Install and Configure the UnifiedPush Server
Getting the UnifiedPush Server up and running with an on-premise application server is a four-step setup process:
Each of these steps is detailed here, with instructions and useful scripts provided for the supported databases (MySQL, PostgreSQL) and application servers. Make sure to run them in the full-profile mode as discussed below!
Find below the required application server version:
-
UnifiedPush Server version 1.1.x - EAP 6.4.0 GAor WildFly 8.x
-
UnifiedPush Server 1.2.x - EAP 7.x or WildFly 10.x
| You can also run the UnifiedPush Server in the cloud with OpenShift but this requires a different setup process. |
Extract the downloaded archive in a directory of your choice and save that path in an environment variable
UNIX
export APPSRV_HOME=/path/to/SERVER_HOME
WINDOWS
set APPSRV_HOME=X:\path\to\SERVER_HOME
Get the UnifiedPush Server Application Files
The UnifiedPush Server application is provided in two files: unifiedpush-server.war and unifiedpush-auth-server.war. These files contain the core functionality and authentication components of the UnifiedPush Server. Both files are necessary to achieve a working UnifiedPush Server application.
Download the latest copies of these files using the following link:
Different files are provided for each application servers:
-
For WildFly, unifiedpush-server-wildfly.war
-
For EAP, unifiedpush-server-as7.war
Extract the downloaded archive in a working directory of your choice and save that path in an environment variable.
UNIX
export WORK_DIR=/path/to/WORK_DIR
WINDOWS
set WORK_DIR=X:\path\to\WORK_DIR
From now on we will refer only to unix syntax. It will be, however, pretty simple to convert the commands to the Windows syntax.
Configure JMS destinations for the UnifiedPush
The UnifiedPush Server 1.2.x requires JMS queues and topics that it uses for token loading, notification dispatching and metrics collection.
Following CLI script creates all required JMS destinations and also configures address settings that influence JMS destinations behavior:
$ $APPSRV_HOME/bin/jboss-cli.sh --file=$WORK_DIR/configuration/jms-setup-wildfly.cli
Generate the UnifiedPush Database and Datasource
The UnifiedPush Server requires an accompanying database in which to store push application, variant and installation details. You can use the database of your choice but the corresponding datasource added to the application server must have JNDI name java:jboss/datasources/UnifiedPushDS.
Information is provided here for generating UnifiedPush datasources for several database types. Note that if the intended application server has not previously been used with the chosen database type, additional configuration must also be completed in order to enable the application server to connect to the database. As detailed here, sources and scripts are available to assist with all these processes.
MySQL Database
You can use a MySQL database with the UnifiedPush Server. As demonstrated here, the application server must first be configured for MySQL and the UnifiedPush MySQL database must exist before the application server can be configured with the associated UnifiedPush datasource.
To complete these prerequisite processes and configure the application server for the UnifiedPush MySQL database, complete the following steps:
-
Copy the MySQL module, located in the databases/src/main/resources/modules/com directory of the release bundle, to the application server modules directory
$ cp -r $WORK_DIR/databases/src/main/resources/modules/com $APPSRV_HOME/modules/
-
Add the MySQL JDBC driver to the application server mysql module
$ mvn dependency:copy -Dartifact=mysql:mysql-connector-java:5.1.44 -DoutputDirectory=$APPSRV_HOME/modules/com/mysql/jdbc/main/
-
Create the UnifiedPush MySQL database
For 1.0.x :
$ mysql -u <user-name> mysql> create database unifiedpush default character set = "UTF8" default collate = "utf8_general_ci"; mysql> create user 'unifiedpush'@'localhost' identified by 'unifiedpush'; mysql> GRANT SELECT,INSERT,UPDATE,ALTER,DELETE,CREATE,DROP ON unifiedpush.* TO 'unifiedpush'@'localhost';
For 1.1.x :
$ mysql -u <user-name> mysql> create database unifiedpush default character set = "UTF8" default collate = "utf8_general_ci"; mysql> create database keycloak default character set = "UTF8" default collate = "utf8_general_ci"; mysql> create user 'unifiedpush'@'localhost' identified by 'unifiedpush'; mysql> GRANT SELECT,INSERT,UPDATE,ALTER,DELETE,CREATE,DROP,INDEX ON unifiedpush.* TO 'unifiedpush'@'localhost'; mysql> GRANT SELECT,INSERT,UPDATE,ALTER,DELETE,CREATE,DROP ON keycloak.* TO 'unifiedpush'@'localhost';
-
Start the application server, using the full-profile mode
$ $APPSRV_HOME/bin/standalone.sh --server-config=standalone-full.xml
-
Configure the application server to use the MySQL driver and create and add the UnifiedPush datasource for the MySQL database using the application server CLI and downloaded configuration script, located in the databases directory of the release bundle
For WildFly:
$ $APPSRV_HOME/bin/jboss-cli.sh --file=$WORK_DIR/databases/mysql-database-config-wildfly.cli
For EAP:
$ $APPSRV_HOME/bin/jboss-cli.sh --file=$WORK_DIR/databases/mysql-database-config.cli
PostgreSQL Database
You can use a PostgreSQL database with the UnifiedPush Server. As demonstrated here, the application server must first be configured for PostgreSQL and the UnifiedPush PostgreSQL database must exist before the application server can be configured with the associated UnifiedPush datasource.
To complete these prerequisite processes and configure the application server for the UnifiedPush PostgreSQL database, complete the following steps:
-
Copy the PostgreSQL module, located in the databases/src/main/resources/modules/org directory of the release bundle, to the application server modules directory
$ cp -r $WORK_DIR/databases/src/main/resources/modules/org $APPSRV_HOME/modules/
-
Add the PostgreSQL JDBC driver to the application server postgresql module
$ mvn dependency:copy -Dartifact=org.postgresql:postgresql:9.2-1004-jdbc41 -DoutputDirectory=$APPSRV_HOME/modules/org/postgresql/main/
-
Create the UnifiedPush PostgreSQL database
For 1.0.x :
$ psql -U <user-name> psql> create database unifiedpush; psql> create user unifiedpush with password 'unifiedpush'; psql> GRANT ALL PRIVILEGES ON DATABASE unifiedpush to unifiedpush;
For 1.1.x :
$ psql -U <user-name> psql> create database unifiedpush; psql> create database keycloak; psql> create user unifiedpush with password 'unifiedpush'; psql> GRANT ALL PRIVILEGES ON DATABASE unifiedpush to unifiedpush; psql> GRANT ALL PRIVILEGES ON DATABASE keycloak to unifiedpush;
-
If necessary, enable UnifiedPush Server access to the PostgreSQL database by adding the following lines to your $POSTGRES_HOME/data/pg_hba.conf file
host all unifiedpush <IP_ADDRESS>/32 md5
-
Start the application server, using the full-profile mode
$ $APPSRV_HOME/bin/standalone.sh --server-config=standalone-full.xml
-
Configure the application server to use the PostgreSQL driver and create and add the UnifiedPush datasource for the PostgreSQL database using the application server CLI and downloaded configuration script, located in the databases directory of the release bundle
For WildFly:
$ $APPSRV_HOME/bin/jboss-cli.sh --file=$WORK_DIR/databases/postgresql-database-config-wildfly.cli
For EAP:
$ $APPSRV_HOME/bin/jboss-cli.sh --file=$WORK_DIR/databases/postgresql-database-config.cli
Create the database schema
After the application server is configured for the UnifiedPush datasource, the schema must be created. Inside of the release bundle there is a migrator folder which contains a command line interface to create the required database schema. The tool is also used to migrate from an existing schema to a newer version of the schema, used for the UnifiedPush Server.
Copy the liquibase example file to liquibase.properties and edit it to match your database name and credentials.
cp liquibase-database-flavor-example.properties liquibase.properties
After the liquibase.properties contains the proper credentials, you need to execute the migration tool:
./bin/ups-migrator update
In case of a successful run, the script prints
Liquibase Update Successful
Deploy the UnifiedPush Server
With the database schema in place, the two UnifiedPush Server application .war files must both be deployed to the application server to achieve a complete and operational UnifiedPush Server.
To deploy the UnifiedPush Server, copy the two .war files to $APPSRV_HOME/standalone/deployments/. This can be done either before or after starting the application server.
After deployment with the application server running, the UnifiedPush Server Console can be accessed at http://localhost:8080/ag-push/. For information about using the Console, see Using the Admin UI.
Database Migration
For migrating the database schema to a new version the migration tool from the above Create the database schema section is used. For details around the database migration, consult the Migration guide.


I doubt it is really due to the compiler problem. As indicated by the following output (NWChem built with Intel 10.1.025 and MKL 10.1 and MPICH), maybe it has something to with MPI. The same MPI library works for Molpro and other programs.
NWChem SCF Module
-----------------
WO3 1A1 C3v B3LYP/aug-cc-pVDZ(-PP)
ao basis = "ao basis"
functions = 123
atoms = 4
closed shells = 19
open shells = 0
charge = 0.00
wavefunction = RHF
input vectors = atomic
output vectors = ./wo3.1a1.c3v.tddft.b3lyp.ad.movecs
use symmetry = T
symmetry adapt = T
Summary of "ao basis" -> "ao basis" (spherical)
------------------------------------------------------------------------------
Tag Description Shells Functions and Types
---------------- ------------------------------ ------ ---------------------
O aug-cc-pVDZ 9 23 4s3p2d
W user specified 16 54 5s5p4d2f
Symmetry analysis of basis
--------------------------
a' 74
a" 49
p2_26088: p4_error: net_recv read: probable EOF on socket: 1
p4_26092: p4_error: net_recv read: probable EOF on socket: 1
p1_26087: p4_error: net_recv read: probable EOF on socket: 1
Last System Error Message from Task 0:: Inappropriate ioctl for device
rm_l_2_26091: (1.585938) net_send: could not write to fd=7, errno = 32
p3_26090: p4_error: net_recv read: probable EOF on socket: 1
rm_l_1_26089: (1.589844) net_send: could not write to fd=6, errno = 32
p4_error: latest msg from perror: Bad file descriptor
rm_l_5_26096: (1.582031) net_send: could not write to fd=11, errno = 9
rm_l_5_26096: p4_error: net_send write: -1
rm_l_3_26093: (1.585938) net_send: could not write to fd=8, errno = 32
rm_l_4_26095: (1.585938) net_send: could not write to fd=9, errno = 32
[0] MPI Abort by user Aborting program !
0:Child process terminated prematurely, status=: 11
(rank:0 hostname:n13 pid:26015):ARMCI DASSERT fail. signaltrap.c:SigChldHandler():167 cond:0
[0] Aborting program!
p0_26015: p4_error: : 0
p3_26090: (7.585938) net_send: could not write to fd=8, errno = 32
p0_26015: (11.617188) net_send: could not write to fd=4, errno = 32
mpiexec: Warning: task 0 exited with status 1.
Quote:Shenggangli
Jul 19th 2:09 amWe have. I will try some old versions of the Intel compilers. I will let you know what happenes.
Thanks.
Quote:Bert
Jul 18th 8:59 pmThis clearly sounds like a compiler issue. I've seen others finding problems with the latest Intel compiler. Do you have access to another compiler (other then GNU that works), or Intel 10?
Bert


Here will be borders Here will be borders Here will be borders Here will be borders Here will be borders Here will be borders Here will be borders Here will be bordersHere will be borders Here will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be bordersHere will be borders
| Lalka | Lalka 2 |
|---|---|
| Lalka | Lalka 2 |


City of the Future Explores the Future of Mobility in Cities
- Written by Christele Harrouk
- 8 days
City of the Future is a bi-weekly podcast from Sidewalk Labs that explores ideas and innovations that will transform cities.
In the third episode from season 2, hosts Eric Jaffe and Vanessa Quirk discuss the future of mobility in cities and share ideas that would make it way easier to get around without owning a car. In the podcast, author Horace Dediu talks about micro-mobility; TriMet's Bibiana McHugh tells the story behind GTFS and the OpenTrip Planner; MaaS Global CEO Sampo Hietanen explains the concept of Mobility as a Service (MaaS); and Sidewalk Labs' Corinna Li explains what Mobility on Demand could be like in the city of the future.
Micro-mobility, or in other terms, “anything that’s not a car”, is a bunch of transportation means that are becoming more and more popular nowadays, perfect for short trips. In fact, “in the U.S., the most common trips are about less than five miles”. These vehicles that require physical and digital infrastructures are being rapidly upgraded and improved.
Moreover, the hosts talk about the need for open, standardized data formats, like GTFS, which represents schedule data for transit services, to help you move in a city. They discuss that Mobility as a service for the people, for the users, is a “promise of anywhere, any time”. Actually, in Finland, where all transportation service providers need to develop open interfaces, the application Whim, helps people use any modes they want, public or private, in any combination, and with one payment, ride them all, without jumping from one app to another.
Finally, cities are working on strategies to create mobility packages that can offer a frictionless way to travel that combines cost and convenience, making mobility in the future, as convenient as possible. This Mobility on Demand concept would also generate vibrant urban environment, “because, at the end of the day, it’s not just about mobility, but it’s really about what is the type of place and the feel of the place and the quality of life” that people want to have.


Davido releases his new album “A Good Time”
by Damilola IsmailDavido has dropped his birthday gift to his fans, a new album he titled “A Good Time.”
A Good Time album is a follow-up to the debut album of Davido titled Omo Baba Olowo. The new album has 17 songs include; Blow My Mind with American singer Chris Brown, Risky which he featured Popcaan and more, featuring Nigerian artistes like Peruzzi, Zlatan Ibile, Naira Marley, Wurld, Dremo among others.
Davido further gives credit to himself, Asa Asika and his father, Dr. Deji Adeleke as the album’s executive producers.
It’s been 7 years since I last dropped a complete body of work. A LONG TIME. Since my first album you’ve been with me and watched me develop, grow. Progress, regress, and progress again. A TURBULENT TIME. Since then I’ve lost too many loved ones. HARD TIMES. But I have also gained 3 beautiful littles ones. A BLESSED TIME. To crown it, I found the love of my life. A BLISSFUL TIME. I’m grateful for all of this. I’m grateful to have been through this journey with all your support. And I’m grateful to be able to share this project which signifies the point of my life I am at right now. What I’m currently having. What you should always make sure you have no matter what you are going through. “A GOOD TIME!!”
https://music.apple.com/ng/album/a-good-time/1484518867
Follow us on Facebook – @Lailasnews; Twitter – @LailaIjeoma for updates


Khloe Kardashian gets trolled as Kim awkwardly cuts off Kourtney during interview
Kim Kardashian awkwardly cut off sister Kourtney at the People's Choice Awards and Khloe has since been trolled by fans for not sticking up for her eldest sister
by Brogan-Leigh HurstKim Kardashian awkwardly interrupted her sister Kourtney during an interview.
The Kardashian clan were out in full force at the People's Choice Awards red carpet in Los Angeles on Sunday.
The three sisters and their mum Kris Jenner were talking to E! News reporter Giuliana Rancic, 45, who asked what designers they were wearing.
Eldest sister Kourtney, 40, explained: "I didn't plan this - Naeem Khan? Is that how you say it?"

In a cringey display, Kim shouted: "All that matters if that we're wearing KKW Diamonds! That's all that - we're all wearing that." She had no qualms plugging her own perfume line.
"I was saving you since you didn't know who you were wearing," Kim sassily told Kourtney.
"No, it's Naeem Khan, I just didn't know how to pronounce it," a quiet Kourtney replied, as Kim offered an: "Oh."
Now fans have trolled youngest sister Khloe, 35, for not sticking up for Kourtney in the heated moment, saying she didn't deserve the award she had won at the event.
An angry Kardashian fan tweeted Khloe with: "b***h we ain't voting next year if you just gon stand up there and not say s**t @khloekardashian".
In response, Khloe admitted it was too "loud" to hear that she had won an award and as a result, she didn't thanks fans for voting.
Khloe wrote back: "It's so beyond loud in here. I had no idea I won an individual award until we walked off stage. I feel so badly right now.
"I am so f***ing grateful and appreciative! I can't believe I didn't say anything but I didn't hear that I won until after."


| DOSE: T+ 0:00 |
2 hits |
oral |
LSD |
(blotter / tab) |
| T+ 1:00 |
2 hits |
oral |
LSD |
(blotter / tab) |
I dropped my first two tabs right as my mom was going out.  They didnt taste like anything, just like paper. I waited and I waited for effects, but didnt feel any. I felt a bit happy though. About an hour after dropping the acid I saw these little yellow bubbles on the wall, nothing pronounced, just moving patterns. It was pretty, but not very strong. I dropped two more tabs. It felt like I was dreaming. I was laughing alot and just felt good all over.
About 15 minutes after dropping the other 2 tabs I looked over at this painting of two sailboats on the wall. I was in the living room on the couch. they seemed like they were melting, like the water was blending together, like it was all just merging. It wasnt truly hitting yet. When it hits, I discovered, you just know. I kept staring at the picture trying to see, something.
Then it hit. It hit me so fast and I wasnt truly ready for it. My mom had been home for a while and was upstairs asleep. I looked around the room. Everything had changed. My world had changed. The way sound traveled had changed. The way light moved changed. My world was turned upside down. I felt like I had reached something I could never recover from. It was completely black, with no steps back to reality.  But I realized I was on drugs, and that I would be fine in a few hours. I wanted to run upstairs to the arms of my mother, to be close to her. and im a 17 year old boy. We just dont do that.
I tried to calm down. I laid on the couch and hid my head in the pillows.  I laid there. I heard all these loud noises from upstairs.  It was very odd.  But I didnt move. I felt like those pillows were a bottomless pit. I felt all different sensations on my hands. I was feeling textures and fabrics that werent there, and the sound on the tv sounded so weird. I sat up. It was almost hard to move. I didnt feel like moving at all, yet I really wanted to. I pulled up my shirt and touched my chest. I felt like an alien. I was cold, I felt lifeless.  I was just standing there next to the box I keep my cigs in for a long time.
I put on my shoes and walked outside. I felt like all I needed to do was protect myself. Anything to care for my body. I wondered if I was gonna be ok. I tasted the cigarette. It didnt taste like smoke at all, just clean air. I continued on my walk and realized that no matter what was gonna happen that night, I still had people who loved me and they would love me no matter what. Love was the most important thing in the world. I looked up at the stars through the trees and they had never looked so brilliant. They were beautiful colors too. I thought if I stared at them too long I might fall into them so I looked away.
I wondered why everything I did was to hurt my loved ones. I then went into the bathroom and the wallpaper produced moving patterns. I was very intoxicated. I didnt want to have sex like I usually do, just hug and be close to someone. The shower curtain morphed into a Victorian dress. I then went to my room to try and sleep. I could hear the cat rolling around on the floor, and the faraway ocean purring and the waves crashing right in my room. I could never hear the ocean like that before. Then I went into my moms room and slept next to her.
Acid can be beautiful, I know it.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


--- title: When is the next event? layout: basic_page_layout hero_text: When and where are speak events taking place? ---


WITNESS LIST Energy Resources Committee April 8, 1997-10:30A HB 1730 For: Representative Turner (Himself) On: Larry Borella (Railroad Commission) HB 1958 For: Johnnie B. Rogers Jr. (TX Propane Gas Assoc.) Against: Mike Williams (TX Electric Cooperative) On: Dan Kelly (Railroad Commission) HB 2691 On: David Garlic (Railroad Commission) Mike Wiley (TECC) Noel Tyler (University of Texas) HB 3108 For: Representative Craddick (Himself) Scott Anderson (T.I.P.R.O.) On: Dan Burck (University of Texas) Pamela Bacon (Attorney General) T. Michael O'Conner (TX A&M University Syste) HB 3162 For: Representative Brimer (Himself) Scott Anderson (T.I.P.R.O.) Against: John Butler (Petroleum Information) Nim Graves (HPDI) Suzy Woodford (Common Cause TX) On: David Schieck (Railroad Commission) Debra Williams (Railroad Commission) Mike Regan (Railroad Commission) HB 3471 For: Representative Eiland (Himself) On: Karen Raven (SECO) Tobin Harvey (SECO)


Never above you. Never below you. Always beside you.

The ultimate test of a relationship is to disagree but to hold hands.
Love does not consist of gazing at each other, but in looking outward together in the same direction.
The best way to love someone is to help them reveal the best version of themselves.
We may have started as individuals, but now we are as one.
At the end of the day, life is about being happy being who you are, and we feel like we are so blessed to have the support system and the best family to really just support each other no matter what we're going through.


Before using the shipcloud API, you need to set the API access key:
{% highlight ruby %} Shipcloud.api_key = '{{ site.apikey }}' {% endhighlight %}Since Version 0.3.0, you can also do this via a configuration block, e.g. in an initializer:
{% highlight ruby %} Shipcloud.configure do |config| config.api_key = '{{ site.apikey }}' end {% endhighlight %}To create a new shipment on the shipclod platform, you need to provide the name of the carrier, to- and from- address, and the package dimensions. For details, see our API reference.
{% highlight ruby %} Shipcloud::Shipment.create( carrier: 'ups', from: from-address-params, to: to-address-params, package: package-params, create_shipping_label: true ) {% endhighlight %}
Shipment#create
will return shipping label and tracking information, encapsulated in a
Shipcloud::Shipment
object:


static is the default value. An element with position: static; is not positioned in any special way. A static element is said to be not positioned and an element with its position set to anything else is said to be positioned.
behaves the same as static unless you add some extra properties. Top;Left;
Setting the top, right, bottom, and left properties of a relatively-positioned element will cause it to be adjusted away from its normal position. Other content will not be adjusted to fit into any gap left by the element.
Other static element
A fixed element is positioned relative to the viewport, which means it always stays in the same place even if the page is scrolled. As with relative, the top, right, bottom, and left properties are used.
I'm sure you've noticed that fixed element in the lower-right hand corner of the page. I'm giving you permission to pay attention to it now. Here is the CSS that puts it there:
class="relative" The element is positioned relative to its normal position, so "left:20" adds 20 pixels to the element's LEFT position
class="absolute" The element is positioned relative to its first positioned (not static) ancestor element
class="relative" The element is positioned relative to its normal position, so "left:20" adds 20 pixels to the element's
LEFT position
class="absolute" The element is positioned relative to its first positioned (not static) ancestor element


Chicken ‘billionaire’ Poland is Europe’s poultry king
KONDRAJEC PANSKI (Poland), Nov 12 — In what looks like a Niagara Falls of yellow feathers, thousands of chicks cascade down a conveyor belt in central Poland.
A day old, they only have 41 left to live. Their fate is sealed: Once grown, they will wind up on a plate.
Their lives may be brief, but their living conditions could be better, according to animal rights activists, ever more active and influential in Poland and elsewhere.
The city of New York voted last month to ban the sale of foie gras, which is made from the livers of force-fed ducks and geese.
Also last month France announced that the culling of male chicks by maceration would be outlawed by the end of 2021.
For the day-old Polish chicks, their next stop is a chicken coop the size of a hangar.
It houses 54,000 chickens — hopping, pecking, clucking and raising their heads to drink from suspended water bowls.
Chicken over pork
“After six weeks, the chickens grow to between 2.7 and 2.8 kilogrammes” after weighing 40 grammes on day one, said Andrzej Gontarski, head of the farm comprising a dozen such warehouses in the village of Kondrajec Panski.
Poland’s poultry industry has come a long way over the last decade.
The country is now Europe’s top chicken producer and exporter, having raised more than a billion chickens for meat last year, according to Statistics Poland — or 10 times more than in 2009.
Chicken was the natural choice over pork: The sky is the limit for the poultry export market, whereas many countries, especially Muslim ones, do not allow pork.
The production cycle is also shorter, and the invested funds are recouped faster, after a dozen weeks or so.

Life is short
Their short lives will come to an end in the nearby village of Ujazdowek at a slaughterhouse — owned by the Polish firm Cedrob — that employs 1,600 people and processes 750,000 chickens a day.
Attached by their knees to an overhead chain conveyor, the chickens are anaesthetised and then paralysed by an electric shock, having first been spritzed with water to help the current pass more easily.
Their necks sawed off, the chickens lose all their blood, which dribbles down into a suspended trough. The animals die after a half hour.
They are then spritzed with warm water to make it easier for a machine furnished with rubber fingers to pluck their feathers.
Sent to a cold room to lower their body temperatures, the chickens are cut into pieces.
Another machine packages up the segments to be sold either frozen or fresh.
Frankenstein chicken
In Poland, the living conditions of chickens raised on industrial farms have drawn criticism from animal rights activists like the Otwarte Klatki (Open Cages) group.
The group launched a campaign called “Frankenkurczak” (Frankenchicken), in a reference to the Frankenstein monster, to denounce the practice of fattening up chickens to an extreme degree.
“The bird’s breast is disproportionately large compared to its legs. It’s common for the leg bones to break, they can’t bear the weight,” said the group’s spokeswoman Anna Izynska.
“Imagine a five-year-old child who weighs 150 kilogrammes. When a bird like that falls to the ground, it’s unable to get up again. Often it’ll die right there, deprived of food and water.”
Piotr Tarkowski, who is in charge of selling poultry to foreign markets at the Polish firm Agraimpex, believes European breeding legislation could be made more humane.
One example, he said, would be to reduce the maximum number of birds allowed per square metre of an industrial chicken coup.
Growing industry
Every year, 1.8 billion chicks are born in Poland, according to Mariusz Paweska, an official from a large hatchery in the area, in the village of Skarzynek.
Many are exported almost immediately, notably to Belarus and Ukraine, but more than half are raised in Poland for consumption at home or export later on.
Its export markets are EU countries, led by Germany, the Netherlands and Britain, with Ukraine, South Africa and Hong Kong the main ones outside of the bloc.
The industry continues to grow.
“Just this year we’ve seen six new slaughterhouses open up. They can process more than 1.4 million chickens a day,” said Tarkowski, whose employer Agraimpex exports €22 million ($24 million) worth of poultry every year.
Poland’s main asset are its prices, much lower than those of Western poultry farmers, according to Mariusz Szymyslik, a co-director of the national chamber of poultry and animal feed.
He says trade barriers protect in particular the French and German markets, adding that “if the European market were totally free, Polish poultry would have swept the Western competition.” — AFP


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Second Term Commences Grade XI, XII & A Levels
+2 Students/A Level Students
Deadline: Homework Assignments Dashain-Tihar Vacation Submission
+2 Students/A Level Students
Awareness Program – Female Health
+2 Students/A Level Students
Trinitians: Publication (Wall Magazine)
+2 Students/A Level Students
Results: First Term Exams Grade XI, XII and AS Level
+2 Students/A Level Students


Fix:
Feature:
Fixed:
Feature:
In plugin.xml, the class conversion should ignore the string after ':'. They are extended parameters of executable classes and do not participate in the determination of class names.Feature:
Workaround: Maven/Gradle build system sometimes it will accidentally cause Artifacts to report an error, provide parameters to skip Artifacts modification
Fixed:
Fixed:
Breaking Changes:
Fixed:
Feature:
Feature:
Feature:
Support Eclipse-ExtensibleAPI in MANIFEST.MF, it should be able to show alert when add additional API for the host.
Fragment plugins can use the host plugin's class and dependencies, not asking import package or required bundle if it has been added in the host, and in order entry they will be re-order to near index.
Support Fragment-Host header in MANIFEST.MF, it should be able to highlight keyword, grammar check, BSN check and link and auto-completion, attribute check, and host state check
Support fragment.xml hints and lints
Fixed:
Fixed:
Fixed:
Fixed:
Feature:
Fixed:
Feature:
Feature:
Fixed:
Fixed:
Feature:
Fixed:
Fixed:
Feature:
Fixed:
Feature:
Fixed:
Feature:
.exsd
as xml, and valid by schema fileplugin.xml
file, and support hint, completion #22
issue
Fixed:
Known issues:
plugin.xml
not support some rule now, like extendClass
, child number limit, ets. #24
issue
plugin.xml
resolve dynamic by Cached-value
, and identify
attribute was
reference by plugin.xml
resolve, PSI modified persist into virtual file was delay, so
identify
list won't util PSI persist. #25
issue
Fixed:
Feature:
Fixed:
Performance:
Fixed:
Breaking Changes:
Fixed:
New:
Fixed:


e-mission server running successfully!
Congratulations!
- Your instance of the e-mission server (https://github.com/e-mission/e-mission-server/) is running successfully.
- Additional documentation is at https://github.com/e-mission/e-mission-docs/
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Veritas.

Rich connections, powerful networks.
Find out how to tap into the world's most affluent university network.
Get an education... and stuff.
Learn things in your classes. Or do nothing, whatever floats your boat.


Jason Lewis
Yet Analytics
I think I was destined to become a functional programmer.
Some years ago
I spraypainted liked graffiti like this...
...and ended up here.
Clojure
Datomic
(of which these are but two)
You could not step twice into the same river.
Really, (>= things 3)
Object-Oriented (stateful):
Functional:
Baltimore Clojure Meetup
Jason Lewis
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{% extends "base.html" %} {% load i18n %} {% block title %}{{ block.super }} - {% trans "Submit Article" %} {% endblock %} {% block scripts %} {% endblock %} {% block content %}
{% trans "We really welcome new and interesting articles with original opinions and content. Please use this form to send us an article." %}
{% trans "We cannot guarantee we will publish it, but we will do our best to give you feedback. Well-written and well-researched short (800-1200 words) articles are more likely to be published." %}


rector
An automated tool for updating and refactoring PHP 5.3+ code.
More information: home page
- Process a specific directory:
rector process path/to/directory
- Process a directory without applying changes (dry run):
rector process path/to/directory --dry-run
- Process a directory and apply coding standards:
rector process path/to/directory --with-style
- Display a list of available levels:
rector levels
- Process a directory with a specific level:
rector process path/to/directory --level level_name


[gecode-users] Pickling spaces and the extensional constraint in gecode-trunk
M Dobrogost
michal.dobrogost at gmail.com
Mon Jul 2 20:31:17 CEST 2007
Hello All,
Especially with the recent release of a paper on the topic of pickling
within Alice I thought it might be a good idea to ask if there is already a
system implemented for pickling Gecode Spaces. So, is there? =)
Also, the extensional constraint (catalog, compatibility) constraint has
been "temporarily disabled" in the gecode-trunk since revision 4515. Could
someone provide information as to why it was disabled?
Cheers,
Michal
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ssize_t sendfile(int out_fd, int in_fd, off_t *offset, size_t count);
in_fd should be a file descriptor opened for reading and out_fd should be a descriptor opened for writing.
If offset is not NULL, then it points to a variable holding the file offset from which sendfile() will start reading data from in_fd. When sendfile() returns, this variable will be set to the offset of the byte following the last byte that was read. If offset is not NULL, then sendfile() does not modify the current file offset of in_fd; otherwise the current file offset is adjusted to reflect the number of bytes read from in_fd.
If offset is NULL, then data will be read from in_fd starting at the current file offset, and the file offset will be updated by the call.
count is the number of bytes to copy between the file descriptors.
The in_fd argument must correspond to a file which supports mmap(2)-like operations (i.e., it cannot be a socket).
In Linux kernels before 2.6.33, out_fd must refer to a socket. Since Linux 2.6.33 it can be any file. If it is a regular file, then sendfile() changes the file offset appropriately.
Other UNIX systems implement sendfile() with different semantics and prototypes. It should not be used in portable programs.
In Linux 2.4 and earlier, out_fd could also refer to a regular file, and sendfile() changed the current offset of that file.
The original Linux sendfile() system call was not designed to handle large file offsets. Consequently, Linux 2.4 added sendfile64(), with a wider type for the offset argument. The glibc sendfile() wrapper function transparently deals with the kernel differences.
Applications may wish to fall back to read(2)/write(2) in the case where sendfile() fails with EINVAL or ENOSYS.
The Linux-specific splice(2) call supports transferring data between arbitrary files (e.g., a pair of sockets).


Escape Room
Enter your name
How to play
Proceed Into House!
Answer the Witty Riddles
Correct answers grant you points
High Scores display at the end


sphinxcontrib-ocaml¶
sphinxcontrib-ocaml is a Sphinx (1.6.3+) extension to document OCaml libraries. It provides a Sphinx domain for OCaml and autodoc-like directives to generate documentation from source code.
It’s licensed under the MIT license. It’s available in two parts, on the Python package index and OPAM (both are required). Its documentation and its source code are on GitHub.
Questions? Remarks? Bugs? Want to contribute? Open an issue!
Status¶
sphinxcontrib-ocaml is still highly experimental. Interfaces may be changed unannounced. We welcome all feedback from our daring early users.
Quick start¶
Install both packages:
$ pip3 install sphinxcontrib-ocaml
$ opam install sphinxcontrib-ocaml
Enable and configure the Sphinx extension in your conf.py
file:
extensions.append("ocaml")
primary_domain = "ocaml" # Optional
ocaml_source_directories = ["src"]
ocaml_findlib_packages = ["batteries", "js_of_ocaml"]
And document your module (in an .rst
file):
.. autoocamlmodule:: MyModule


PLANET SICK-BOY: http://www.sick-boy.com
Let's face it, any movie about a serial killer released in the next few years is going to draw unfair comparisons to `Se7en'. And why shouldn't they? It's only the Holy Grail of the genre. Like `Silence of the Lambs' was to the early 90's, `Se7en' will be to the late 90's and maybe beyond. Many movies strive to be as dark, unnerving and stylistic and most fail. With that said, `Fallen' is the closest thing I've seen so far.
If you've seen the trailer, you get the basic story: Detective John Hobbes (Washington) is responsible for catching an evil serial killer and is about to witness his execution. As the killer dies, his soul floats out of his body into an unsuspecting prison guard. The trick is that the soul can pass from person to person through any casual contact (not unlike herpes). The `host' of the soul sings or hums or whistles the Rolling Stones classic `Time Is On My Side', so that Hobbes (and the slow viewer) can catch on that he's not really dead.
Hobbes gets no help from crusty Lieutenant Stanton (Sutherland) and turns to Gretta Milano (Davidtz), the daughter of a suspiciously deceased old cop, who turns him on to the biblical meaning of it all. And wouldn't you know it, the more he finds out about this travelling soul, the more he realizes that it will be impossible to stop it. Duh!
The movie has a great look to it, mostly in part to Newton Thomas Sigel (`The Usual Suspects'). It's dark and somewhat stylistic, but not quite unnerving. When you see through the eyes of the killer, everything gets dark and discolored and warped (`Fincher-Vision'). And there's a very impressive scene where the soul is chasing Milano down a busy sidewalk, flinging itself from host to host in an attempt to catch her.
Washington plays Hobbes pretty much the same as his `Ricochet' cop character. John Goodman gets all of the good one liners (including my revised tag line). Davidtz (Miss Honey in `Matilda') does what she can with a pretty skimpy part. Most of the best acting actually comes from the people who briefly host the demon soul. Their creepy grins and singing are one of the really cool parts of this film.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Mike Walter
Web Developer
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MONTAG SHORT FICTION #005
MONTAG publishes curious short fiction, exploring our strange future and what it will feel like when we get there. They take the technology you already know as a starting point and show where it might take us. The stories are outré, evocative, and atypical; they're also closer to today than you think.
A Superstar Forever asks: "What if the world's biggest pop star was not quite as authentic as he seemed...?"
Her phone had started chirruping with incoming messages, and didn’t stop. Olivia swiped Snapchat into silence as the notifications kept rolling in, and pecked at the screen.
OMG
OMG
OMG
IYTTFGJHGVKJHKHG!!!!1!!
I JUST WON THE TICKETS!!!
WE’RE GOING TO SEE HIM ON FRIDAY
OMG
PLEASE TELL ME YOU CAN GO!!!!!!
Her best friend Tiffany had been calling in to Smash FM every hour, on the hour, all week, to try to win VIP tickets to see Justin Bieber. And she’d done it. Olivia couldn’t believe it.
Omg!!!, Olivia messaged back. Def going with u!!!
“We’re going to be right on the front row!” Tiffany shrieked with excitement, gripping the tickets on the way to the stadium. Olivia drove quickly and smiled.
“I hope he plays ‘Love Yourself,’ and ‘Heartbreaker,’ and – ooh, if he does ‘Baby’ I will literally die!” Tiffany was shaking with excitement as she swiped on extra swathes of turquoise eyeshadow.
“I like his old stuff better,” Olivia shrugged, adjusting her crop top in the mirror. “And his super-fans” — she glanced quickly over at Tiffany — “are a bit… weird, you know? Constantly tweeting at him, begging him to follow back, or ganging up on other fandoms. You know, the Gaga fans spread a rumour the other day that Biebs had died in a car crash, and so in retaliation the Beliebers left coffin emojis all over Gaga’s Instagram. Ugh, so childish.”
Tiffany wasn’t listening. Her mind was fully focused on Justin; so cute, so dangerous, and so mysterious since his much-publicised comeback. He never met his fans any more. From the look of his Instagram feed, his time was mainly spent hanging out with hip-hop stars in clubs and models at private resorts.
Maybe, she thought, if they could sneak backstage, and if they showed the right amount of skin, and if she could catch his eye – she could appear on his Instagram too…
“Is this too slutty? Or not enough?” she half-joked, tugging at her artfully-tumbling hair.
“You’re such hipster garbage!” laughed Oliva, and flung the Smash FM VIP badges at her friend. “And no, neither – you look cool.
Bieber had been onstage for over an hour, and the two girls were dallying between elation and nervous exhaustion. Justin’s dance moves were, of course, metronomically-perfect, and the carefully-rationed glimpses of his washboard stomach elicited screams and purring admiration in equal measure.
After an opening half that was drowned out by shrieking (a lot of it Olivia and Tiffany’s), the show had settled into a series of surgically-precise pop songs, interspersed with cheering.
“He’s perfect!” swooned Olivia. Tiffany was too busy hyperventilating to hear. Justin bounced on the stage, just in front of them. His mouth was half bad-boy sneer and half poster-boy pout. His tanned legs could be glimpsed through impeccably distressed jeans, and as he finished singing, he swept his famous chop of hair up out of his eyes – and he finally smiled as he started to address the stadium.
A thousand teenage girls in the crowd felt like fainting, but only one actually did. Olivia gasped as Tiffany hit the floor, and grasped for her friend whilst waving frantically for help.
“Oh no oh no oh no!”
Two security guards in yellow polo shirts gently helped Tiffany and Olivia over the barrier, away from the crowd. As one checked Tiffany’s pulse, Olivia heard Justin’s patter over the screams: “…thanks so much for being here for me… you’re the best fans in the world… and this has been the best and loudest crowd of the tour so far… we’ve got time for one more song…”
The guard grabbed her elbow. “We’re taking your friend backstage,” he shouted. “She’s still not able to stand up. You need to come with us.”
Tiffany looked up from the floor and winked at Olivia.
Backstage, Tiffany slumped, not entirely convincingly, on a plastic garden chair. It wobbled on a floor covered in thick cables that ran from the stage to a huge desk of electronic equipment, where technicians were absorbed in a bank of screens.
Olivia stared pointedly at Tiffany. Tiffany shrugged and grinned, her eyes wide. Through a gap between speakers and flight cases, they could see Justin performing the final song of the show.
“Jesus! Get them out of here! Now! The show’s ending!” Their heads snapped right. A senior security guard ran towards them, waving her clipboard.
The music stopped and the screams spiked, the loudest yet.  Towards them. Twenty metres away. Ten meters away. Five meters…
“We need to get them out of here!”
The other guard grabbed her arm. “Hey! What the hell?”
“You’ve got to move.”
Tiffany thought fast. “I need a minute… I’m feeling faint again, look…”
“Now!”
“What… but… Justin?” Tiffany stared over Olivia’s shoulder. The guards fell silent. Olivia slowly turned around.
“Justin!! Justin, over here! J… Justin…?”
Justin was standing stock-still, just off stage, out of view of the audience. He was staring straight back at them. He didn’t move. Or blink.
He’s not even breathing, thought Olivia.
And then he flickered. A millisecond shimmer. His blonde hair became a translucent blue. All the green hues on his body disappeared. Then he vanished.
An electrical smell – of high-voltage equipment shutting down – hung faintly in the air.
“You aren’t supposed to be here now,” sighed the guard.
“Justin!” Tiffany cried. “Justiiiiin!!”
“Shit, not again,” muttered the senior security guard, still holding her arm. She turned to the other guard. “Donnie, we spoke about this. OK, girls, you need to come with us now.”
She opened the door to a small, windowless side room, flipped on a fluorescent light, and marched them inside.
Olivia read the contract again, and blinked slowly. "So he’s, like… a robot or something?”
The guard stood with her back to the door, blocking it. “No. That’s confidential information.”
“What happened to him? What did you do to him?”
“Here. This agreement explains all you need to know. You witnessed a great show. You were invited backstage to meet Justin. It was a unique and exciting experience. Justin is a very private person since his accident; so you signed this non-disclosure agreement. And then we can all get on with our lives.”
“I want to talk to him! I thought we would get to meet Justin!” Tiffany stammered.
“Tiffany, he’s not real,” Olivia said quietly. “Just sign it so we can go home.”
The car crash. The story was that Justin had escaped from the fiery mess of twisted metal, injured but alive; his friends in the Porsche hadn’t been so lucky. Justin had recuperated; his comeback was front-page news everywhere.
The girls silently signed the contract, pushed it towards the guard, and nodded. They understood. The security guard squinted at them, opened the door, and gestured towards it.
 No-one would believe you anyway.”


{% extends "base.html" %} {% load i18n %} {% block title %}Post a comment{% endblock %} {% block content_header %}Post a comment{% endblock %} {% block content %} {% load safe_markup %} {{ form.non_field_errors }}
Here's what your comment will look like; if you're happy with it, go ahead and post, or feel free to edit and preview again.
Remember that you can use Markdown syntax, but raw HTML will be removed. {% endblock %}


British inventor creates working version of Junkrat's RIP-Tire from Overwatch
Ready to roll.
News by Imogen Beckhelling, Reporter Intern Updated on 15 November 2019
Colin Furze is a British inventor who runs a popular YouTube channel where he makes all kinds of crazy and dangerous looking inventions. Previously, he designed some of the trick weapons from Sekiro: Shadows Die Twice, and now he's turned his attention to Overwatch.
Using chainsaws, spikes, remote control devices and motor bike parts, Furze has managed to create a working version of Junkrat's RIP-Tire in real life. Take a look at his video below to see how he made it, and watch some of the carnage it can create.
It may not explode at the end, but Furze does manage to destroy a fence and smash through some glass panes with his home-made RIP-Tire. It also picks up a fair amount of speed, perfect for chasing down those pesky supports. Junkrat would be proud.
The inventor isn't done with this ultimate project yet, however. The next video he hopes to make the RIP-Tire even more destructive - maybe we'll finally see some explosions.
Overwatch is available on PC, PS4, Xbox One and Nintendo Switch, with Overwatch 2 on its way in the future.


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The first significant city if sailing west from Tunisia. It is a large commercial harbour.
Position 36°54'06"N, 07°46′55"E (harbour entrance)
This is a useful port of entry when coming from Tunsia. Ensure you call the Coastguard on entering Algerian waters and fly the courtesy flag.
Call the Port Authorities on VHF channel 16 or 14 before entering the harbour.. You will receive visits from all the officials.
See Noonsite/Countries/Algeria/Formalities for more information.
Last updated July 2014
You are likely to be berthed outside the police station, among the Coastguard boats.
For water and fuel, ask Harbourmaster. They both will have to be delivered.
You are allowed to freely walk the town without an escort.
Last updated July 2014.


<lcLom>
The <lcLom> provides a set of specialized data elements to use to specify metadata in the learning topics and learning map domain.
Category: Learning and training: metadata elements


#include <PxArticulationJoint.h>
◆ ~PxArticulationJointBase()
| virtual PxArticulationJointBase::~PxArticulationJointBase |
( |
| ) |
|
|
inlinevirtual |
◆ PxArticulationJointBase() [1/2]
◆ PxArticulationJointBase() [2/2]
◆ getChildArticulationLink()
get the child articulation link to which this articulation joint belongs
- Returns
- the articulation link to which this joint belongs
◆ getChildPose()
| virtual PxTransform PxArticulationJointBase::getChildPose |
( |
| ) |
const |
|
pure virtual |
get the joint pose in the child frame
- Returns
- the joint pose in the child frame
- See also
- setChildPose()
◆ getImpl() [1/2]
| virtual PxArticulationJointImpl* PxArticulationJointBase::getImpl |
( |
| ) |
|
|
pure virtual |
◆ getImpl() [2/2]
| virtual const PxArticulationJointImpl* PxArticulationJointBase::getImpl |
( |
| ) |
const |
|
pure virtual |
◆ getParentArticulationLink()
get the parent articulation link to which this articulation joint belongs
- Returns
- the articulation link to which this joint belongs
◆ getParentPose()
| virtual PxTransform PxArticulationJointBase::getParentPose |
( |
| ) |
const |
|
pure virtual |
get the joint pose in the parent frame
- Returns
- the joint pose in the parent frame
- See also
- setParentPose()
◆ isKindOf()
| virtual bool PxArticulationJointBase::isKindOf |
( |
const char * |
superClass | ) |
const |
|
inlineprotectedvirtual |
◆ setChildPose()
| virtual void PxArticulationJointBase::setChildPose |
( |
const PxTransform & |
pose | ) |
|
|
pure virtual |
set the joint pose in the child frame
- Parameters
-
| [in] | pose | the joint pose in the child frame Default: the identity matrix |
- See also
- getChildPose()
◆ setParentPose()
| virtual void PxArticulationJointBase::setParentPose |
( |
const PxTransform & |
pose | ) |
|
|
pure virtual |
set the joint pose in the parent frame
- Parameters
-
| [in] | pose | the joint pose in the parent frame Default: the identity matrix |
- See also
- getParentPose()
The documentation for this class was generated from the following file:


bokeh
¶The bokeh
module itself contains a few useful functions for testing
and reporting issues:
test
(args=None)¶bokeh.document
¶The document module provides the Document class, which is a container for all Bokeh objects that mustbe reflected to the client side BokehJS library.
Document
(json_objs=None)¶The Document class is a container to hold Bokeh objects that requires reflecting to the client BokehJS library.
autoadd
¶bool
autostore
¶bool
context
¶PlotContext
the plot context for this document
ref
¶str
reference to the plot context for this document
add
(*objects)¶Add top-level objects (and any references they hold to sub-objects) to this Document.
Warning
This function should only be called on top level objects such as Plot, and Layout containers.
| Parameters: | *objects (PlotObject) – objects to add to the Document |
|---|---|
| Returns: | None |
clear
()¶Remove all plots from this Document
| Returns: | None |
|---|
clear_callback_queue
(models=None)¶Clear the callback queue on given models.
| Parameters: | models (seq[PlotObject], optional) – models to clear callbacks for (default: None) If models is None, clears callback queue on all models in this Document. |
|---|---|
| Returns: | None |
disable_callbacks
(models=None)¶Disable callbacks on given models.
| Parameters: | models (seq[PlotObject], optional) – models to disable callbacks for (default: None) If models is None, disables callbacks on all models in this Document. |
|---|---|
| Returns: | None |
dump
(*models, **kw)¶Convert models to json objects.
| Parameters: |
|
|---|---|
| Returns: | json objects |
| Return type: | dict |
enable_callbacks
(models=None)¶Enable callbacks on given models.
| Parameters: | models (seq[PlotObject], optional) – models to enable callbacks for (default: None) If models is None, enables callbacks on all models in this Document. |
|---|---|
| Returns: | None |
execute_callback_queue
(models=None)¶Execute all queued callbacks on the given models.
| Parameters: | models (seq[PlotObject], optional) – models to execute callbacks for (default: None) If models is None, executes the callback queue on all models in this Document. |
|---|---|
| Returns: | None |
load
(*objs, **kwargs)¶Convert json objects to models and load them into this Document.
| Parameters: | *objs (str) – json object strings to convert |
|---|---|
| Keyword Arguments: | |
|
|
| Returns: | models loaded from json |
| Return type: | set[Plotobject] |
merge
(json_objs)¶Merge’s json objects from another document into this one using the plot context id from the json_objs which are passed in children from this document are merged with the children from the json that is passed in
| Parameters: | json_objs – json objects from session.pull() |
|---|---|
| Returns: | None |
prune
()¶Remove all models that are not in the plot context
bokeh.session
¶The session module provides the Session class, which encapsulates a connection to a Document that resides on a Bokeh server.
The Session class provides methods for creating, loading and storing documents and objects, as well as methods for user-authentication. These are useful when the server is run in multi-user mode.
Session
(name='http://localhost:5006/', root_url='http://localhost:5006/', userapikey='nokey', username='defaultuser', load_from_config=True, configdir=None)¶Encapsulate a connection to a document stored on a Bokeh Server.
| Parameters: |
|
|---|
base_url
¶str
configdir
¶str
configfile
¶str
http_session
¶requests.session
userapikey
¶str
userinfo
¶dict
username
¶str
browser_login
()¶Open a browser with a token that logs the user into a bokeh server.
Note
This is useful in multi-user mode.
| Returns: | None |
|---|
data_source
(name, data)¶Makes and uploads a server data source to the server.
Note
The server must be configured with a data directory.
| Parameters: |
|
|---|---|
| Returns: | a ServerDataSource |
execute
(method, url, headers=None, **kwargs)¶Execute an HTTP request using the current session.
Returns the response
| Parameters: |
|
|---|---|
| Keyword Arguments: | |
Any extra arguments to pass into the requests library |
|
| Returns: | response |
Returns the response
execute_json
(method, url, headers=None, **kwargs)¶same as execute, except ensure that json content-type is set in headers and interprets and returns the json response
find_doc
(name)¶Return the docid of the document with a title matching name
.
Note
Creates a new document with the given title if one is not found.
| Parameters: | name (string) – name for the document |
|---|---|
| Returns: | str |
| Return type: | docid |
get_api_key
(docid)¶Retrieve the document API key from the server.
| Parameters: | docid (string) – docid of the document to retrive API key for |
|---|---|
| Returns: | string |
| Return type: | apikey |
get_json
(url, headers=None, **kwargs)¶Return the result of an HTTP ‘get’.
| Parameters: |
|
|---|---|
| Keyword Arguments: | |
Any extra arguments to pass into the requests library |
|
| Returns: | JSON |
| Return type: | response |
load
()¶Loads the server configuration information from disk
| Returns: | None |
|---|
load_document
(doc)¶Loads data for the session and merge with the given document.
| Parameters: | doc (Document) – document to load data into |
|---|---|
| Returns: | None |
load_object
(obj, doc)¶Update an object in a document with data pulled from the server.
| Parameters: |
|
|---|---|
| Returns: | None |
login
(username, password)¶Log a user into a bokeh server.
Note
This is useful in multi-user mode.
| Parameters: |
|
|---|---|
| Returns: | None |
make_doc
(title)¶Makes a new document with the given title on the server
Note
user information is reloaded
| Returns: | None |
|---|
object_link
(obj)¶Return a URL to a server page that will render the given object.
| Parameters: | obj (PlotObject) – object to render |
|---|---|
| Returns: | URL string |
poll_document
(document, interval=0.5)¶Periodically ask the server for updates to the document.
post_json
(url, headers=None, **kwargs)¶Return the result of an HTTP ‘post’
| Parameters: |
|
|---|---|
| Keyword Arguments: | |
Any extra arguments to pass into the requests library |
|
| Returns: | JSON |
| Return type: | response |
pull
(typename=None, objid=None)¶Pull JSON objects from the server.
Returns a specific object if both typename
and objid
are
supplied. Otherwise, returns all objects for the currently configured
document.
This is a low-level function.
| Parameters: |
|
|---|
Note
you must supply either typename
AND objid
or omit both.
| Returns: | JSON |
|---|---|
| Return type: | attrs |
push
(*jsonobjs)¶Push JSON objects to the server.
This is a low-level function.
| Parameters: | *jsonobjs (JSON) – objects to push to the server |
|---|---|
| Returns: | None |
register
(username, password)¶Register a new user with a bokeh server.
Note
This is useful in multi-user mode.
| Parameters: |
|
|---|---|
| Returns: | None |
save
()¶Save the server configuration information to JSON
| Returns: | None |
|---|
show
(obj)¶Display an object as HTML in IPython using its display protocol.
| Parameters: | obj (PlotObject) – object to display |
|---|---|
| Returns: | None |
store_document
(doc, dirty_only=True)¶Store a document on the server.
Returns the models that were actually pushed.
| Parameters: |
|
|---|---|
| Returns: | list[PlotObject] |
| Return type: | models |
store_objects
(*objs, **kwargs)¶Store objects on the server
Returns the objects that were actually stored.
| Parameters: | *objs (PlotObject) – objects to store |
|---|
| Returns: | set[PlotObject] |
|---|---|
| Return type: | models |
use_doc
(name=None, docid=None)¶Configure the session to use a given document.
| Parameters: |
|
|---|
Note
only one of name
or docid
may be supplied.
Creates a document for with the given name if one is not present on the server.
| Returns: | None |
|---|
configdir
filename where our config are stored.
TestSession
(*args, **kwargs)¶Currently, register and login do not work, everything else should work in theory, but we’ll have to test this as we go along and convert tests


EBD - Easton Bible DIctionary
Effectual prayer
EFFECTUAL PRAYER
"EFFECTUAL PRAYER "occurs in Authorized Version,
James 5:16
. The Revised Version renders appropriately: “The supplication of a righteous man availeth much in its working”, i.e., “it moves the hand of Him who moves the world.”
"EFFECTUAL PRAYER "occurs in Authorized Version, James 5:16. The Revised Version renders appropriately: “The supplication of a righteous man availeth much in its working”, i.e., “it moves the hand of Him who moves the world.”


In R, the # symbol will 'comment out' everything that follows it on that line.
This allows you to make comments about your work and is SUPER IMPORTANT!
Code is hard to read at the best of times.
Make life easy for yourself and put spaces between code elements.
Object names require the following:
Be consistent in your naming convention, some example conventions are:
Image drawn from: http://r4ds.had.co.nz/introduction.html
R is crazy versatile, this means:
Everything that I present is just one way to approach the problem. There may very well be a more efficient way to do it.
For the time being - 'If it ain't broke, don't fix it'.
There is a package for almost everything.
There are currently 10,265 available packages (as of 10:25AM on 15th March 2017).
A full list of all available packages can be found at:
https://cran.r-project.org/web/packages/available_packages_by_date.html
install.packages()
command.
For instance, if we want to install the psych package, we would use the following code:
install.packages('psych')
This process only needs to be completed once, just like installing a program.
Note that the package name is encased in quotes. This is because the CRAN server requires character information in order to match the package request against available packages.
Installing packages can raise issues with administrator privileges.
The installation instructions have suggestions to circumvent this but if you are having issues please ask Vijay or Robert for help.
library()
function, e.g.:
library(psych)
Notice that here, there are no quotations.
This is because the package is now an object in you local R build.
headTail()
function which helps with viewing datasets.
headTail(mtcars) # mtcars is a built-in dataset. Use data() to list all available datasets.
# mpg cyl disp hp drat wt qsec vs am gear carb
#Mazda RX4 21 6 160 110 3.9 2.62 16.46 0 1 4 4
#Mazda RX4 Wag 21 6 160 110 3.9 2.88 17.02 0 1 4 4
#Datsun 710 22.8 4 108 93 3.85 2.32 18.61 1 1 4 1
#Hornet 4 Drive 21.4 6 258 110 3.08 3.21 19.44 1 0 3 1
#... ... ... ... ... ... ... ... ... ... ... ...
#Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#Maserati Bora 15 8 301 335 3.54 3.57 14.6 0 1 5 8
#Volvo 142E 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2
Be aware that packages sometimes use the same names for their functions and can 'mask' each other, e.g.:
library(dplyr)
#Attaching package: ‘dplyr’
#
#The following objects are masked from ‘package:stats’:
#
# filter, lag
#
#The following objects are masked from ‘package:base’:
#
# intersect, setdiff, setequal, union
#
If you have masked a function that you wish to call, you can tell R which function you wish to use.
To do this, we use the::
notation, e.g.:
library(dplyr)
#Attaching package: ‘dplyr’
#
#The following objects are masked from ‘package:stats’:
#
# filter, lag
#
#The following objects are masked from ‘package:base’:
#
# intersect, setdiff, setequal, union
#
filter(mtcars, cyl == 8) # Using the dplyr filter function
# mpg cyl disp hp drat wt qsec vs am gear carb
#1 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2
#2 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4
#3 16.4 8 275.8 180 3.07 4.070 17.40 0 0 3 3
#4 17.3 8 275.8 180 3.07 3.730 17.60 0 0 3 3
#5 15.2 8 275.8 180 3.07 3.780 18.00 0 0 3 3
#6 10.4 8 472.0 205 2.93 5.250 17.98 0 0 3 4
#7 10.4 8 460.0 215 3.00 5.424 17.82 0 0 3 4
#8 14.7 8 440.0 230 3.23 5.345 17.42 0 0 3 4
#9 15.5 8 318.0 150 2.76 3.520 16.87 0 0 3 2
#10 15.2 8 304.0 150 3.15 3.435 17.30 0 0 3 2
#11 13.3 8 350.0 245 3.73 3.840 15.41 0 0 3 4
#12 19.2 8 400.0 175 3.08 3.845 17.05 0 0 3 2
#13 15.8 8 351.0 264 4.22 3.170 14.50 0 1 5 4
#14 15.0 8 301.0 335 3.54 3.570 14.60 0 1 5 8
stats::filter( 1:100, rep( 1 , 3 )) # Using the stats filter function
#Time Series:
#Start = 1
#End = 100
#Frequency = 1
# [1] NA 6 9 12 15 18 21 24 27 30 33 36 39 42 45 48 51 54
# [19] 57 60 63 66 69 72 75 78 81 84 87 90 93 96 99 102 105 108
# [37] 111 114 117 120 123 126 129 132 135 138 141 144 147 150 153 156 159 162
# [55] 165 168 171 174 177 180 183 186 189 192 195 198 201 204 207 210 213 216
# [73] 219 222 225 228 231 234 237 240 243 246 249 252 255 258 261 264 267 270
# [91] 273 276 279 282 285 288 291 294 297 NA
A full script for installing, loading and using a package might look something like this:
install.packages( 'psych' )
library( psych )
headTail( mtcars )
# mpg cyl disp hp drat wt qsec vs am gear carb
#Mazda RX4 21 6 160 110 3.9 2.62 16.46 0 1 4 4
#Mazda RX4 Wag 21 6 160 110 3.9 2.88 17.02 0 1 4 4
#Datsun 710 22.8 4 108 93 3.85 2.32 18.61 1 1 4 1
#Hornet 4 Drive 21.4 6 258 110 3.08 3.21 19.44 1 0 3 1
#... ... ... ... ... ... ... ... ... ... ... ...
#Ford Pantera L 15.8 8 351 264 4.22 3.17 14.5 0 1 5 4
#Ferrari Dino 19.7 6 145 175 3.62 2.77 15.5 0 1 5 6
#Maserati Bora 15 8 301 335 3.54 3.57 14.6 0 1 5 8
#Volvo 142E 21.4 4 121 109 4.11 2.78 18.6 1 1 4 2
| What is it? | Install | Load | |
|---|---|---|---|
| psych | A package for personality, psychometric, and psychological research |
|
|
| dplyr | A fast, consistent tool for working with data frame like objects. |
|
|
| tidyr | Tool designed specifically for data tidying |
|
|
| Hmisc | Contains many functions useful for data analysis |
|
|
The first step of any data analysis is to load in the data.
R is very versatile and it is possible for it to handle most data types. However, the easiest (and preferred) data format to import into R is a text file.
In this course, we will be working with comma separated value (.csv) files.
If your data is in another format (e.g. .xlsx, .xls, .sav, etc.) it is often best to convert to .csv from within the associated program that created the file.
If conversion is not possible, some alternative import options are offered here.
A .csv file is simply a text file with a specific structure.
Every row in a .csv file represents a row of data with commas separating the columns on each row.
We have a mock .csv file about cats (available here). It looks like this:
#cat,age,weight,colour,loose.in.cat.room
#Pusheen,4,3.00,chocolate,no
#Millie,7,3.75,black,no
#Pumpkin,13,4.25,grey,no
#Prof. Jiggly,9,3.25,tortoiseshell,yes
If this was read into R, we would have a data file that looks like this:
# cat age weight colour loose.in.cat.room.
#1 Pusheen 4 3.00 chocolate no
#2 Millie 7 3.75 black no
#3 Pumpkin 13 4.25 grey no
#4 Prof. Jiggly 9 3.25 tortoiseshell yes
Although csv stands for comma separated values, the actual character that separates the columns can vary. For instance, tabs are also commonly used, e.g.:
#cat age weight colour loose in cat room?
#Pusheen 4 3.00 chocolate no
#Millie 7 3.75 black no
#Pumpkin 13 4.25 grey no
#Prof. Jiggly 9 3.25 tortoiseshell yes
This data would be represented in R in the same way as a comma separated file as long as we tell R what the separator is.
read.table()
, e.g.:
read.table( 'cats.csv' , sep = ',')
Note that the name of the file and the separator must be encased in quotes.
If the first row of our dataset contains the column headings, we need to let R know.
read.table( 'cats.csv' , sep = ',' , header = TRUE)
As with any data type in R, files that are read into R need to be assigned to an object.
cats_demo <- read.table( 'cats.csv' , sep = ',' , header = TRUE)
If the data being imported is not assigned to an object, the whole dataset will be printed to the command window. This is really annoying!
read.csv()
.
This function can be used without specifying the separator, provided that the data is comma separated.
cats_demo <- read.csv( 'cats.csv' , header = TRUE)
read.table()
or read.csv()
the data are stored as a data.frame
cats_demo <- read.csv( 'cats.csv' , header = TRUE )
class(cats_demo)
#[1] "data.frame"
data.frame
has 2 dimensions.
R uses square brackets to select elements of data objects.
For example, if we want to access the third element of a vector we would write the following:
my_vector <- c( 2 , 4 , 6 , 8 , 10)
my_vector[3]
#[1] 6
However, vectors only have 1 dimension and the data the we have imported has 2 dimensions.
Fortunately, the code for navigating 2-dimensional data is the same as that for 1-dimensional data.
[1,3]
R uses the first number as an index for the row and the second number as an index for the column. So, in this example we would be asking for the data element that is in row 1, column 3 of the dataset.
If we now return to our cat dataset, we can try selecting data in a 2D object. Our data look like this:
# cat age weight colour loose.in.cat.room.
#1 Pusheen 4 3.00 chocolate no
#2 Millie 7 3.75 black no
#3 Pumpkin 13 4.25 grey no
#4 Prof. Jiggly 9 3.25 tortoiseshell yes
If we wanted to know if Prof. Jiggly is loose in the cat room, we would need the information contained in row 3, column 5. This is coded as so:
cats_demo[4,5]
#[1] yes
#Levels: no yes
data.frame
can also be used to select whole rows or columns.
This is acheived by omitting the row or column number.
For example, if we want to know the weights of all our cats we would need column 3 and we would write the following:
cats_demo[,3]
#[1] 3.00 3.75 4.25 3.25
If we wanted to get all the information about Prof. Jiggly we would need row 4 and we would write the following:
cats_demo[4,]
# cat age weight colour loose.in.cat.room.
#4 Prof. Jiggly 9 3.25 tortoiseshell yes
data.frame
s have a feature which allows us to access a column by using its name.
$
operator.
cats_demo[,3]
) or we could use the following:
cats_demo$weight
#[1] 3.00 3.75 4.25 3.25
$
operator we can be more targeted in our selections.
There exists such a thing as tidy data and it takes the following form:
Image drawn from: http://r4ds.had.co.nz/tidy-data.html
This will not be the optimal structure for all data sets but it is certainly a good place to start.
Datasets come in a dizzying array of different formats and not all of them will be tidy.
Let's return to our cats to exemplify this. Here we have food consumption data for our cats over a 3-month period, with all values in grams. You can find this data here
cat_food
# Name food_type Jan Feb Mar
#1 Pusheen dry 2500 3000 2500
#2 Pusheen wet 3000 3000 2000
#3 Millie dry 1000 3000 2000
#4 Millie wet 4000 2000 3000
#5 Pumpkin dry 4000 5500 3500
#6 Pumpkin wet 2000 2500 3000
#7 Prof. Jiggly dry 5000 4500 4000
#8 Prof. Jiggly wet 0 1000 1500
Does this data adhere to the tidy data format?
First, let's group the months.
tidyr
that is useful here.
To do this, we will be using the gather()
function from this package.
library(tidyr)
cat_food <- read.csv( 'https://raw.githubusercontent.com/vj-sol/R-for-Arts-2/master/resources/cat-food.csv' , header = T )
tidy_cats <- gather( data = cat_food, Jan , Feb , Mar , key = Month, value = food_consumed )
tidy_cats
# Name food_type Month food_consumed
#1 Pusheen dry Jan 2500
#2 Pusheen wet Jan 3000
#3 Millie dry Jan 1000
#4 Millie wet Jan 4000
#5 Pumpkin dry Jan 4000
#6 Pumpkin wet Jan 2000
#7 Prof. Jiggly dry Jan 5000
#8 Prof. Jiggly wet Jan 0
#9 Pusheen dry Feb 3000
#10 Pusheen wet Feb 3000
#11 Millie dry Feb 3000
#12 Millie wet Feb 2000
#13 Pumpkin dry Feb 5500
#14 Pumpkin wet Feb 2500
#15 Prof. Jiggly dry Feb 4000
#16 Prof. Jiggly wet Feb 1000
#17 Pusheen dry Mar 2500
#18 Pusheen wet Mar 2000
#19 Millie dry Mar 2000
#20 Millie wet Mar 3000
#21 Pumpkin dry Mar 3500
#22 Pumpkin wet Mar 3000
#23 Prof. Jiggly dry Mar 4000
#24 Prof. Jiggly wet Mar 1500
spread()
function from this package.
Data is carried over from the previous slide.
library(tidyr)
tidy_cats <- spread( data = tidy_cats, key = food_type , value = food_consumed )
# Name Month dry wet
#1 Millie Feb 3000 2000
#2 Millie Jan 1000 4000
#3 Millie Mar 2000 3000
#4 Prof. Jiggly Feb 4000 1000
#5 Prof. Jiggly Jan 5000 0
#6 Prof. Jiggly Mar 4000 1500
#7 Pumpkin Feb 5500 2500
#8 Pumpkin Jan 4000 2000
#9 Pumpkin Mar 3500 3000
#10 Pusheen Feb 3000 3000
#11 Pusheen Jan 2500 3000
#12 Pusheen Mar 2500 2000
tidyr
package has a number of useful functions for tidying data.
Please do explore them for yourselves.
| Function | Purpose |
|---|---|
|
Turns a single character column into multiple columns. |
|
Turns multiple columns into one. |
|
Turns implicit missing values into explicit missing values. |
One should ALWAYS look at their data before analysing it.
However, this can prove difficult with large datasets.
complete.cases()
function.
complete.cases(tidy_cats)
#[1] TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
This checks the rows of a dataset for an observation in each column and is very easy to use with tidy data.
FALSE
value for the incomplete row, e.g.:
tidy_cats$Month[1] <- NA
tidy_cats
# Name Month dry wet
#1 Millie <NA> 3000 2000
#2 Millie Jan 1000 4000
#3 Millie Mar 2000 3000
#4 Prof. Jiggly Feb 4000 1000
#5 Prof. Jiggly Jan 5000 0
#6 Prof. Jiggly Mar 4000 1500
#7 Pumpkin Feb 5500 2500
#8 Pumpkin Jan 4000 2000
#9 Pumpkin Mar 3500 3000
#10 Pusheen Feb 3000 3000
#11 Pusheen Jan 2500 3000
#12 Pusheen Mar 2500 2000
complete.cases(tidy_cats)
#[1] FALSE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE TRUE
# Now let's put that data back
tidy_cats$Month[1] <- 'Feb'
R will default to telling you that something is unknown rather than assuming anything.
a <- 2
b <- NA
a + b
#[1] NA
Note how the output is not an integer, R is conservative and lets you know that you have missing data.
is.na()
function.
This will return a logical vector where a TRUE statement indicates an NA.
which()
function.
test <- 1:1000
test[56] <- NA
test
#[1] NA
which(is.na(test))
#[1] 56
There will often be times where you only want a specific subset of the data that you have.
For instance, in our cat data, we may only want the data that pertains to the month of March.
We can do this by employing some logical operators:
| Operator | Description |
|---|---|
| < | Less then |
| > | Greater than |
| <= | Less than or equal to |
| >= | Greater than or equal to |
| == | equivalent to |
| != | not equivalent to |
So, let's go ahead and subset our data into only those observations for March.
tidy_cats[ tidy_cats$Month == 'Mar', ]
# Name Month dry wet
#3 Millie Mar 2000 3000
#6 Prof. Jiggly Mar 4000 1500
#9 Pumpkin Mar 3500 3000
#12 Pusheen Mar 2500 2000
What if we wanted the data for all months except March?
tidy_cats[ tidy_cats$Month != 'Mar' , ]
# Name Month dry wet
#1 Millie Feb 3000 2000
#2 Millie Jan 1000 4000
#4 Prof. Jiggly Feb 4000 1000
#5 Prof. Jiggly Jan 5000 0
#7 Pumpkin Feb 5500 2500
#8 Pumpkin Jan 4000 2000
#10 Pusheen Feb 3000 3000
#11 Pusheen Jan 2500 3000
Now let's get the data for those cats that eat more than 2000 grams of wet food a month.
tidy_cats[ tidy_cats$wet > 2000 , ]
# Name Month dry wet
#2 Millie Jan 1000 4000
#3 Millie Mar 2000 3000
#7 Pumpkin Feb 5500 2500
#9 Pumpkin Mar 3500 3000
#10 Pusheen Feb 3000 3000
#11 Pusheen Jan 2500 3000
What about the data for those cats that eat no more than 1000 grams of dry food a month.
tidy_cats[ tidy_cats$dry <= 1000 , ]
# Name Month dry wet
#2 Millie Jan 1000 4000
There are a whole host of other methods for selecting data and I would encourage you to explore these options but those presented here should suffice for the beginner.
An additional function that you might like to look into is:
subset()
Here we will be dealing with a toy example using the names in out cat data but all examples can be extrapolated to larger datasets.
nchar()
function.
nchar(as.character(tidy_cats$Name[4]))
[1] 12
str_length()
function from the stringr package makes this easier:
library(stringr)
str_length(tidy_cats$Name[4])
[1] 12
The stringr package also allows us to access the individual characters in a character vector.
str_sub(tidy_cats$Name[4])
#[1] "Prof. Jiggly"
str_sub(tidy_cats$Name[4],1,5)
#[1] "Prof."
str_sub(tidy_cats$Name[4],1,-3)
#[1] "Prof. Jigg"
stringr also allows us to handle whitespace:
" Professor Jiggly is loose in the cat room! "
#[1] " Professor Jiggly is loose in the cat room! "
str_trim(" Professor Jiggly is loose in the cat room! ", side = 'both')
#[1] "Professor Jiggly is loose in the cat room!"
This function can come in very handy when standardising a data set.
| Function | Description |
|---|---|
| Gets number of characters in a string |
| Allows access to individual characters |
| Removes leading and trailing whitespace |
| returns the elements of a character vector that match a regular expression |
Descriptive statistics do what they say on the tin. They describe your data.
These statistics include things such as the mean, median, mode, range, interquartile range, standard deviation and standard error.
All of which are detailed in the Basic Statstics document for this course
Let's return to our cat data to calculate a mean.
RQ: What is the mean amount of dry cat food eaten across all cats and all months?
mean(tidy_cats$dry)
#[1] 3333.333
RQ: What is the median amount of dry cat food eaten across all cats and all months?
median(tidy_cats$dry)
#[1] 3250
RQ: What is the mode amount of dry cat food eaten across all cats and all months?
cats_dry_table <- table(tidy_cats$dry)
cats_dry_table
#1000 2000 2500 3000 3500 4000 5000 5500
# 1 1 2 2 1 3 1 1
cats_dry_mode <- cats_dry_table[ cats_dry_table == max( cats_dry_table ) ]
as.integer( names( cats_dry_mode ) )
#4000
RQ: What is the range in the amount of dry cat food eaten across all cats and all months?
max(tidy_cats$dry) - min(tidy_cats$dry)
#[1] 4500
RQ: What is the interquartile range for the amount of dry cat food eaten across all cats and all months?
IQR(tidy_cats$dry)
#[1] 1500
RQ: What is the standard deviation for the amount of dry cat food eaten across all cats and all months?
sd( tidy_cats$dry )
#[1] 1267.304
RQ: What are the descriptives for the tidy_cats dataset?
summary(tidy_cats)
# Name Month dry wet
#Millie :3 Length:12 Min. :1000 Min. : 0
#Prof. Jiggly:3 Class :character 1st Qu.:2500 1st Qu.:1875
#Pumpkin :3 Mode :character Median :3250 Median :2250
#Pusheen :3 Mean :3333 Mean :2250
# 3rd Qu.:4000 3rd Qu.:3000
# Max. :5500 Max. :4000
library(psych)
describe(tidy_cats)
# vars n mean sd median trimmed mad min max range skew
#Name* 1 12 2.50 1.17 2.5 2.5 1.48 1 4 3 0.00
#Month* 2 12 NaN NA NA NaN NA Inf -Inf -Inf NA
#dry 3 12 3333.33 1267.30 3250.0 3350.0 1111.95 1000 5500 4500 -0.03
#wet 4 12 2250.00 1076.61 2250.0 2300.0 1111.95 0 4000 4000 -0.45
# kurtosis se
#Name* -1.62 0.34
#Month* NA NA
#dry -0.93 365.84
#wet -0.58 310.79
#Warning messages:
#1: NAs introduced by coercion
#2: In FUN(newX[, i], ...) : no non-missing arguments to min; returning Inf
#3: In FUN(newX[, i], ...) :
# no non-missing arguments to max; returning -Inf
By this point I would be crying out for a visual representation of the data.
I apologise but that is the topic of next week's session.
However, I feel your pain!
Vist https://cran.r-project.org/web/packages/available_packages_by_date.html and search for a package that you might find useful. Once you have found a package, do the following:
data()
to see what is available.)alpha()
function from the psych package?install.packages()
command in a script that you were sharing? Why?read.table()
command. What additional functionality does it have?read.table()
read.csv()
data.frame
?my_vect <- c(23 , 49 , 567 , 32 , 90)
predict what the result of the following code will be without running it:
my_vect[4]
my_vect[-2]
my_vect[6]
my_Vect[2]
my_vect[4,]
read.table()
, do the following:
# whiskers tail.length cat1 cat2 cat3
# 5 12 Toby NA NA
# 9 15 NA Cleo NA
# 7 10 NA NA Sir Snuffles
colnames()
function).# name feature length
# Toby whiskers 5
# Toby tail.length 12
# Cleo whiskers 9
# Cleo tail.length 15
# Sir Snuffles whiskers 7
# Sir Snuffles tail.length 10
data.frame
This data (found here) is taken from the FBI's National Instant Criminal Background Check System and concerns firearm background check data from Nov. 1998 - Feb. 2017.
The data was collated and put into a database form by BuzzFeed News.
permit_recheck
s were performed in Texas across the whole period of this dataset?Here we will continue using the FBI data regarding firearm background checks.
Using that data, find out the following information:private_sale_long_gun
sprivate_sale_long_gun
s in the state of Wyomingprivate_sale_long_gun
s in the state of Wyoming in March 2016private_sale_handgun
s in the state of Alabama
IQR()
function.This project is designed to mimic the process of wrangling with your own data. It uses actual data from the European Union Open Data Portal and concerns the numbers of accidents at work across the EU from 2008 to 2014 by days lost, sex and age.
Naturally, the first step is to acquire the data, it can be found here, save it as a .csv file in a sensible directory.
Reference information for this data can be found here
See the next slide for further details...
describeBy()
function from the psych package to summarise the data by age
describeBy()
to summarise the data by country
The data for this project were published by Leeds City Council and can be found here
Have a look at the data and form your own hypotheses.
Before analysing the data, design an anlysis pipeline that will provide you with answers to your hypotheses.


krangl
krangl
is a {K}otlin library for data w{rangl}ing. By implementing a grammar of data manipulation using a modern functional-style API, it allows to filter, transform, aggregate and reshape tabular data.
For details see https://github.com/holgerbrandl/krangl
Features
- Filter, transform, aggregate and reshape tabular data
- Modern, user-friendly and easy-to-learn data-science API
- Reads from plain and compressed tsv, csv, or any delimited format with or without header from local or remote
- Supports grouped operations
- Ships with JDBC support
- Tables can contain atomic columns (int, double, boolean) as well as object columns
- Reshape tables from wide to long and back
- Table joins (left, right, semi, inner, outer)
- Cross tabulation
- Descriptive statistics (mean, min, max, median, ...)
- Functional API inspired by dplyr, pandas, and Kotlin stdlib
Packages
|
|
Contains all parts of the krangl API
|
|
|
|
|
|
|
Index
All Types


| cmdbuild |
vim: ts=2 tabstop=2 shiftwidth=2 expandtab |
| cmdbuild.attachment |
Attachment:upload
It uploads the specified file in the DMS Alfresco and the relating connection
to the Attachment card belonging to the “className” class and having the “id” identification. |
| cmdbuild.card |
get
list mts: getCard, getCardList, getCardHistory and etc. |
| cmdbuild.lookup |
List methods: list, by_id, translation_by_id |
| cmdbuild.relation |
Relation:getRelationList
It returns the complete list of relations of the card specified for the specified domain. |
| cmdbuild.workflow |
Workflow:start
It starts a new instance of the workflow described in the specified "Card". |


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MacJams.com - Article: Review: "Pro Pack" 9 Gig Apple Loops ...
Review: "Pro Pack" 9 Gig Apple Loops Collection from Zero-G . The Zero-G loop library includes some of the best-played, best-recorded samples I've heard.
http://www.macjams.com/article.php?story=20041209095122656
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AMG's Procreate range of Apple Loops for Logic & GarageBand
The definitive percussion library from two of the UK's best. Contents The lengendary percussion library finally available in Apple Loops format! Hundreds of .
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Adding Apple Loops to the Loop Browser
Select the Apple Loops in the folder and drag them into the Loop Browser. The loops are added to the Apple Loops library and indexed. When this process is .
http://help.apple.com/logicpro/mac/9.1.6/en/logicpro/usermanual/chapter_30_section_3.html
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Logic Pro Help View topic - Editing Apple Loops
Simon: Posts: 69: Joined: Thu Apr 20, 2006 4:19 pm. Top . I've created my own Apple Loop with the ALU feature. It plays perfectly in the Arrange . Under the local Region menu choose "Add to Apple Loops Library." Mac Mini .
http://www.logicprohelp.com/forum/viewtopic.php?t=6895
Loop File Formats : Recording Magazine
Virtually every DAW application either features loop file support or offers a . of loop files, including AIFF and WAV files, REX files, ACID files and now Apple Loops. . Many people consider the REX file format to be the best option for drum and . file formats and make informed decisions about your loop library purchases.
http://www.recordingmag.com/resources/resourceDetail/323.html
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Creating Apple Loops in Logic Pro
This function works best if your audio files match the project tempo as precisely as possible. . In the Add Region to Apple Loops Library dialog that appears: .
http://help.apple.com/logicpro/mac/9.1.6/en/logicpro/usermanual/chapter_30_section_1.html
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Complete RnB - Apple Loops Library - Apple Loops construction kits ...
Complete RnB - Apple Loops Library. Apple Loops construction kits from Big Fish Audio's top R&B producers. Apple Loops. $ 49.95. Apple Loops. $ 49.95 .
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Zero-G download: PRO PACK (Apple Loops Compilation)
This is one of the world's largest professional APPLE LOOP libraries. . To create PRO PACK we hand-picked many of the best loops and samples from 43 (yes, .
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Apple Loops, Garageband Samples, Logic Samples, Aiff Sounds ...
Many more applications are now compatible with Apple Loops and at Loopmasters we . Insane Complex Electro is one of the best sample packs available to date . of a sound library: For the latest addition to our Artist Edition, Prime Loops is .
http://www.loopmasters.com/format/show/11
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Apple Loops Shop - Samples-Now.com
Samples-Now.com the World's best Apple Loops for instant .
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Best Apple Loops Store - MVP Loops
Products 1 - 20 of 425 . MVP Loops for the best Apple Loops with Apple Garageband Loops . these loops are a nice addition to the Dubstep producer's library.
http://www.mvploops.com/loops/apple-loops/
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Equinox Sounds: Download royalty free loops in ACID/WAV, Apple ...
We are developers of performance loop/phrase sound libraries and royalty free music . skilled musicians and producers and delivering their best performances.
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How do I edit loop names for the Apple loop library? - Super User
How do I edit loop names for the Apple loop library? . 1. I want to use more memorable names for loops that I have added to my Apple loop library, how can I do this? . What is the best way to manage a very large music library under Linux ?
http://superuser.com/questions/391516/how-do-i-edit-loop-names-for-the-apple-loop-library
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Finding Apple Loops in the Loop Browser
The Loop Browser only displays Apple Loops format files. . key to the project tempo and key, thus ensuring the best possible playback quality. . to display all Apple Loops in the /Library/Audio/Apple Loops/User Loops/Single Files folders.
http://help.apple.com/logicpro/mac/9.1.6/en/logicpro/usermanual/chapter_11_section_3.html
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How to Create and Organize Your Own Apple Loops
Dec 7, 2009 . Of course all the Apple loops in our library already have this info . To start editing your loop hit the 'Transients' tab at the top of the utility .
http://audio.tutsplus.com/tutorials/production/how-to-create-and-organize-your-own-apple-loops/
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want to delete all apple loops?
what the easiest way to locate the apple loops files and delete them? thx . Macintosh HD>Library>Audio>Apple Loops>Apple> and you may .
http://www.lafcpug.org/phorum/read.php?8,255791,255834
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Drum Loops | ACID | Apple | REX2 | Samples | MIDI Drum | Smart ...
November 14, 2012. Download the New Smart Loops SL MultiTracks 6/8 Medium Light Rock 2 drum loop library in ACID WAV and Apple Loops formats.
http://www.smartloops.com/
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Download 100 Free Apple Loops » Synthtopia
Feb 18, 2011 . Here's a collection of 100 free Apple Loops, Analog Rocker Apple Loops, from . Clicking the Buy button takes you to the Puremagnetik site, where you can check out their loop libraries. . Top Commenters (Last 30 Days) .
http://www.synthtopia.com/content/2011/02/18/download-100-free-apple-loops/
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Loops and Samples Download | Wav | Rex | Apple Loops | Free ...
Loops and Samples Download | Wav | Rex | Apple Loops | Free Sounds . sees the highly anticipated follow up to their best-selling Sylenth1 Ultimate Producer .
http://www.soundstosample.com/
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Apple loops library - TheFind
Apple loops library - Find the largest selection of apple loops library on sale. Shop by price, color, locally and more. Get the best sales, coupons, and deals at .
http://instruments.thefind.com/instruments/browse-apple-loops-library
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Apple Loops at rekkerd.org
Note: Use the search form in the top right if you're looking for something specific. . Related: Apple Loops, Audio Hawaii, loops, samples and sound libraries, Tiki .
http://rekkerd.org/tag/apple-loops/
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Creating Apple Loops in Logic Express
This function works best if your audio files match the project tempo as precisely as possible. . In the Add Region to Apple Loops Library dialog that appears: .
http://documentation.apple.com/en/logicexpress/usermanual/chapter_30_section_1.html
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How to import Apple Loops into Garageband
Top Tip 2. GarageBand 1 installs its loop content in: /Library/Application Support/ GarageBand/Apple Loops/ GarageBand 2 and later and Logic Pro/Express 7.1 .
http://www.platinumloops.com/how_to_import_apple_loops_into_garageband.shtml
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Create browseable non-Apple loops in GarageBand - Mac OS X Hints
There is a way, however, by using Apple's free Loop Utility available for . The best way to import the files if you have a lot is to do what you would do . folder for your "other" loops and place them in the following path Library .
http://hints.macworld.com/article.php?story=20040129034742925
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Apple Loops Utility 3 User Manual - Help Library - Apple
the file's tempo and key to the project tempo and keyfor the best possible playback quality. . Apple Loops Utility can read both AIFF and WAV file formats.
http://documentation.apple.com/en/appleloopsutility/usermanual/Apple%20Loops%20Utility%203%20User%20Manual%20(en).pdf
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ZEROGcs - Pro Pack for GarageBand
The world's largest professional APPLE LOOP library. . acclaimed suppliers to the pro audio industry for 15 years, and these samples are among our very best!
http://www.zero-g.co.uk/index.cfm?articleid=850
Where does GarageBand put its downloaded instruments and loop ...
Mar 17, 2012 . The loops for GarageBand are stored in ~/Library/Audio/Apple Loops/, and my installation is 629.9MB. However I do not believe that I have .
http://apple.stackexchange.com/questions/44141/where-does-garageband-put-its-downloaded-instruments-and-loop-libraries
Apple Loops - Beta Monkey Music
Apple Drum Loops for Garageband and Logic. Rock, metal, jazz . Beta Monkey Music offers ALL of our popular releases in Apple Loops (AIFF) format to energize your drum loops library. . Meet Your Best Friend... the Apple Loops Utility!
http://www.betamonkeymusic.com/Apple_Loops.html
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