Tag Archives: r code

R Code Development, R Tutorials

R Video Tutorial: Basic R Code to Load a Data File and Produce a Histogram

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R For Beginners:  Some Simple R Code to Load a Data File and Produce a Histogram

A tutorial by D. M. Wiig

I have found that a good method for learning how to write R code is to examine complete code segments written to perform specific tasks and to modify these procedures to fit your specific needs. Trying to master R code in the abstract by reading a book or manual can be informative but is more often confusing.  Observing what various code segments do by observing the results allows you to learn with hands-on additions and modifications as needed for your purposes.

In this document I have included a short video tutorial that discusses  loading a dataset from the R library, examining the contents of the dataset and selecting one of the variables to examine using a basic histogram.  I have included an annotated code chunk of the procedures discussed in the video.

The video appears below with the code segment following.

Here is the annotated code used in the video:

###################################
#use the dataset mtcars from the ‘datasets’ package
#select the variable mpg to do a histogram
#show a frequency distribution of the scores
##########################################
#library is ‘datasets’
#########################################
library(“datasets”)
#########################################
#take a look at what is in ‘datasets’
#########################################
library(help=”datasets”)
#######################################
#take a look at the ‘mtcars’ data
#########################################
View(mtcars)
#######################################
#now do a basic histogram with the hist function
###########################################
hist(mtcars$mpg)
#############################################
#dress up the graph; not covered in the video but easy to do
############################################
hist(mtcars$mpg, col=”red”, xlab = “Miles per Gallon”, main = “Basic Histogram Using ‘mtcars’ Data”)
###################################################

 

R Tutorials

R For Beginners: A Video Tutorial on Installing and Using the Deducer Statistics Package

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R For Beginners:  A Video Tutorial on Installing and Using the Deducer Statistics Package with the R Console

In previous tutorials I have discussed the use of R Commander and Deducer statistical packages that provide a menu based GUI for R.  In this video tutorial I will discuss downloading and installing the Deducer statistics package.  This video is designed to support my previous tutorial on the same subject.

I have embedded the video below,   I hope you find this tutorial  a useful adjunct to installing and using the menu based Deducer package.

This document is an embedded Word document.  To view it full screen click on the icon in the lower right corner of the screen

 

R Code Development, R Tutorials

R For Beginners: Installing the JGR GUI On a Linux Platform

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A Tutorial by D. M. Wiig

This is an embedded Word document.  To view it full screen click on the icon in the lower right cornet of the document.

Watch for more tutorials discussing  R statistics on a Linux platform.

R Tutorials

R For Beginners: Installing the latest version of R on a Linux platform

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R for Beginners:  Installing the latest version of R on a Linux platform

A tutorial by D. M. Wiig

One of the nice characteristics of open source software such as R is the rapid development of new releases and updates.  While the base core remains stable for a period of time there is a considerable amount of updating,  adding, and removing the component packages.  At the time of this writing the latest iteration is R version 3.3.1, “Bug in Your Hair.” If you are using a Windows platform you will likely go directly to the archive web site and download the latest distribution as a Windows executable installation package.

If you are using a Linux distribution  such as Ubuntu or Debian, the process of adding software is usually accomplished via the menu based installer.  These software installers allow  R and its dependencies to be downloaded from the community archive.

One of the disadvantages of using this approach is that the versions of some software in the archives may not be updated to the latest version.  This is often the case with R.

To insure that you are downloading the latest R version you need to use the platform’s command line to install what is needed.  Regradless of which Linux distribution you are using first open a command console from the desktop menu. Make sure all is up to date by using the command:

pi@raspberrypi:~ $ sudo apt-get update
This will insure all appropriate packages currently installed are running the latest updates.  If you are running a Debian distribution such as jessie you will need to edit the /etc/apt/sources.list file to add a backport to the latest version of R.  Use the nano editor by using the command:

sudo nano /etc/apt/sources.list

This should produce the output as seen below:

pi@raspberrypi:~ $ sudo nano /etc/apt/sources.list

------------------------------------------------
GNU nano 2.2.6 File: /etc/apt/sources.list

deb http://mirrordirector.raspbian.org/raspbian/ jessie main contrib non-free r$
# Uncomment line below then 'apt-get update' to enable 'apt-get source'
deb-src http://archive.raspbian.org/raspbian/ jessie main contrib non-free rpi
deb http://archive.raspbian.org/raspbian/ stretch main
deb http://mirror.las.iastate.edu/CRAN/bin/linux/debian/ jessie main
deb http://mirror.las.iastate.edu/CRAN/bin/linux/ubuntu xenial/

[ Read 8 lines ]
^G Get Help ^O WriteOut ^R Read File ^Y Prev Page ^K Cut Text ^C Cur Pos
^X Exit ^J Justify ^W Where Is ^V Next Page ^U UnCut Text^T To Spell

If you are using a Debian distribution you would add the line to the file

http://mirror.las.iastate.edu/CRAN/bin/linux/debian/ jessie main

Replace the mirror portion with <URL of your favorite CRAN mirror>.  Replace the 'jessie' portion with the name of the specific Debian distribution you are using.

If you are using an Ubuntu distribution add a line with the appropriate changes for the specific Ubuntu distribution that you are using.

Once these changes are made exit the nano editor using the ^O key command to write the file and then the ^X key command to return to the command line.  You should now be able to issue the command:

pi@raspberrypi:~ $ sudo apt-get install r-base r-base-core r-base-dev

Once the download and install processes have completed you should now be able to invoke R from the command line or menu and see the latest version:

pi@raspberrypi:~ $ R

R version 3.3.2 RC (2016-10-23 r71578) -- "Sincere Pumpkin Patch"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: arm-unknown-linux-gnueabihf (32-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

 Natural language support but running in an English locale

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> 


For other Linux distributions you would add a line similar to the above examples in the /etc/apt/sources.list. Check the documentation for your specific Linux platform for further information.

 

R Code Development, R Tutorials

R Video Tutorial For Beginners: Installing And Using the Rcommander GUI

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R Video Tutorial For Beginners: Installing And Using the Rcommander GUI

A tutorial video by D. M. Wiig

In my recent series of tutorials for those interested in the R statistical programming language I have discussed both the installation and use of the R console and R Commander statistics GUI.  Before viewing the tutorial make sure the R Commander package has been download into your R library via the Install Packages menu option.  This procedure was discussed in the previously posted R Commander tutorial.

Relative to this first tutorial I have have created a video that covers the initial installation of R Commander.  The video is seen below:

Click the icon in the lower right side of the screen to view the tutorial in full screen mode.

I hope that you find this useful in your pursuit of learning about  R statistics.

R Code Development, R Tutorials

R for Beginners: Using R Commander in an Introductory Statistics Course

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R for beginners:  Using R Commander in introductory statistics courses

A tutorial by D. M. Wiig

As with previous tutorials in this series this document is an embedded Word documents.  To view the document full screen click on the icon in the lower right corner of the window.

R Code Development, R Tutorials

R for Beginners: Using R Commander, Graphing and Correlation

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A tutorial by Douglas M. Wiig

Please note that this post is an embedded Word document. To read the document full screen click on the icon in the lower right portion of the document window.

R Code Development, R Tutorials

R for Beginners: Installing and Using the R Commander GUI, Part One

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A tutorial by D.M. Wiig

This tutorial is posted as an embedded Word document.  To view the document full screen click on the button in the lower right corner of the window. Please note that you must be online for the full page Word document display to work.

R Code Development, R Tutorials

R For Beginners: Installing and Using the R Console in a Windows Environment

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An R tutorial by D. M. Wiig

This tutorial is posted as an embedded Word document. To view the document full screen click on the icon in the lower-right corner of the document window.

My next post covering installing and using the Rcommander GUI will be out in a day or two.

R Code Development, R Tutorials

R-Fiddle R Console and Data Editor: R Collaboration in the Cloud

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R-Fiddle is a great tool to develop and test  code segments or complete R programs.   By accessing the R-Fiddle web site users have a fully functioning R console,  code editor and discussion board all in one place.  If a user has code uploaded that has been designated to share,  other users can access the code and make suggestions or additions.  Code can be run with full R support from your web browser.

Try the link below to test out R-Fiddle.  I have uploaded a small program as a demo.  Feel free to share your own projects,  help others or try out code segments.

http://www.r-fiddle.org/#/embed?id=rtOt8yR3

Click in the link above to activate the R editor and R console.