Download JASP Entirely for free, no strings attached. Windows Windows 64bit Windows 32bit The pre-installed 64-bit or 32-bit version can be used if the msi fails. Please note that JASP0.14 is not available for Windows 7. MacOS Catalina Mojave Continue reading →. The R Project for Statistical Computing This program is a comprehensive set of interactive software for statistical computing and science. Builtin language is oriented programming object in front ends to several available interfaces, manuals, help pages full 2D and 3D rnews online newsletter, books and other publications, regular conferences.
InfoStat is general-purpose software for statistical analysis for Windows. It covers all the basic needs for descriptive statistical analysis and the production of graphs for the exploratory analysis. It also has advanced statistical methods for statistical modeling and multivariate analysis. One of its strengths is its simple interface combined with professional capabilities for statistical computing and data management. Because of its origin in a university, the program has many facilities for the teaching statistics that are not easy to find in other similar programs. A property, that is almost unique among statistical software, is its capability to connect toR. This connection happens in two different ways: through the interpreter which can run R scripts without leaving the InfoStat working environment and trough the implemented menu-driven procedures which make use of the R's calculation engine. This is the case of the implementation of the mixed linear models in InfoStat. These models have always been difficult to specify because of their complexity, but with the InfoStat user's interface we achieved to incorporate their contents into postgraduate courses and technical training to professional that otherwise would have been impossible to achieve.IMPORTANT. TO ACTIVATE INFOSTAT, ONCE INSTALLED, RUN IT AS ADMINISTRATOR (RIGHT CLICK ON THE INFOSTAT ICON AND FIND THE OPTION IN THE POPUP MENU)
What is R?
According to their site The R - Project for Statistical Computing:
'R is a language and environment for statistical computing and graphics.'
'R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.'
'One of R's strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.'
Obtaining a copy of the R applications
R is free software - see the R site above for the terms of use. It runs on a wide variety of platforms including UNIX, Windows and MacOS.
Download a copy of the most recent version of this application from their site: The R - Project for Statistical Computing
R Download Mac
The website will require you to choose a 'CRAN Mirror'. The idea is to find the location geographically closest to you.
Launching R Programs
In R you can enter each line of code at the prompt in a step-by-step approach. You may also save R programs as simple text files to open in a separate window so that you can enter multiple lines of code at once and save your commands.
Here is an example data set you may save on your computer:
Here is an example program:
The # symbol indicates a programmer's comment. This text is not read by the R application. This program can either be copied and pasted into the R command line, line by line or as an entire program. You may also source this program from where it is saved on your computer as shown below.
It is often useful to set a working directory so that file names without a pathname will refer to files in that directory on your system. The command
getwd()
will print your working directory to your screen. The command setwd('/pathname')
sets the R working directory.- On a Mac, your pathname is shown at the bottom of your Finder window,
(/Users/Username/Documents/... for example)
. - In Windows, the pathname is
C:/Users/Username/Documents/...
.
One nice feature of the step-by-step command lines in R is that you may scroll through previous commands using the Up and Down arrow keys. Here are a couple of other handy commands that you can use in R:
Here are the data files and programs to practice the above commands:
example1.dat, example2.txt, intro.R, intro_file.R
Data
Depending on the course, datasets are either presented within the context of the lesson or within a datasets folder. Common file extensions for data files include .dat, .csv, and .txt. You must download the data from your course website. Canvas provides instructions on how to save a file for Windows users or Mac users. A Save dialog box will be displayed and allow you to save the data file to the location you choose on your computer.
There are a number of ways to read data into your R session. Two popular commands used in the examples presented here are
read.table
and scan
.Install a Development Environment
The development environment is the application that you will use to open, edit, and execute R programs. If you already have a favorite development environment, you can see if it’s compatible with R (many of them are). If you don’t, we recommend one called RStudio.
Installing RStudio
- You need to have R installed first (see above)
- Download RStudio from the RStudio Website.
- Select the installer link that corresponds to your operating system (e.g. Windows, Mac OSX).
Help
If you need help understanding a command or its syntax type either
?command
, or help(command)
and R will display the help available on this topic. For instance, here is the help page for read.table from the command ?read.table
:Note: Certain functions in R may NOT run on all platfroms (e.g., Windows, MAC, Linux, etc..) the same way. For example, you may get an error with the sink() function on your PC depending how the read/write permissions are set up. It should not be a problem using it on Linux or a MAC, or if you run your R programs in a Terminal. In the Windows version of R, you can delete or comment-out the sink() function, and save your output by clicking on File/Save to file. You can also explore other options/functions such as file() , capture.output() , etc... You can also copy and paste your output from the R console window into a seperate file.
Helpful Resources
R Statistics software, free download
The Department of Statistics offers two 1 credit online courses, STAT 484: Topics in R: Statistical Language and STAT 485 - Intermediate Topics in R Statistical Language. This would be a good step towards building a solid foundation in using R. In addition, you may also find the following references handy:
Free Statistical Software Download
- The R Project Homepage.
- DataCamp offers a free Introduction to R course and many additional courses with a subscription.
- LinkedIn Learning at PSU includescourses on R.
- R Seek helps you find the R function you require.
- R Tutorial - web site at Clarkson University Department of Mathematics.
- Swirl: Learn R, in R.