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README.md
The R Project for Statistical Computing
R is an open source programming language. It has become one of the powerful choices for statistical analysis. R helps you to get big picture of your data by calculating statistical parameters like mean, standard deviation, correlation etc.
LabInstance R
Quickstart
This is a quickstart guide of howto use this LabInstance
HowTo use it
-
On step "1. Select Git Repo" see here choose "examples-r"
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On step "2. Select swarm service" choose "ondemand_r_master"
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On step "3. Save Lab Instance" put the name you want
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Save it.
Your are ready to run your fresh LabInstance see here
Default Configuration
- Working Directory
/root
- Default user
root
- Buid-in Web Server
/var/www/html/[Lab_Instance Name]
INFO
Lab_Instance Name = The name you give here
You can also find here
Usage: See examples/PieChart.R
e.g. png(file = "/var/www/html/examples_r/piechart.png")
- install R packages
Here is a simple code to install all the necessary R packages to keep you up and running. The script will check whether the required packages have been installed, if not, it will install them accordingly.
install <- function(packages){
new.packages <- packages[!(packages %in% installed.packages()[, "Package"])]
if (length(new.packages))
install.packages(new.packages, dependencies = TRUE)
sapply(packages, require, character.only = TRUE)
}
required.packages <- c("package1", "package2" )
install(required.packages)
MORE INFO