R programming language is used in data manipulation, calculation, and data visualization. It is widely used by the statistician, data scientist, and academics. R is free and easy to learn scripting language.
The packages are the main power sources of the R platform. You can find the latest algorithms, function, and models by downloading the packages. A single command or a function might be enough to build a complex model in R by using built in packages. If you are in the area of data science, I highly recommend to learn this language and apply it for your projects.
R Resources
There are many references and tutorials about the R. Find the appropriate resources for your level and start practicing it. You can also find a lot of useful information regarding the data analysis with R on this blog.
Installing R and RStudio
R and RStudio are available for users of Linux, Windows, and Mac. To download R go to https://cran.r-project.org/ and install it according to instructions on that page. You may refer manuals to learn more about R.
RStudio is an IDE to write, debug and run R scripts. I highly recommend to use it.
Go to https://www.rstudio.com/ and download RStudio
After installation of RStudio, you can run the 'version' command to check the installed R version.
> version
platform x86_64-w64-mingw32
arch x86_64
os mingw32
system x86_64, mingw32
status
major 3
minor 4.2
year 2017
month 09
day 28
svn rev 73368
language R
version.string R version 3.4.2 (2017-09-28)
nickname Short Summer
To install the package you can run the command below. He we install 'caret' package.
> install.packages("carer")
To show a help page about the 'caret' package run the command below.
> ??caret
The installed packages can be seen by the command of
> installed.packages()
R Resources
There are many references and tutorials about the R. Find the appropriate resources for your level and start practicing it. You can also find a lot of useful information regarding the data analysis with R on this blog.
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