R Studio has many basic functions that are coming with it. r studio at the same time is designed to be flexibly extended with new functions. This is done with so-called package. on this website we will install repeatedly.
Packages can be installed in R Studio with the following command. Installed packages remain permanently in your R Studio software.
install.packages(“name”)
After installation, packages must be activated. For each script written, the corresponding packages must be turned on. This is done by the “library” command, which looks like this:
library(“name”)
It is recommended to activate all required packages at the beginning of the script. This could look like this:
library(“ggplot”)
library(“lme4”)
library(“ggmap”)
How a package works or can be used in detail always depends on the package itself. The statistical software R has a large and lively community that is always developing new and very useful new features.
Help function
As a rule, each package contains a user manual in the form of a help function. To call this up, it is simply required to enter:
help(function)
or this command
?function
Of course, certain information can alternatively be found via a search engine on the Internet. Dealing with the help function is much faster.
Useful R packages
- ggplot2 (drawing)
- plotly (more plots)
- reeinstallr (keeps packages updated)
- data.table (tables)
The most popular R packages:
- Rcpp Seamless R and C++ Integration
- ggplot2 An Implementation of the Grammar of Graphics
- stringr Simple, Consistent Wrappers for Common String Operations.
- plyr Tools for Splitting, Applying and Combining Data
- digest Create Cryptographic Hash Digests of R Objects
- reshape2 Flexibly Reshape Data: A Reboot of the Reshape Package
- colorspace Color Space Manipulation
- RColorBrewer ColorBrewer Palettes
- manipulate Interactive Plots for RStudio.
- scales Scale Functions for Visualization
- labeling Axis Labeling
- proto Prototype object-based programming.
- munsell Munsell colour system.
- gtable Arrange grobs in tables
- dichromat Color Schemes for Dichromats
- mime Map Filenames to MIME Types.
- RCurl General network client interface for R
- bitops Bitwise Operations
- zoo S3 Infrastructure for Regular and Irregular Time Series
- knitr A General-Purpose Package for Dynamic Report Generation in R.
An overview of useful R packages can be found here
For Data Science in particular:
