What are the R packages you used most in your previous projects
The packages that any project typically works with are based on the nature of the project. For example, a biotech company uses packages like bioconductor, CROME etc. A stock analytics company might use packages like quantmod, stocks etc.
In general however, there are packages that every project uses ( more or less ). Here is a quick listing ( of course not exhaustive ).
- Data Import
- readxl ( import excel files into R )
- readr ( import csv and other file formats into R )
- Data Preparation
- dplyr ( Easy to use functions for data manipulation )
- tidyr ( To tidy up data )
- data.table ( Large data sets )
- sqldf ( Run SQL queries on data frames/tables )
- Data Visualization ( EDA )
- ggplot2 ( Core Grammar of Graphics package from Hadley Wickham )
- lattice ( Data visualization )
- ggvis ( Interactive graphics, something ggplot can’t do )
- plot.ly (Interactive graphics )
- shiny ( HTML markdown in R )
- Data Modeling ( Machine Learning )
- caret ( Modelling for Classification and regression problems )
- car
- e1071
- RandomForest
- rpart ( Partition data )
- nnet ( Single Layer Neural Network )