Download the complete list of powerful R Libraries for Data Analysis

r
dataanalysis

#1

Complete List of Powerful R Libraries for Data Analysis

Hey There!

There are numerous libraries in R which remain unnoticed but prove to be very powerful if brought to use. Here is a complete list of all the R Libraries categorized according to various stages of modeling process.

The complete modeling process is divided into three stages: Pre-Modeling, Modeling and Post-Modeling. This guide features a comprehensive list of the libraries used at these stages.

Note: This list was originally contributed by Sri Krishna (Our apprentice)

R libraries.pdf (731.4 KB)

You need to login in order to download the list


#6

Thanks @kunal I am able to download


#11

Very Nice Article :smiley:


#12

Worked now , Thanks!


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#17

Thank you so much for sharing the document. Its very helpful .


#20

I’m finding that the download is working, after login but the page does not refresh to remove the “You need to login in order to download the list”. Check your downloads folder…


#21

It works now. Thanks a lot!


#22

A very interesting document, great job!!

Perhaps, the MICE package could be included in “MISSING VALUE IMPUTATION” section.


#23

very thanks! this document help me too much


#24

Thanks @kunal. Very nice to have the complete list of all needed packages.


#25

very useful for beginners in R. Thanks very much


#26

Thanks for such a nice package. i found it very useful.


#27

nice going. this deserves to be on both Github and Twitter. Please use #rstats and not #r when posting on Twitter for R related stuff


#28

#29

The page didn’t refresh. Still asking me to login before I download, even though I’m already logged in


#30

Thanks for sharing this!


#31

Very useful file. Thanks


#32

Run this code to install all the packages in R. Now the code consists of only the libraries in the image. Will copy the other library soon.

##This will detect and install missing packages before loading them - hopefully! :smile:

list.of.packages <- c("dplyr", "plyr", "data.table", "MissForest", "MissMDA",
                    "Outliers", "EVIR", "Features", "RRF", "FactorMiner", "CCP",
                    "ggplot2", "googkleVis", "Rcharts", "car", "randomforest",
                    "Rminer", "CoreLearn", "caret", "BigRF", "CBA", 
                    "RankCluster", "forecat", "LTSA", "survival", "Basta",
                    "LSMean", "Comparison", "RegTest", "ACD", "BinomTools", 
                    "DAIM", "ClustEval", "SigClust", "PROC", "TimeROC", "Rcpp",
                    "parallel", "xml", "httr", "rjson", "jasonlite", "shiny",
                    "Rmarkdown", "tm", "OpenNLP", "sqldf", "RODBC", "rmonogodb")
new.packages <- list.of.packages[!(list.of.packages 
                    %in% installed.packages()[,"Package"])]
if(length(new.packages)) install.packages(new.packages)
lapply(list.of.packages,function(x){library(x,character.only=TRUE)})

#33

the facebook login procedure is not working