R Packages & its Uses – 2

[Rishabh SuranaModerator]

>>To model data:
car – car’s Anova function is popular for making type II and type III Anova tables

mgcv – Generalized Additive Models

lme4/nlme – Linear and Non-linear mixed effects models

randomForest – Random forest methods from machine learning

multcomp – Tools for multiple comparison testing

vcd – Visualization tools and tests for categorical data

glmnet – Lasso and elastic-net regression methods with cross validation

survival – Tools for survival analysis

caret – Tools for training regression and classification models

>>To report results:
shiny – Easily make interactive, web apps with R. A perfect way to explore data and share findings with non-programmers.

R Markdown – The perfect workflow for reproducible reporting. Write R code in your markdown reports. When you run render, R Markdown will replace the code with its results and then export your report as an HTML, pdf, or MS Word document, or a HTML or pdf slideshow. The result? Automated reporting. R Markdown is integrated straight into RStudio.

xtable – The xtable function takes an R object (like a data frame) and returns the latex or HTML code you need to paste a pretty version of the object into your documents. Copy and paste, or pair up with R Markdown.

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• This topic was modified 5 years ago by Mayank Goyal. Reason: added tags

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