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R-snippets

by jvcasillas ALL

R snippets for Sublimetext

Labels snippets, R, statistics

Details

  • 2017.05.12.20.00.37
  • github.​com
  • github.​com
  • 4 years ago
  • 1 hour ago
  • 8 years ago

Installs

  • Total 11K
  • Win 5K
  • Mac 4K
  • Linux 2K
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Windows 0 2 1 1 0 2 0 0 1 1 1 0 0 0 2 0 2 0 0 0 0 0 0 3 1 1 0 0 1 1 1 1 1 0 0 0 2 0 0 0 0 2 0 0 1 1
Mac 1 1 0 0 1 0 0 1 0 0 2 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 0 1 0 0 0 0 0 0 0 2
Linux 0 0 0 0 0 1 1 0 0 0 0 0 0 1 2 1 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1

Readme

Source
raw.​githubusercontent.​com

R-snippets

This package includes a selection of R snippets for Sublimetext that I find useful when using R through SublimeREPL

Check out the project page at http://www.jvcasillas.com/code/projects/R-snippets

Just type the trigger and hit the tab key. For example…

lm

Expands to…

# load lme4 for mixed models
library(lme4)

# random intercept and random slope model
modelName <- lmer(DV ~ fixedFactor1 +* fixedFactor2 + (1 + randomSlope|randomInt), data=df)
summary(modelName)

Main triggers

  • “plot”: templates for plotting in base R
  • “edit”: options useful for data cleansing and saving
  • “desc”: descriptive statistics of data
  • “ttest”: distinct types of t-test
  • “aov”: distinct analysis of variance models
  • “lm”: linear and logistic regression
  • “lmem”: linear mixed effects models

Extras

  • “subset”: make subsets of a DF
  • “read”: read/load/install data/packages into R
  • “save”: save plots, dfs, tables, etc.
  • “tikz”: template for creating R plots in LaTeX

Note All snippets have the following scopes:

source.r, text.html.markdown.knitr, text.tex.latex, text.html.markdown.rmarkdown

To add

  • knitr
  • dplyr
  • coursera