R-snippets
R snippets for Sublimetext
Details
Installs
- Total 12K
- Win 6K
- Mac 4K
- Linux 2K
Feb 18 | Feb 17 | Feb 16 | Feb 15 | Feb 14 | Feb 13 | Feb 12 | Feb 11 | Feb 10 | Feb 9 | Feb 8 | Feb 7 | Feb 6 | Feb 5 | Feb 4 | Feb 3 | Feb 2 | Feb 1 | Jan 31 | Jan 30 | Jan 29 | Jan 28 | Jan 27 | Jan 26 | Jan 25 | Jan 24 | Jan 23 | Jan 22 | Jan 21 | Jan 20 | Jan 19 | Jan 18 | Jan 17 | Jan 16 | Jan 15 | Jan 14 | Jan 13 | Jan 12 | Jan 11 | Jan 10 | Jan 9 | Jan 8 | Jan 7 | Jan 6 | Jan 5 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Windows | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
Mac | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
Linux | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
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