R-snippets

by jvcasillas ALL

R snippets for Sublimetext

Details

Version 2017.05.12.20.00.37
Homepage github.com
Issues github.com
Modified 8 years ago
Last Seen 1 hour ago
First Seen 11 years ago

Installs

Total 12K
Win 6K
Mac 4K
Linux 2K

	Nov 21	Nov 20	Nov 19	Nov 18	Nov 17	Nov 16	Nov 15	Nov 14	Nov 13	Nov 12	Nov 11	Nov 10	Nov 9	Nov 8	Nov 7	Nov 6	Nov 5	Nov 4	Nov 3	Nov 2	Nov 1	Oct 31	Oct 30	Oct 29	Oct 28	Oct 27	Oct 26	Oct 25	Oct 24	Oct 23	Oct 22	Oct 21	Oct 20	Oct 19	Oct 18	Oct 17	Oct 16	Oct 15	Oct 14	Oct 13	Oct 12	Oct 11	Oct 10	Oct 9	Oct 8	Oct 7
Windows	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0	0
Mac	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	1
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	1	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