| # ----------------------------------------------------------------------------- | |
| # AI-powered Git Commit Function | |
| # Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It: | |
| # 1) gets the current staged changed diff | |
| # 2) sends them to an LLM to write the git commit message | |
| # 3) allows you to easily accept, edit, regenerate, cancel | |
| # But - just read and edit the code however you like | |
| # the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/ | |
| gcm() { |
| library(shiny) | |
| # Example usage: | |
| # lmGadget(mtcars, "wt", "mpg") | |
| # | |
| # Returns a list with two items: | |
| # $data: Data with excluded rows removed. | |
| # $model: lm (model) object. | |
| lmGadget <- function(data, xvar, yvar) { | |
| library(miniUI) |
| # rm(list = ls()) # clear objects | |
| # graphics.off() # close graphics windows | |
| plot.new() # call new plot window | |
| x = seq(-5,5, length=250) | |
| y = dnorm(x) | |
| plot(x,y, las=1, ylab='dnorm', type='n', yaxs='i', ylim=c(0, 0.5)) | |
| x2 = seq(qnorm(0.95), 5, length=50) | |
| y2 = dnorm(x2) | |
| polygon(c(x2[1], x2, x2[length(x2)]), c(0, y2, 0), border=NA, col='grey') | |
| lines(x, y) |
| #!/bin/sh | |
| ### | |
| # SOME COMMANDS WILL NOT WORK ON macOS (Sierra or newer) | |
| # For Sierra or newer, see https://github.com/mathiasbynens/dotfiles/blob/master/.macos | |
| ### | |
| # Alot of these configs have been taken from the various places | |
| # on the web, most from here | |
| # https://github.com/mathiasbynens/dotfiles/blob/5b3c8418ed42d93af2e647dc9d122f25cc034871/.osx |
| This post examines the features of [R Markdown](http://www.rstudio.org/docs/authoring/using_markdown) | |
| using [knitr](http://yihui.name/knitr/) in Rstudio 0.96. | |
| This combination of tools provides an exciting improvement in usability for | |
| [reproducible analysis](http://stats.stackexchange.com/a/15006/183). | |
| Specifically, this post | |
| (1) discusses getting started with R Markdown and `knitr` in Rstudio 0.96; | |
| (2) provides a basic example of producing console output and plots using R Markdown; | |
| (3) highlights several code chunk options such as caching and controlling how input and output is displayed; | |
| (4) demonstrates use of standard Markdown notation as well as the extended features of formulas and tables; and | |
| (5) discusses the implications of R Markdown. |