mick001

# Set a seed
set.seed(500)

library(MASS)
data <- Boston

# Check that no data is missing
apply(data,2,function(x) sum(is.na(x)))

# Train-test random splitting for linear model

gluc

This gist shows how to convert a nested JSON file to an R data.frame. To do this, it uses jsonlite and data.tree.

The gist contains two examples: one is a bit simpler, the second one a bit more advanced.

Example 1

In the first example, we download all the repos from Hadley Wickham's Github account from https://api.github.com/users/hadley/repos . This JSON contains a nested owner object. The code shows how to convert that in a flat data.frame in three statements:

1. line 5: download
2. line 8: convert to data.tree

dgrtwo

---
title: "Effect of compression type and file complexity on saveRDS size and speed"
author: "David Robinson"
date: "April 20, 2015"
output: html_document
---

```{r echo = FALSE}
knitr::opts_chunk$set(cache = TRUE, message = FALSE)
```

ZeccaLehn

Shows function Internals

library(BayesianFirstAid)
debugonce(bayes.t.test) # turns off debugging for function after first run
bayes.t.test(co2)

Returns hidden and unhidden environments

hyeshik

{
 "metadata": {
  "name": "",
  "signature": "sha256:f99925a6f73a1e36bc91415d84266705e3bdf72304d8dba7bcfb6c94ca7b270a"
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

stephenturner

# see blog post here:
# http://gettinggeneticsdone.blogspot.com/2015/01/microbenchmark-package-r-compare-runtime-r-expressions.html

library(dplyr)
library(nycflights13)
flights

# base
aggregate(flights$arr_delay, by=list(flights$carrier), mean, na.rm=TRUE)

bquistorff

<NotepadPlus>
    <UserLang name="Stata" ext="do ado" udlVersion="2.1">
        <Settings>
            <Global caseIgnored="yes" allowFoldOfComments="no" foldCompact="no" forcePureLC="2" decimalSeparator="0" />
            <Prefix Keywords1="no" Keywords2="no" Keywords3="no" Keywords4="no" Keywords5="no" Keywords6="no" Keywords7="yes" Keywords8="no" />
        </Settings>
        <KeywordLists>
            <Keywords name="Comments">00// 00* 00/// 01 02 03/* 04*/</Keywords>
            <Keywords name="Numbers, prefix1"></Keywords>
            <Keywords name="Numbers, prefix2"></Keywords>

mauricerkelly

This Gist contains the script and generated output file for an Acer B276HUL.

The pre-generated file below is known to work with:

• OS X Mavericks
• OS X Yosemite
• OS X El Capitan

For El Capitan:

1. Restart your Mac while holding Command-R: this puts your Mac into Recovery Mode.

ericpgreen

#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::
# export from R to Excel with conditional highlighting
# see http://stackoverflow.com/questions/21618556/export-data-frames-to-excel-via-xlsx-with-conditional-formatting
#::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::

# get some data from the psych package
  library(psych)
  dat <- bfi
# load xlsx
  library(xlsx)

adaugherity

#!/usr/bin/ruby
# Create display override file to force Mac OS X to use RGB mode for Display
# see http://embdev.net/topic/284710

require 'base64'

data=`ioreg -l -d0 -w 0 -r -c AppleDisplay`

edids=data.scan(/IODisplayEDID.*?<([a-z0-9]+)>/i).flatten
vendorids=data.scan(/DisplayVendorID.*?([0-9]+)/i).flatten