jtoll

# Example: Easily source a Gist from R using devtools

# 1) install devtools
if (!("devtools" %in% installed.packages()[, 1])) {
  install.packages("devtools")
}

# 2) source
# library(devtools)
# source_gist("https://gist.github.com/4041561")

rob-murray

// create file:
sudo vim /usr/share/applications/intellij.desktop

// add the following
[Desktop Entry]
Version=13.0
Type=Application
Terminal=false
Icon[en_US]=/home/rob/.intellij-13/bin/idea.png
Name[en_US]=IntelliJ

mick001

# Load the raw training data and replace missing values with NA
training.data.raw <- read.csv('train.csv',header=T,na.strings=c(""))

# Output the number of missing values for each column
sapply(training.data.raw,function(x) sum(is.na(x)))

# Quick check for how many different values for each feature
sapply(training.data.raw, function(x) length(unique(x)))

# A visual way to check for missing data

atomfrede

pluginName = SSJ Functions
provider = com.github.cbsti

thirdparty.list = ssj 

thirdparty.ssj.Name = SSJ: Stochastic Simulation in Java 2.6
thirdparty.ssj.Copy = Copyright (C) 2008  Pierre L'Ecuyer and Université de Montréal
thirdparty.ssj.License = GPL
thirdparty.ssj.URL = http://www.iro.umontreal.ca/~simardr/ssj/indexe.html