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# Select response time, url id, and timestamp from verbose siege output
$ awk -F, '{ print $4","$7","$8 }' my_siege.log > ~/response.csv

# Load csv file into an R data.frame
> foo <- read.csv("~/response.csv", row.names=NULL, colClasses=c("numeric", "factor", "POSIXct"), col.names=c("response.time", "url.id", "timestamp"))

# Plot
> qplot(timestamp, response.time, data=foo, geom=c("point", "smooth"))

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set nocompatible                                      " We are using Vim
syntax on
set colorcolumn=80
set ruler

hi StatusLine   ctermfg=0   ctermbg=3 cterm=bold      " Window highlighting
hi StatusLineNC ctermfg=0 ctermbg=238 cterm=none

hi Folded       ctermfg=244 ctermbg=0 cterm=none      " Code folding highlight

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# For an R dataframe that has a column of email
# addresses, e.g. [email protected], return just
# the domain name

sapply(strsplit(my.df$email, "@"), "[", 2)

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CONTENT_TYPES = {:html => 'text/html', :css => 'text/css', :js  => 'application/javascript'}

before do
  request_uri = case request.env['REQUEST_URI']
    when /\.css$/ : :css
    when /\.js$/  : :js
    else          :html
  end
  content_type CONTENT_TYPES[request_uri], :charset => 'utf-8'
end

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Regexp.new(%w[ www www3 ].collect { |p| Regexp.escape(p) }.join('|'))

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library(ggplot2)

sparkLinePlot <- function(df, plot.file) {

  highest <- subset(df, outcomes == max(outcomes))
  lowest <- subset(df, outcomes == min(outcomes))

  p <- ggplot(df, aes(x=date, y=outcomes)) +
       geom_line() +
       opts(panel.border = theme_rect(linetype = 0),

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git log --oneline -1 | newrelic deployments -c

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rvm get latest
rvm package install readline
rvm install 1.9.2 --with-readline-dir=$rvm_path/usr
rvm 1.9.2 --default
gem install rails
bundle install

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require 'rubygems'
require 'typhoeus'
require 'ap'  

begin
  request = Typhoeus::Easy.new 
  request.url = "http://www.google.com"
  request.max_redirects = 2 
  request.verbose = 1 
  request.method = :get 

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sudo ngrep -d en1 -W byline port 80 and host heroku.com