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| --Configuration, adjust to your document set up | |
| set tocStart to 3 --Start the Table of Contents at page ... | |
| set tocLineHeight to 15.0 --Line height | |
| set tocSeparatorlineOffset to -5 -- Adjust separatorline (play around with this) | |
| set tocFont to "Arial" -- Get your font by using the "Copy as applescript" function in OG and substract the right font | |
| set tocFontSize to 10 --Font size | |
| set tocFontColor to {0.4, 0.4, 0.4} | |
| set tocTop to 60 --Top (y) positioning from canvas | |
| set tocLeft to 10 --Left (x) positioning from canvas |
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| ######################################################## | |
| # Set up RStudio and JAGS on an Amazon EC2 instance | |
| # Using Ubuntu 64-bit | |
| # Partially from http://blog.yhathq.com/posts/r-in-the-cloud-part-1.html | |
| # See yhat for EC2 instance set up | |
| ######################################################## | |
| # In your terminal navigate to key pair | |
| # ssh -i YOUR_KEYPAIR.pem ubuntu@PUBLIC_DNS | |
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| #!/bin/sh | |
| # Some things taken from here | |
| # https://github.com/mathiasbynens/dotfiles/blob/master/.osx | |
| # https://gist.github.com/brandonb927/3195465 | |
| # To Run | |
| # make file executable: chmod 755 <file.sh> | |
| # sudo ./file.sh |
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| require 'dotenv' | |
| require 'linkedin' | |
| Dotenv.load | |
| module Myagencysprint | |
| class App < Padrino::Application | |
| register Padrino::Mailer | |
| register Padrino::Helpers |
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| # padrino g project my_project --template https://gist.github.com/vladiim/9fc90485b509ee4ae09e | |
| project test: :rspec, orm: :rspec, script: :jquery, renderer: :haml, stylesheet: :scss, mock: :rr, adapter: postgres | |
| require_dependencies 'thin' | |
| require_dependencies 'oj' | |
| require_dependencies 'capybara', group: :test | |
| require_dependencies 'launchy' | |
| require_dependencies 'debugger' | |
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| { "keys": ["alt+up"], "command": "select_lines", "args": {"forward": false} }, | |
| { "keys": ["alt+down"], "command": "select_lines", "args": {"forward": true} }, |
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| SELECT | |
| c.name 'Column Name', | |
| t.Name 'Data type', | |
| c.max_length 'Max Length', | |
| c.precision , | |
| c.scale , | |
| c.is_nullable, | |
| ISNULL(i.is_primary_key, 0) 'Primary Key' | |
| FROM | |
| sys.columns c |
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| library(broman) | |
| install_github() | |
| brocolors("crayons") |
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| # http://www.r-bloggers.com/evaluating-model-performance-a-practical-example-of-the-effects-of-overfitting-and-data-size-on-prediction | |
| ### Data and model fitting | |
| set.seed(1111) | |
| n <- 50 | |
| x <- sort(runif(n, -2, 2)) | |
| y <- 3*x^3 + 5*x^2 + 0.5*x + 20 # a 3 polynomial model | |
| err <- rnorm(n, sd=3) | |
| ye <- y + err | |
| df <- data.frame(x, ye) |
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| # Heres a couple of functions for calculating the confidence intervals for proportions. | |
| # Firstly I give you the Simple Asymtotic Method: | |
| simpasym <- function(n, p, z=1.96, cc=TRUE){ | |
| out <- list() | |
| if(cc){ | |
| out$lb <- p - z*sqrt((p*(1-p))/n) - 0.5/n | |
| out$ub <- p + z*sqrt((p*(1-p))/n) + 0.5/n | |
| } else { |