Jarad Niemi jarad
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| # From https://gist.github.com/jarad/8f3b79b33489828ab8244e82a4a0c5b3 | |
| library("dplyr") | |
| library("tidyr") | |
| library("readr") | |
| read_my_csv = function(f, into) { | |
| readr::read_csv(f) %>% | |
| dplyr::mutate(file = f) %>% | |
| tidyr::separate(file, into) |
jarad
/ read_dir_with_drake.R
Last active
May 31, 2020 16:26
Script to read a directory of data similar to `read_dir` but using drake to remember what has already been read.
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| library("drake") | |
| files = list.files("data", "*.csv", full.names = TRUE) | |
| add2 = function(d) { # example function to apply to each individual data.frame | |
| d$x = d$x+2 | |
| return(d) | |
| } | |
| plan = drake_plan( |
jarad
/ frontmatter.tex
Last active
December 13, 2018 16:41
Beamer template for approximate Iowa State University colors and my preferred style
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| \documentclass{beamer} | |
| \usetheme{AnnArbor} | |
| \usecolortheme{beaver} | |
| \usefonttheme[onlymath]{serif} % uncomment for article style math | |
| \setlength{\unitlength}{\textwidth} % measure in textwidths | |
| \usepackage[normalem]{ulem} |
jarad
/ install_and_load_packages
Created
October 14, 2014 19:59
Function to install (if necessary) and load R packages
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| # From http://stackoverflow.com/questions/4090169/elegant-way-to-check-for-missing-packages-and-install-them | |
| install_and_load_packages <- function(x){ | |
| for( i in x ){ | |
| # require returns TRUE invisibly if it was able to load package | |
| if( ! require( i , character.only = TRUE ) ){ | |
| # If package was not able to be loaded then re-install | |
| install.packages( i , dependencies = TRUE ) | |
| # Load package after installing | |
| require( i , character.only = TRUE ) | |
| } |
jarad
/ Vectorize_script.R
Created
April 5, 2016 19:14
Example usage of the Vectorize() function in R for evaluation of a likelihood surface for multiple values of the parameter
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| y = rnorm(5) | |
| log_like = function(theta, y) { | |
| sum(dnorm(y,theta,log=TRUE)) | |
| } | |
| thetas = c(1,2) | |
| # Evaluating the theta vector one at a time works, | |
| log_like(thetas[1],y) |
jarad
/ convergenceToADistribution.R
Created
December 15, 2011 21:28
random walk Metropolis for a equal mixture of two normals
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| mn = 3 | |
| f = function(x) { | |
| n = length(x) | |
| apply(.5*cbind(dnorm(x,-mn),dnorm(x,mn)),1,sum) | |
| } | |
| # Random-walk Metropolis | |
| set.seed(1) | |
| n.reps = 1e5 | |
| x.reps = rep(NA,n.reps) |