Notes:
I've tried to break up in to separate pieces, but it's not always possible: e.g. knowledge of data structures and subsetting are tidy intertwined.
Level of Bloom's taxonomy listed in square brackets, e.g. http://bit.ly/15gqPEx. Few categories currently assess components higher in the taxonomy.
| # Joseph R. Mihaljevic | |
| # July 2013 | |
| # (Partial) Bayesian analysis of variance, accounting for heteroscedasticity | |
| # Generate some artificial data: | |
| # Normally distributed groups, but heteroscedastic | |
| a <- rnorm(25, mean=8, sd=10) | |
| b <- rnorm(50, mean=5, sd=2) | |
| c <- rnorm(25, mean=3, sd=.1) | |
| d <- rnorm(25, mean=11, sd=3) | |
| e <- rnorm(50, mean=13, sd=2) |
| # Here are a few methods for getting text from PDF files. Do read through | |
| # the instructions carefully! NOte that this code is written for Windows 7, | |
| # slight adjustments may be needed for other OSs | |
| # Tell R what folder contains your 1000s of PDFs | |
| dest <- "G:/somehere/with/many/PDFs" | |
| # make a vector of PDF file names | |
| myfiles <- list.files(path = dest, pattern = "pdf", full.names = TRUE) |
| --- | |
| title: "Auto-numbering and cross-referencing of figures and tables in rmarkdown" | |
| output: html_document | |
| --- | |
| TODO: check this out: https://github.com/adletaw/captioner | |
| Here's how to use: | |
| 1. Copy and paste the first two code chunks in this document to the top of your document |