In sjpierce/SSACHR: Serial Sexual Assault Study Criminal History Records Paper Research Compendium

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Purpose

This file just produces a list of R and R package citations so that we can give appropriate credit to the many people who developed or contributed to the software we relied on in doing this work. It's a separate file so that we can reduce redundancy across other PDF files produced by the various scripts.

Version numbers in citations will be consistent with those used in other scripts if you knit this document from the same computer used for knitting those other scripts. Do that immediately after knitting all the other scripts.

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Setup

Set global R chunk options (local chunk options will over-ride global options). The method for creating a size option that controls font size in code chunks and their text output is based on an answer to a question posted on
stackoverflow.com.

``` {r global_options, cfsize = "footnotesize"}

Create a custom chunk hook/option for controlling font size in chunk & output.

def.chunk.hook <- knitr::knit_hooks$get("chunk") knitr::knit_hooks$set(chunk = function(x, options) { x <- def.chunk.hook(x, options) ifelse(options$cfsize != "normalsize", paste0("\n \", options$cfsize,"\n\n", x, "\n\n \normalsize"), x) })

Global chunk options (over-ridden by local chunk options)

knitr::opts_chunk$set(include = TRUE, echo = TRUE, error = TRUE, message = TRUE, warning = TRUE, cfsize = "footnotesize")

Declare location of this script relative to the project root directory.

here::i_am(path = "inst/R_Citations.Rmd")

Load R packages that we need to get additional functions. 

``` {r load_packages}
library(here)             # for here()
library(rmarkdown)        # for render()
library(SSACHR)           # for git_report(), which_latex()

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Project Information

These materials are scholarly products based on research funded by the following grant.

Campbell, R., Pierce, S. J., & Sharma, D. (2015–2018). Serial sexual assaults: A longitudinal examination of offending patterns using DNA evidence. (NIJ Award # 2014-NE-BX-0006) [Grant]. National Institute of Justice.

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Software Information

We use R Markdown to enhance reproducibility. Knitting the source R Markdown script r knitr:::current_input() generates this PDF file.

• We used RStudio to work with R and R markdown files. The software chain looks like this: Rmd file > RStudio > R > rmarkdown > knitr > md file > pandoc > tex file > TinyTeX > PDF file.
• We recommend using TinyTeX to compile LaTeX files into PDF files. However, it should be viable to use MiKTeX or another LaTeX distribution instead.
• We used pandoc r pandoc_version() for this document.

This document was generated using the following computational environment and dependencies:

``` {r show_citations}

Check and report whether we used TinyTex or other LaTeX software.

which_latex()

Get R citation.

citation()

Get package citations.

citation("assertthat") citation("car") citation("descr") citation("devtools") citation("dplyr") citation("emmeans") citation("geepack") citation("git2r") citation("ggdist") citation("ggplot2") citation("haven") citation("here") citation("kableExtra") citation("knitr") citation("lattice") citation("latticeExtra") citation("lubridate") citation("plyr") citation("psych") citation("rmarkdown") citation("RColorBrewer") citation("sjlabelled") citation("SSACHR") citation("texreg") citation("tinytex") citation("tidyr") citation("utils") citation("vistime")

The current Git commit details and status are:

```r
git_report()

sjpierce/SSACHR documentation built on Jan. 16, 2022, 12:39 a.m.