--- title: "Introduction to apa" author: "Daniel Gromer" date: "`r Sys.Date()`" output: rmarkdown::html_vignette vignette: > %\VignetteIndexEntry{Introduction to apa} %\VignetteEngine{knitr::rmarkdown} %\VignetteEncoding{UTF-8} --- ```{r, warning=FALSE, echo=FALSE} library(apa) ``` The `*_apa()` functions help you to format outputs of statistical tests according to guidelines of the APA (American Psychological Association). The functions take the return value of a test function as the first argument, e.g. a call to `chisq.test()` is passed to `chisq_apa()`, which returns a formatted string. The idea of such formatters was introduced in the [schoRsch package](https://cran.r-project.org/package=schoRsch/). apa generalizes this idea by providing formatters for different output formats (text, Markdown, RMarkdown, HTML, LaTeX, LaTeX inline math, docx and R's plotmath syntax). Currently supported tests are: - t-test (`t.test` and `apa::t_test`) - ANOVA (`aov`, `ez::ezANOVA`, `afex::aov_car`, `afex::aov_ez`, and `afex::aov_4`) - chi-squared test (`chisq.test`) - test of a correlation (`cor.test`) ## Example Take the following test of a correlation as an example: ```{r} # Data from ?cor.test x <- c(44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1) y <- c( 2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8) ct <- cor.test(x, y) ct ``` Calling `cor_apa()` then returns a string ready to copy-and-paste into manuscripts or presentations. ```{r} cor_apa(ct) ``` The `format` argument of `cor_apa()` allows you to specify the output format, which can be one of `"text"` (default), `"markdown"`, `"rmarkdown"`, `"html"`, `"latex"`, `"latex_math"`, `"docx"` or `"plotmath"`. ```{r} cor_apa(ct, format = "rmarkdown") ``` Which is printed as `r apa(ct)` in a RMarkdown document. ```{r} cor_apa(ct, format = "latex") ``` ```{r, eval=FALSE} # Opens a temporary document in your word processor cor_apa(ct, format = "docx") ``` ![](cor_apa_docx.png) ```{r, fig.width=6, fig.height=5} # Paste output in a plot using R's plotmath syntax plot(x, y) abline(lm(y ~ x)) text(55, 3.9, cor_apa(ct, format = "plotmath")) ```