knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
This vignette explains how to process your output files from a Detection Response Task. First, use one of the combine
functions to combine your input files into one csv with information from the name of the files appended to the data frame as columns. For example, in this vignette we have eight .txt
files with information in the names of the files separated by an underscore (_). Because our .Rmd
file is in the same directory, we can use getwd()
to specify our working directory as the fpath
, or filepath. .Rmd
and .R
files are filtered out automatically, allowing just your .txt
, .csv
, or other separated value files to be combined.
library(DRTr) combineCSV(fpath = getwd(), dataname = df) head(df)
Now there should be an object under Data in your Global Environment with the dataname
that you specified. However, that dataset is probably pretty messy. There are probably some columns that you don't need, and none of them have names. That's ok, you can use nameCheck
to simultaneously get the columns you're most interested in with appropriate names.
newdf <- nameCheck(df, "V1",c("V3","V4"), "X1","X3","X4",mics = NULL,"X7","X19") #Have to fix having 1 or more condition columns
Then, visualize the data utilizing the viz
functions.
vizBySubject(newdf,plottype = "bar",subid = "subid",cond = "cond", DV= "rt")
Finally, you can perform summaries or statistics on your dataset with some helpful compare
functions.
1+1
Vignettes are long form documentation commonly included in packages. Because they are part of the distribution of the package, they need to be as compact as possible. The html_vignette
output type provides a custom style sheet (and tweaks some options) to ensure that the resulting html is as small as possible. The html_vignette
format:
Note the various macros within the vignette
section of the metadata block above. These are required in order to instruct R how to build the vignette. Note that you should change the title
field and the \VignetteIndexEntry
to match the title of your vignette.
The html_vignette
template includes a basic CSS theme. To override this theme you can specify your own CSS in the document metadata as follows:
output: rmarkdown::html_vignette: css: mystyles.css
The figure sizes have been customised so that you can easily put two images side-by-side.
plot(1:10) plot(10:1)
You can enable figure captions by fig_caption: yes
in YAML:
output: rmarkdown::html_vignette: fig_caption: yes
Then you can use the chunk option fig.cap = "Your figure caption."
in knitr.
You can write math expressions, e.g. $Y = X\beta + \epsilon$, footnotes^[A footnote here.], and tables, e.g. using knitr::kable()
.
knitr::kable(head(mtcars, 10))
Also a quote using >
:
"He who gives up [code] safety for [code] speed deserves neither." (via)
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