TAF (version 4.3.0)

TAF-package: Transparent Assessment Framework for Reproducible Research

Description

General framework to organize data, methods, and results used in reproducible scientific analyses. A TAF analysis consists of four scripts (data.R, model.R, output.R, report.R) that are run sequentially. Each script starts by reading files from a previous step and ends with writing out files for the next step.

Convenience functions are provided to version control the required data and software, run analyses, clean residues from previous runs, manage files, manipulate tables, and produce figures. With a focus on stability and reproducible analyses, the TAF package comes with no dependencies. TAF forms a base layer for the icesTAF package and other scientific applications.

The following diagram describes the general workflow of every TAF analysis:

See vignette("TAF") for more detailed coverage on how to organize and run TAF workflows.

Author

Arni Magnusson, Colin Millar, and Iago Mosqueira.

Details

Initial TAF steps:

draft.data	draft DATA.bib file
draft.software	draft SOFTWARE.bib file
period	paste period string for DATA.bib
taf.boot	set up data files and software
taf.example	copy example analysis from TAF package
taf.skeleton	create empty TAF template

Running scripts:

clean	clean TAF directories
clean.boot	clean boot directory
make	run R script if needed
make.all	run all TAF scripts as needed
make.taf	run TAF script if needed
msg	show message
source.all	run all TAF scripts
source.taf	run TAF script

File management:

convert.spaces	convert spaces
cp	copy files
mkdir	create directory
os.linux	operating system
os.macos	operating system
os.windows	operating system
read.taf	read CSV file
source.dir	source all *.R files
taf.library	load package from TAF library
taf.unzip	unzip file
write.taf	write CSV file

Tables:

ddim	show data dimensions
div	divide column values
flr2taf	convert FLR to TAF
long2taf	convert long format to TAF
long2xtab	convert long format to crosstab
plus	rename plus group column
rnd	round column values
sam2taf	convert SAM to TAF
taf2html	convert data frame to HTML
taf2long	convert TAF to long format
taf2xtab	convert TAF to crosstab
tt	transpose TAF table
wide2long	convert wide to long format
xtab2long	convert crosstab to long format
xtab2taf	convert crosstab to TAF

Plots:

lim	compute axis limits
taf.colors	predefined colors
taf.png	open PNG graphics device
zoom	change lattice text size

Example tables:

catage.long	long format
catage.taf	TAF format
catage.wide	wide format
catage.xtab	crosstab format
summary.taf	summary results

Example workflow:

linreg

simple linear regression

Administrative or auxiliary tools:

check.software	check global package versions
clean.data	clean boot data
clean.library	clean TAF library
clean.software	clean TAF software
deps	workflow dependencies
detach.packages	detach all packages
dir.tree	show directory structure
dos2unix	convert line endings
download	download file
download.github	download repository
draft.readme	draft introductory readme
file.encoding	examine file encoding
get.remote.sha	look up SHA code
git.repo	read Git repository name
install.deps	install dependencies
is.r.package	check if file is an R package
latin1.to.utf8	convert file encoding
line.endings	examine line endings
pdeps	package dependencies
read.bib	read metadata entries
rmdir	remove empty directory
taf.boot.path	construct path to boot folder
taf.data.path	construct path to boot data files
taf.install	install package in TAF library
taf.libPaths	add TAF library to search path
taf.libraries	load all packages from TAF library
taf.session	show session information
taf.sources	list metadata entries
unix2dos	convert line endings
utf8.to.latin1	convert file encoding

See Also

See vignette("TAF") for an introduction to the TAF package.

The TAF Wiki provides additional help resources.

Examples

if (FALSE) {
taf.example("linreg")
setwd("linreg")
taf.boot()
source.all()
}