knitr::opts_chunk$set( collapse = TRUE, comment = "#>", fig.path = "README-" )
library(fertile) library(tidyverse) miceps <- system.file("extdata/project_miceps.zip", package = "fertile") %>% sandbox()

Tools to make achieving R project reproducibility easy!
fertile?R-specific featuresmiceps: variable containing path to directory containing following project:

proj_badges(miceps)

$~$

fertile contains 16 checks on different aspects of reproducibility:

$~$
Run them individually or in customizable groupings, w/ proj_check(), proj_check_some(), or proj_check_badge()
# Individual check has_well_commented_code(miceps)
# Combined checks proj_check_badge(miceps, "documentation")
read_csv("/Users/audreybertin/Documents/fertile/project_miceps/mice.csv")
setwd(miceps)
Several data-reading functions built in to fertile's warning system:

$~$
Customize warning system by:
add_shim(), add_all_possible_shims())# Add stats::write.ftable to the warning system add_shim(func = "write.ftable", package = "stats")
edit_shims())unload_shims())load_shims()) --- this is the default setting.You can install fertile from GitHub with:
# install.packages("remotes") remotes::install_github("baumer-lab/fertile")
citation("fertile")
The fertile release at the time of publication for the above citation can be found here: https://github.com/baumer-lab/fertile/releases/tag/v1.0
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