.github/ISSUE_TEMPLATE.md

In topepo/rsample: General Resampling Infrastructure

If you are filing a bug, make sure these boxes are checked before submitting your issue— thank you!

• [ ] Start a new R session
• [ ] Install the latest version of of the package: update.packages(oldPkgs="rsample", ask=FALSE)
• [ ] Write a minimal reproducible example
• [ ] run sessionInfo() and add the results to the issue. Even better would be to use the sessioninfo package's session_info().

Minimal, reproducible example:

Please read this page: reprex = {repr}oducible {ex}ample

Text and example code modified from the R FAQ on stackoverflow

Minimal Reproducible Dataset:

If you are not using a data set in a package then use e.g. dput() to give us something that can be put in R immediately, e.g.

dput(head(iris,4))

Without a dataset, there usually isn't much that we can do to help.

If your data frame has a factor with many levels, the dput output can be unwieldy because it will still list all the possible factor levels even if they aren't present in the the subset of your data. To solve this issue, you can use the droplevels() function. Notice below how species is a factor with only one level: dput(droplevels(head(iris, 4))).

Minimal, runnable code:

library(rsample)

# Set the seed before using random numbers
set.seed(4121)
cv <- tidy(vfold_cv(mtcars, v = 5)) 

Session Info:

sessionInfo()

# or sessioninfo::session_info()

Be sure to test your chunks of code in an empty R session before submitting your issue!

topepo/rsample documentation built on May 4, 2019, 4:25 p.m.