I am looking for best practice help with the brilliant testthat
. Where is the best place to put your library(xyzpackage)
calls to use all the package functionality?
I first have been setting up a runtest.R
setting up paths and packages.
I then run test_files(test-code.R)
which only holds context and tests. Example for structure follows:
# runtests.R
library(testthat)
library(data.table)
source("code/plotdata-fun.R")
mytestreport <- test_file("code/test-plotdata.R")
# does other stuff like append date and log test report (not shown)
and in my test files e.g. test-plotdata.R
(a stripped down version):
#my tests for plotdata
context("Plot Chart")
test_that("Inputs valid", {
test.dt = data.table(px = c(1,2,3), py = c(1,4,9))
test.notdt <- c(1,2,3)
# illustrating the check for data table as first param in my code
expect_error(PlotMyStandardChart(test.notdt,
plot.me = FALSE),
"Argument must be data table/frame")
# then do other tests with test.dt etc...
})
Is this the way @hadley intended it to be used? It is not clear from the journal article. Should I also be duplicating library calls in my test files as well? Do you need a library set up in each context, or just one at start of file?
Is it okay to over-call library(package) in r?
To use the
test_dir()
and other functionality what is best way to set up your files. I do use require() in my functions, but I also set up test data examples in the contexts. (In above example, you will see I would need data.table package for test.dt to use in other tests).
Thanks for your help.
library
multiple times is not a problem. I usually place all such calls in the main file and do not duplicate them, but you're free to do anything you want: your package -- your rules. – Crosshatch