covr | Test coverage reports for R | Dashboard library
kandi X-RAY | covr Summary
kandi X-RAY | covr Summary
Track test coverage for your R package and view reports locally or (optionally) upload the results to codecov or coveralls.
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QUESTION
Suppose I have the below text:
...ANSWER
Answered 2021-May-27 at 22:54The solution was the following:
QUESTION
Goal
I would like to install devtools to my version of R version 3.5.1.
Problem
When I install the package devtools, I get the following error:
...ANSWER
Answered 2021-Feb-13 at 22:40Your simplest fix is to either:
- Install a newer version of R (!!recommended!!)
- Use a snapshot mirror such as the ones from provided by microsoft at https://mran.microsoft.com/snapshots/{date} (replacing {date}) as the
mirror
argument ininstall.packages
. By looking at https://cran.r-project.org/bin/windows/base/old/ we can see thatR-3.5.1
was replaced byR-3.5.2
in december 2018. So I would suggest using2018-11-31
as your snapshot mirror.
QUESTION
I am trying to build a gitlab CI file for an R package which lives in a private repository. This package depends on another R package in another private repository. To install the dependency package I am using the following approach which I am sure is not the best since the username/password details are exposed.
Is there an alternative way to install the dependency package from a private gitlab repository?
...ANSWER
Answered 2021-Feb-04 at 14:42After some more tries I found a way it could be done, you can create a group token for your project and use this instead of the username/password https://docs.gitlab.com/ee/user/project/deploy_tokens/
QUESTION
If I have tests/testhat/testhat.R, devtools::test()
finds it and runs it, but covr:package_coverage()
and R CMD check
does not find it.
If I have it as tests/testhat.R, devtools::test()
doesn't find it but covr:package_coverage()
and R CMD check
does.
What's the best way to do this?
R 4.0.0; testthat 2.3.2; covr 3.5.0
...ANSWER
Answered 2020-Jul-12 at 21:18Your directory structure of the test
folder should look like this:
QUESTION
I have a package metagam
which is on CRAN, and it passes all of CRAN's automated tests. However, the package depends on the Bioconductor package multtest
through the chain of dependencies metagam
<- metap
<- mutoss
<- multtest
. This is visualized below for the dependencies of the metap
package.
ANSWER
Answered 2020-Jun-20 at 14:40Because Bioconductor has twice-yearly releases, and this differs from CRAN release practices, the 'right' thing to do is to use Bioconductor tools to install your package, so BiocManager::install("metap")
. It does not matter that metap is a CRAN package. BiocManager installs the correct version of the Bioconductor package for the user's version of R.
If this solution isn't palatable, then the next-best right thing to do is to adjust your dependencies to avoid direct or indirect dependencies on Bioconductor packages.
QUESTION
I have my base url say: http://www.example.com and file name is coming from api which is in dataSource like this:
...ANSWER
Answered 2020-May-11 at 15:06Try using setting style
dynamically as :
QUESTION
I am pretty desperate to install.packages("devtools")
.
However it allways fails with this error
ANSWER
Answered 2020-May-06 at 20:00I am also on Ubuntu 20.04 but running R 4.0.0.
When trying to install a package, if it depends on another that was installed prior to R 4.0.0 I get an error message and the installation fails. This happens even if I set dependencies = TRUE
in the call to install.packages
.
Example: The command was
QUESTION
I'm trying to set up codecov monitoring for a public R package, where GitHub Actions will run covr::codecov
. I'm looking at this .yaml example (Source):
ANSWER
Answered 2020-Feb-19 at 14:59No, don't put the token in the .yaml file. For use with GitHub Actions, you add the token to the Secrets section of your GitHub repository, then leave the .yaml code above as it is.
Add the secret at the URL (modify with your names): https://github.com/USERNAME/REPONAME/settings/secrets and call it CODECOV_TOKEN. Then this .yaml code will find it.
(You get the repo's codecov token from https://codecov.io/gh/USERNAME/REPONAME)
QUESTION
I'm trying to install Tidyverse on a Ubuntu 18.04.3 LTS (Bionic Beaver) system, preferably in a maintainable way, such that I can execute the code examples in a related book.
I've explored posted questions related to this one, and have found the top or accepted answers did not allow me to install Tidyverse.
Install system packages (in comments)
So now I am trying to build up an installation procedure from a state where previously-mentioned packages begin uninstalled, which currently does not work but gives a template from which answers to this question can be modifications from.
$ sudo apt-get install libssl-dev libxml2-dev libcurl4-openssl-dev
$ sudo apt-get install r-base-core r-base-dev
$ sudo apt-get install r-cran-curl r-cran-openssl r-cran-xml2
$ R
> install.packages("tidyverse")
Following the above procedure ends with the following as output in the R interactive terminal:
...ANSWER
Answered 2019-Nov-26 at 21:56You should probably first update R (currently it is version 3.6.1-2). The documentation on how to set new repositories for R in Ubuntu is here: https://cran.r-project.org/bin/linux/ubuntu/
QUESTION
I am having some issues getting Travis-CI to install RcppArmadillo on Ubuntu 16.04 with R-oldrel (3.5.3) although it works for R-release (3.6.1) and R-devel. I get the following error:
...ANSWER
Answered 2019-Oct-01 at 16:20I believe this is an interaction between the binary packages that you have specified (dplyr
and rcpp
) and the fact it is the old release of R. Basically, I believe the binary versions are not usable with this older R. If you remove the r_binary_packages
, only for the r: oldrel
, it should work. You can move the r_binary_packages
into each of the sections about the R version.
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