Crunch.io provides a cloud-based data store and analytic engine. It has a web client for interactive data exploration and visualization. The crunch package for R allows analysts to interact with and manipulate Crunch datasets from within R. Importantly, this allows technical researchers to collaborate naturally with team members, managers, and clients who prefer a point-and-click interface: because all connect to the same dataset in the cloud, there is no need to email files back and forth continually to share results.
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crunch can be installed from CRAN with
The pre-release version of the package can be pulled from GitHub using the
remotes package (part of
# install.packages("remotes") remotes::install_github("Crunch-io/rcrunch")
The crunch R package needs to know what URL to use for the API and what your token is for authentication. For more details on how to get an API token, see the help center article.
usethis package can help you set environment environment variables, the following code will open a text editor:
And then you can add environment variables by adding the following (filling in the correct values for for
secret-key-goes-here, with one set of quotation marks around the url and key).
Restart your R session, or run command
readRenviron("~/.Renviron"), and then you will be authenticated automatically.
listDatasets() to see the names of your existing datasets, which you can load like
ds <- loadDataset("The name of my dataset"). New Crunch datasets can be made from a
data.frame, a .csv or .sav file, or a URL to a file with
newDataset(). See the help for these functions or
vignette("crunch") for more information.
The tests for the rcrunch package relies on mocks that are compressed into a tarball so that the package stays within the CRAN 5MB size limit. To avoid git merge conflicts this file is not checked in so it must be created before you can run tests. It is created for you if you run
make test, or you can create it explicitly by running
make compress-fixtures or
See the contribution guidelines.
This installs dependencies and then runs the tests, which installs
crunch from your local checkout in the process. If the dependencies fail to install, check the error message. You may need to install
libcurl on your system before installing the R packages.
You can run tests in an interactive session, or from the command line,
$ make test is all you need. Requires the
httptest package for R. You can also specify a specific test file or files to run by adding a “file=” argument, like
$ make test file=auth.
test_package will do a regular-expression pattern match within the file names. See its documentation in the
Testing has two options: unit tests only, and tests that communicate with an API server. This is governed by an environment variable,
INTEGRATION, which is false by default, meaning that API integration tests are not run. To modify this and test against the Crunch API, you can run
$ make test INTEGRATION=TRUE.
To run integration tests, you will need to specify an API key and API server to communicate with. You can do this by setting the environment variables
If you are a Crunch developer serving a version of the API/backend with Vagrant or Docker, you will have best results if your R_TEST_API/CRUNCH_TEST_API_KEY (1) is
local.crunch.io, thanks to a mapping of localhost to that in your hosts file. In order to avoid self-signed certificate errors use the environment variable
R_TEST_VERIFY_SSL=FALSE. You might point at “https://local.crunch.io:28443/api/”, for example. Some tests that cannot run successfully in the local environment will be skipped when run against a local.crunch.io URL.
Example of local usage: