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R Release Version 1.6 Aug 31, 2017
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DESCRIPTION Release Version 1.6 Aug 31, 2017
DomoR.Rproj Release version 1.0 Sep 8, 2015
NAMESPACE Release Version 1.6 Aug 31, 2017 Release Version 1.1 May 18, 2016


An R package for interacting with Domo data sources

About R

R is a programming language and development environment that is specifically built for statistical computing and graphics. It's one of the fastest growing programming languages in 2014. It has an amazing library of rich, statistics related packages. It is deeply ingrained in academia and generally makes doing hard statistical analysis seem easy.


In order to work with data sources directly from Domo, you need to setup your R environment.


As DomoR is not yet published on CRAN, the Comprehensive R Archive Network (and may never be), you need a helper package to install it. Hadley Wickham has built a fantastic library called devtools that allows you to install an R package directly from Github.

To install and load devtools, from an R command prompt, run:


You can verify that you have devtools installed correctly by checking has_devel() and verify that the last line is TRUE.

'/Library/Frameworks/R.framework/Resources/bin/R' --vanilla CMD SHLIB foo.c

clang -I/Library/Frameworks/R.framework/Resources/include -DNDEBUG  -I/usr/local/include -I/usr/local/include/freetype2 -I/opt/X11/include    -fPIC  -Wall -mtune=core2 -g -O2  -c foo.c -o foo.o
clang -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/usr/local/lib -o foo.o -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
[1] TRUE

After you have the devtools installed, you need to install the DomoR library.

Installation method from GitHub

You can install directly from our private Github repository:

install_github(repo="domoinc-r/DomoR", auth_token="<auth_token>")

For the auth_token parameter listed above, you can create your own personal access token. An access token is secure as it can be revoked without the need to change your password.

Also, if you wish, you can set your auth_token as an environment variable (especially helpful as you can't see your token after it is generated) and reference that variable with the github_pat() function.

export GITHUB_PAT="<auth_token>"
install_github(repo="domoinc-r/DomoR", auth_token=github_pat())

Installation method from filesystem

The easy way is to manually download and install from your filesystem.

  • Download the code using git to your local filesystem. Make sure and keep the directory named DomoR.
cd /tmp
git clone
  • From R, set your working directory to the parent directory where you cloned the repository, run
  • Install the library
  • Load the library

Example Usage

When using the DomoR package, the first thing you'll need to do is to initialize the development environment with your Domo customer instance (i.e. for and your API access token. To generate an API access token, log in to your Domo instance as an admin and go to Admin > Security > Access Tokens

Once you have your token generated from the Domo Admin screen, initialize your development environment with:

DomoR::init('customer', 'token')

After you have initialized your development environment, there are essentially three simple things you can do:

  • list your data sources
  • fetch a data source and convert it to a data frame
  • create a data source by uploading your data frame


From there, you can then list all your data sources

> DomoR::list_ds()
                   Name                       Data Source ID
1           bullet.xlsx a02f0cdf-d1a4-4d75-9729-8135e499a8d9
2          bullet excel 87703789-3778-4882-ad9a-00514fd55e5b
3 bullet excel vertical 014cfa9c-7aa3-4b24-acaf-f90c768542d9
4     horizontal bullet 48d49aa4-6e03-451a-906b-2aa6610dbd55

The data source ID (third column) can be used to explicitly fetch a data source. For convenience, the index (first column) can also be used to reference a data source to be fetched. Please be careful as using the index (first column) will always fetch the data source from the most recent listing.

You can also provide various arguments that will narrow the results returned. See the function documentation ?list_ds (or ?DomoR::list_ds) for more examples and a better description.


Fetch the data source by using the index from the most previous list_ds() results:

df <- DomoR::fetch(1)

Or specify a data source ID directly

df <- DomoR::fetch('48d49aa4-6e03-451a-906b-2aa6610dbd55')

Make sure and assign the fetched data source to a (data frame) variable so you can manipulate the data. If you don't specify a variable to assign it to, the data source is output to the console.


Create a data source by passing in a data frame with a name and description (where df is your data frame variable from which you'll create a data source in Domo).

DomoR::create(df, name="My Data Source Name", description="My Data Source Description")


Replace an existing data source (and update schema if necessary)

DomoR:replace_ds('ab84f24a-73d4-0188-d8aa-8fe78103a721', df)

A warning will appear on the console if the schema was updated/changed.


DomoR depends on <=httr_1.0.0 version. To download earlier version of httr please run below command

install.packages('', repos=NULL, type="source")