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dsTidyverse

This is the DataSHIELD implementation of selected Tidyverse functions. Currently most of these functions are from dplyr, however in the future functions from other Tidyverse packages can be included.

Installation

  • Install dsTidyverse on your armadillo or opal server.
  • Whitelist dsTidyverse if required
  • Install dsTidyverseClient on your local machine

Functions/Features

From the dplyr package:

  • select: Choose columns from a data frame.
  • rename: Rename columns in a data frame.
  • mutate: Create or modify columns.
  • if_else: A vectorized conditional function.
  • case_when: A general vectorized conditional function.
  • bind_cols: Combine data frames by columns.
  • bind_rows: Combine data frames by rows.
  • filter: Filter rows based on conditions.
  • slice: Select rows by position.
  • arrange: Arrange rows by values of a column or multiple columns.
  • group_by: Group data by one or more columns.
  • ungroup: Remove grouping from data.
  • group_keys: Retrieve the group keys from a grouped data frame.
  • distinct: Return unique rows based on certain columns.

From the tibble package:

  • as_tibble: Convert data to a tibble.

Privacy settings with dsTidyverse

Please read the separate article Privacy settings with dsTidyverse for detailed instructions on managing privacy within dsTidyverse.

Contributing

If there are functions in this list you would like implemented, please either attempt to do so yourself and submit a pull request, or submit a feature request in the issues section. See the "CONTRIBUTING" file for more information.

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Version

Install

install.packages('dsTidyverse')

Monthly Downloads

208

Version

1.1.1

License

LGPL (>= 3)

Maintainer

Tim Cadman

Last Published

December 15th, 2025

Functions in dsTidyverse (1.1.1)

caseWhenDS

Performs dplyr case_when
asTibbleDS

Coerce a data frame or matrix to a tibble
ifElseDS

Vectorised if-else
listPermittedTidyverseFunctionsDS

List of Permitted Tidyverse Functions
arrangeDS

Order the rows of a data frame by the values of selected columns
groupByDS

Group by one or more variables
groupKeysDS

Performs dplyr group_keys.
ungroupDS

Remove grouping from a tibble or data frame
selectDS

Keep or drop columns using their names and types
sliceDS

Subset rows using their positions
bindRowsDS

Bind multiple data frames by row.
checkPermissivePrivacyControlLevel

checkPermissivePrivacyControlLevel
bindColsDS

Bind multiple data frames by column
filterDS

Performs dplyr filter
renameDS

Rename columns
distinctDS

Keep distinct/unique rows
mutateDS

Create, modify, and delete columns