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dsTidyverseClient

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 control

For details on options to manage privacy levels within dsTidyverse, see vignette.

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('dsTidyverseClient')

Monthly Downloads

166

Version

1.0.3

License

LGPL (>= 3)

Maintainer

Tim Cadman

Last Published

December 15th, 2025

Functions in dsTidyverseClient (1.0.3)

ds.group_keys

Describe the groups within a grouped tibble or data frame
ds.if_else

Vectorised if-else
ds.filter

Keep rows that match a condition
ds.as_tibble

Coerce a data frame or matrix to a tibble.
ds.bind_cols

Bind multiple data frames by column
ds.distinct

Keep distinct/unique rows
ds.bind_rows

Bind multiple data frames by row.
ds.case_when

A general vectorised if-else
ds.arrange

Order the rows of a data frame by the values of selected columns
ds.group_by

Group by one or more variables
ds.rename

Rename columns
ds.ungroup

Remove grouping from a tibble or data frame
ds.mutate

Create, modify, and delete columns
ds.select

Keep or drop columns using their names and types
ds.slice

Subset rows using their positions