ds.bind_cols: Bind multiple data frames by column

In dsTidyverseClient: 'DataSHIELD' 'Tidyverse' Clientside Package

Bind multiple data frames by column

Description

DataSHIELD implementation of dplyr::bind_cols.

Usage

ds.bind_cols(
  to_combine = NULL,
  .name_repair = c("unique", "universal", "check_unique", "minimal"),
  newobj = NULL,
  datasources = NULL
)

Arguments

to_combine	Data frames to combine. Each argument can either be a data frame, a list that could be a data frame, or a list of data frames. Columns are matched by name, and any missing columns will be filled with NA.
.name_repair	One of "unique", "universal", or "check_unique". See vctrs::vec_as_names() for the meaning of these options.
newobj	Character specifying name for new server-side data frame.
datasources	datashield connections object.

Value

No return value, called for its side effects. A data frame with the name specified by newobj and the same type as the first element of to_combine is created on the server.

Examples

## Not run: 
## First log in to a DataSHIELD session with mtcars dataset loaded.

ds.bind_cols(
  to_combine = list(mtcars, mtcars),
  .name_repair = "universal",
  newobj = "test",
  datasources = conns
)

## Refer to the package vignette for more examples.

## End(Not run)

dsTidyverseClient documentation built on April 12, 2025, 1:55 a.m.