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.
Installationdplyr 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.tibble package:
as_tibble: Convert data to a tibble.DataSHIELD implements privacy control levels, which allows data owners to control which functions can be used by researchers. The table below shows which dsTidyverse functions are permitted in which privacy mode.
arrangeDS â â asTibbleDS â â â â bindColsDS â â bindRowsDS â â caseWhenDS â â distinctDS â â â â filterDS â â groupByDS â â groupKeysDS â â mutateDS â â renameDS â â â â selectDS â â â â sliceDS â â ungroupDS â â 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 âCONTRIBUTINGâ file for more information.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4