rtry_explore: Explore data

In rtry: Preprocessing Plant Trait Data

Explore data

Description

This function takes a data frame or data table and converts it into a grouped data frame of unique values based on the specified column names. A column (Count) is added, which shows the number of records within each group. The data are grouped by the first attribute if not specified with the argument sortBy.

Usage

rtry_explore(input, ..., sortBy = "", showOverview = TRUE)

Arguments

input	Data frame or data table, e.g. from rtry_import().
...	Attribute names to group together.
sortBy	(Optional) Default "" indicates no sorting is applied to the grouped data. Specify the attribute name used to re-order the rows in ascending order.
showOverview	Default TRUE displays the dimension of the result data table.

Value

A data frame of unique values grouped and sorted by the specified attribute(s).

References

This function makes use of the group_by, summarise and arrange functions within the dplyr package.

Examples

# Explore the unique values in the provided sample data (data_TRY_15160)
# based on the attributes AccSpeciesID, AccSpeciesName, TraitID, TraitName, DataID
# and DataName, sorted by TraitID
data_explore <- rtry_explore(data_TRY_15160,
                  AccSpeciesID, AccSpeciesName, TraitID, TraitName, DataID, DataName,
                  sortBy = TraitID)

# Expected message:
# dim:   235 7

# Learn more applications of the explore function via the vignette (Workflow for
# general data preprocessing using rtry): vignette("rtry-workflow-general").

rtry documentation built on Aug. 10, 2023, 1:07 a.m.