group_by_summarise: Group by and summarise

In livelihoods-and-landscapes/maplandscape: Shiny application to explore and visualise GeoPackage data

Group by and summarise

Description

Perform group by and summarise operations on selected grouping columns and compute summary statistics within each group. This function uses dplyr's group_by function for creating groups and summarise for computing summary statistics.

Usage

group_by_summarise(in_df, group_var, summ_var)

Arguments

in_df	a layer (spatial (sf) or non-spatial data frame) to summarise.
group_var	a character vector of column names to group by - uses dplyr's group_by function.
summ_var	A character vector of columns names to compute grouped summary statistics for - uses dplyr's summarise. For all numeric columns the mean and sum are computed. For numeric and non-numeric columns the count of observations within each group is returned.

Value

a summary table as a data frame (s_df) object.

livelihoods-and-landscapes/maplandscape documentation built on March 20, 2023, 5:43 a.m.