ezr.groupby_metric: Group-by Metrics

In jmp1989/easyr: Helpful wrappers for common EDA, Data Manipulation, & Modeling

Description

Quick group by metrics for a given group or groups. Only Supports one groupingfor numerical values. Supports multiple for character column groupbys

Usage

ezr.groupby_metric(dataset, groupby_fields,
  metric = "mean(., na.rm=TRUE)", numeric_fields_only = TRUE,
  num_breaks = 5, return_pct_change = TRUE)

Arguments

dataset	dataframe
groupby_fields	one or a vector. 'vs' or c('vs','am')
metric	Spell it out with understanding that it is being passed to summarize_all "mean(., na.rm=TRUE)"
numeric_fields_only	By default filters out non-numeric. Pass FALSE if you want to do something like n_distinct or sum(is.na(.))
num_breaks	For Numerical Data, how many quantile bins? Defaults to 5

Value

Returns a dataframe of all the grouping levels plus the entire dataset as whole

Examples

myfunct_groupby_metric(mtcars, 'vs')

jmp1989/easyr documentation built on May 20, 2019, 7:25 a.m.