ff_summ_bygroup: Summarize one variable in a dataset, by another categorical...

In FanWangEcon/REconTools: R Tools for Panel Data and Optimization

Description

Generate distributional and other statistics for a particular continuous variable, categorized by some discrete variables. Wage by gender for example.

Usage

ff_summ_bygroup(
  df,
  vars.group,
  var.numeric,
  str.stats.group = "main",
  ar.perc = c(0.01, 0.05, 0.1, 0.25, 0.5, 0.75, 0.9, 0.95, 0.99),
  str.stats.specify = NULL,
  boo.overall.stats = TRUE
)

Arguments

df	dataframe input dataframe of interest
vars.group	list of strings containing grouping variables, could be gender and age groups for example
var.numeric	string variable name of continuous quantitative variable to summarize
str.stats.group	string what type of statistics to consider see line 31 and below
ar.perc	array of percentiles to calculate, only calculated if str.stats.group = 'mainperc'

Value

a list of various variables

• df_table_grp_stats - A dataframe where each row is a combination of categories, and columns are categories and statistics

• df_row_grp_stats - A single row with all statistics

• df_overall_stats - A dataframe with non-grouped overall summaries

• df_row_stats_all - A named list of all statistics generated

Author(s)

Fan Wang, http://fanwangecon.github.io

References

https://fanwangecon.github.io/REconTools/reference/ff_summ_bygroup.html https://fanwangecon.github.io/REconTools/articles/fv_summ_bygroup.html https://github.com/FanWangEcon/REconTools/blob/master/R/ff_summ_bygroup.R

Examples

data(mtcars)
df_mtcars <- mtcars
df <- df_mtcars
vars.group <- c('am', 'vs')
var.numeric <- 'mpg'
str.stats.group <- 'allperc'
ar.perc <- c(0.01, 0.05, 0.10, 0.25, 0.5, 0.75, 0.9, 0.95, 0.99)
ls_summ_by_group <- ff_summ_bygroup(df, vars.group, var.numeric, str.stats.group, ar.perc)
df_table_grp_stats <- ls_summ_by_group$df_table_grp_stats
df_row_grp_stats <- ls_summ_by_group$df_row_grp_stats
df_overall_stats <- ls_summ_by_group$df_overall_stats
df_row_stats_all <- ls_summ_by_group$df_row_stats_all
print(df_table_grp_stats)
print(df_row_grp_stats)
print(df_overall_stats)
print(df_row_stats_all)

FanWangEcon/REconTools documentation built on Jan. 21, 2022, 10:28 p.m.