ct: An All-Purpose Count Function

In ryanburge/socsci: Some Basic Functions that I Use Frequently

Description

This function gives you a simple count with percentages that is weighted

Usage

ct(df, var, wt, cum = FALSE, show_na = TRUE)

Arguments

df	Name of the Dataset
var	Variable to Count
wt	Weighting Variable
cum	Will add a cumulative total if set to TRUE
show_na	Will remove the NAs before the calculation if set to TRUE, defaults to FALSE

Examples

cces <- read_csv("https://raw.githubusercontent.com/ryanburge/blocks/master/cces.csv")
cces %>% 
   ct(race)
   
# With a weight 
cces %>% 
     ct(race, wt = commonweight_vv)            
     
cces %>% 
   mutate(race2 = frcode(race == 1 ~ "White",
                     race == 2 ~ "Black", 
                     race == 3 ~ "Hispanic",
                      race == 4 ~ "Asian")) %>% 
  ct(race2, show_na = FALSE, commonweight_vv)   
     
# Cumulative Counts       

cces %>% 
     ct(race, cum = TRUE)

ryanburge/socsci documentation built on June 6, 2020, 2:37 a.m.