Stringr Continued

• Refer Here for the changes done where we used replace and split methods of string

Factors with forcats

• In R, factors are used to work with categorical variables.
• Prereq’s

library(tidyverse)
install.packages(forcats)
library(forcats)

• sorting ordinal categorical variables
  
• Parsing vectors into factors in the case of invalid values
  
• For the next set of examples lets use General Social Survey Dataset forcats::gss_cat

View(forcats::gss_cat)
glimpse(forcats::gss_cat)

• Lets count the different races in gss_cat
  
• Summary by religion
  
  
• Lets summarize by income
  
  

• Lets summarize by age
  
  

• Explore the below R statements

gss_cat %>%
  mutate(marital = marital %>% fct_infreq() %>% fct_rev()) %>%
  ggplot(aes(marital)) +
  geom_bar()

gss_cat %>%
  mutate(marital = marital) %>%
  ggplot(aes(marital)) +
  geom_bar()

• Recoding factors
  
  
• Collapsing multiple categories into one