In arthurgailes/rsegregation: Calculate Empirical Measures of Segregation

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sapply(c('tidycensus','here','tidyverse'), require, character.only=T)
knitr::opts_knit$set(root.dir = here())

racevars <- c('P005001','P005010','P005003','P005004','P005006','P005005')
bay_counties <- c("001", "013", "041", "055", "075", "081", "085", "095",
  "097")
data <- get_decennial(geography = 'tract',variables = racevars,state=6,county=bay_counties, output = 'wide')

Rename and format data

bay_race <- transmute(data,fips=GEOID, total_pop    =   P005001, hispanic   =   P005010,
  white =   P005003, black  =   P005004, asian  =   P005006, 
  all_other = total_pop - white-black-hispanic-asian,
  county =gsub('^[^,]+, ','',NAME), county=paste0(county, ", 2010"))

For now, I only want to save the wide format

usethis::use_data(bay_race, overwrite=T)

arthurgailes/rsegregation documentation built on May 23, 2021, 6:33 a.m.