immigration_fun {cchsflow} | R Documentation |
Immigration by ethnicity and settlement
Description
This function creates a categorical variable based on immigrant status (SDCFIMM), country of birth (SDCGCBG), ethnicity (SDCGCGT), and time in Canada (SDCGRES).
Usage
immigration_fun(SDCFIMM, SDCGCBG, SDCGCGT, SDCGRES)
Arguments
SDCFIMM |
Immigrant status (1-immigrant, 2-non-immigrant) |
SDCGCBG |
Country of birth (1-Canada, 2-Outside of Canada) |
SDCGCGT |
Cultural or racial origin (1-white, 2-visible minority) |
SDCGRES |
Length/time in Canada since immigration (1- 0-9 years, 2- 10+ years) |
Details
immigration_der uses the CCHS variables that have been transformed by cchsflow. In order to generate a value for BMI across CCHS cycles, the following SDC variables must be transformed and harmonized.
Value
Categorical variable (immigration_der) with six categories:
1 - White Canada-born
2 - Non-white Canadian born
3 - White immigrant born outside of Canada (0-9 years in Canada)
4 - Non-white immigrant born outside of Canada (0-9 years in Canada)
5 - White immigrant born outside of Canada (10+ years in Canada)
6 - Non-white immigrant born outside of Canada (10+ years in Canada)
Examples
# Using immigration_fun() to create immigration_der values across CCHS cycles
# immigration_fun() is specified in variable_details.csv along with the
# CCHS variables and cycles included.
# To transform immigration_der, use rec_with_table() for each CCHS cycle
# and specify immigration_der, along with the various SDC variables.
# Then by using merge_rec_data() you can combine immigration_der across cycles.
library(cchsflow)
immigration2001 <- rec_with_table(
cchs2001_p, c(
"SDCFIMM", "SDCGCBG", "SDCGCGT", "SDCGRES", "immigration_der"
)
)
head(immigration2001)
immigration2009_2010 <- rec_with_table(
cchs2009_2010_p, c(
"SDCFIMM", "SDCGCBG", "SDCGCGT", "SDCGRES", "immigration_der"
)
)
tail(immigration2009_2010)
combined_immigration <- merge_rec_data(immigration2001, immigration2009_2010)
head(combined_immigration)
tail(combined_immigration)