This function creates a categorical variable based on immigrant status (SDCFIMM), country of birth (SDCGCBG), ethnicity (SDCGCGT), and time in Canada (SDCGRES).
immigration_fun(SDCFIMM, SDCGCBG, SDCGCGT, SDCGRES)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)
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.
# 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"
)
)
#> No variable_details detected.
#> Loading cchsflow variable_details
#> Using the passed data variable name as database_name
#> NOTE for SDCGCBG: CCHS 2001 does not have don't know (7) or refusal (8)
#> NOTE for SDCGCGT: CCHS 2001 missing don't know (7), refusal (8)
#> NOTE for SDCGRES: CCHS 2001 missing don't know (7), refusal (8)
head(immigration2001)
#> SDCFIMM SDCGCBG SDCGCGT SDCGRES immigration_der
#> 1 2 1 1 NA(a) 1
#> 2 2 1 1 NA(a) 1
#> 3 1 2 1 1 3
#> 4 2 1 1 NA(a) 1
#> 5 2 1 1 NA(a) 1
#> 6 2 1 1 NA(a) 1
immigration2009_2010 <- rec_with_table(
cchs2009_2010_p, c(
"SDCFIMM", "SDCGCBG", "SDCGCGT", "SDCGRES", "immigration_der"
)
)
#> No variable_details detected.
#> Loading cchsflow variable_details
#> Using the passed data variable name as database_name
#> NOTE for SDCGCBG: CCHS 2001 does not have don't know (7) or refusal (8)
#> NOTE for SDCGCGT: CCHS 2001 missing don't know (7), refusal (8)
#> NOTE for SDCGRES: CCHS 2001 missing don't know (7), refusal (8)
tail(immigration2009_2010)
#> SDCFIMM SDCGCBG SDCGCGT SDCGRES immigration_der
#> 195 2 1 1 NA(a) 1
#> 196 2 1 1 NA(a) 1
#> 197 2 1 1 NA(a) 1
#> 198 2 1 2 NA(a) 2
#> 199 2 1 1 NA(a) 1
#> 200 1 2 1 2 5
combined_immigration <- merge_rec_data(immigration2001, immigration2009_2010)
head(combined_immigration)
#> SDCFIMM SDCGCBG SDCGCGT SDCGRES immigration_der
#> 1 2 1 1 NA(a) 1
#> 2 2 1 1 NA(a) 1
#> 3 1 2 1 1 3
#> 4 2 1 1 NA(a) 1
#> 5 2 1 1 NA(a) 1
#> 6 2 1 1 NA(a) 1
tail(combined_immigration)
#> SDCFIMM SDCGCBG SDCGCGT SDCGRES immigration_der
#> 395 2 1 1 NA(a) 1
#> 396 2 1 1 NA(a) 1
#> 397 2 1 1 NA(a) 1
#> 398 2 1 2 NA(a) 2
#> 399 2 1 1 NA(a) 1
#> 400 1 2 1 2 5