Categorical percent time in Canada

This function creates a categorical derived variable (pct_time_der_cat10) that categorizes the derived percent time in Canada variable (pct_time_der).

pct_time_fun_cat(pct_time_der)

Arguments

pct_time_der	derived continuous percent time in Canada. See pct_time_fun for documentation on how variable was derived.

Value

value for categorical percent time in Canada using pct_time_der variable.

Details

The percent time in Canada provides an estimated percentage of the time a person's life was spent in Canada.The categorical percent time in Canada divides the continuous value into 10 percent intervals.

pct_time_der_cat10 uses the derived variable pct_time_der. pct_time_der uses various variables that have been transformed by cchsflow (see documentation on pct_time_der). In order to categorize percent time in Canada across CCHS cycles, the variables must be transformed and harmonized.

Examples

# Using pct_time_fun_cat() to create categorical percent time values 
# between CCHS cycles.
# pct_time_fun_cat() is specified in variable_details.csv along with the CCHS
# variables and cycles included.

# To transform pct_time_der_cat10 across cycles, use rec_with_table() for 
# each CCHS cycle.
# Since pct_time_der is a derived variable, you will have to specify the 
# variables that are derived from it.
# Then by using merge_rec_data(), you can combine pct_time_der_cat10 across 
# cycles.

library(cchsflow)
pct_time_cat2009_2010 <- rec_with_table(
  cchs2009_2010_p, c(
    "DHHGAGE_cont", "SDCGCBG",
    "SDCGRES", "pct_time_der", "pct_time_der_cat10"
  )
)
#> 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 SDCGRES: CCHS 2001 missing don't know (7), refusal (8)
head(pct_time_cat2009_2010)
#>   DHHGAGE_cont SDCGCBG SDCGRES pct_time_der pct_time_der_cat10
#> 1           13       1   NA(a)    100.00000                 10
#> 2           27       2       2     55.55556                  6
#> 3           62       1   NA(a)    100.00000                 10
#> 4           52       1   NA(a)    100.00000                 10
#> 5           67       1   NA(a)    100.00000                 10
#> 6           62       1   NA(a)    100.00000                 10

pct_time_cat2011_2012 <- rec_with_table(
  cchs2011_2012_p,  c(
    "DHHGAGE_cont", "SDCGCBG",
    "SDCGRES", "pct_time_der", "pct_time_der_cat10"
  )
)
#> 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 SDCGRES: CCHS 2001 missing don't know (7), refusal (8)
tail(pct_time_cat2011_2012)
#>     DHHGAGE_cont SDCGCBG SDCGRES pct_time_der pct_time_der_cat10
#> 195         72.0       2       2     20.83333                  3
#> 196         22.0       1   NA(a)    100.00000                 10
#> 197         18.5       1   NA(a)    100.00000                 10
#> 198         42.0       2       2     35.71429                  4
#> 199         62.0       1   NA(a)    100.00000                 10
#> 200         52.0       1   NA(a)    100.00000                 10

combined_pct_time_cat <- merge_rec_data(pct_time_cat2009_2010, 
pct_time_cat2011_2012)
head(combined_pct_time_cat)
#>   DHHGAGE_cont SDCGCBG SDCGRES pct_time_der pct_time_der_cat10
#> 1           13       1   NA(a)    100.00000                 10
#> 2           27       2       2     55.55556                  6
#> 3           62       1   NA(a)    100.00000                 10
#> 4           52       1   NA(a)    100.00000                 10
#> 5           67       1   NA(a)    100.00000                 10
#> 6           62       1   NA(a)    100.00000                 10
tail(combined_pct_time_cat)
#>     DHHGAGE_cont SDCGCBG SDCGRES pct_time_der pct_time_der_cat10
#> 395         72.0       2       2     20.83333                  3
#> 396         22.0       1   NA(a)    100.00000                 10
#> 397         18.5       1   NA(a)    100.00000                 10
#> 398         42.0       2       2     35.71429                  4
#> 399         62.0       1   NA(a)    100.00000                 10
#> 400         52.0       1   NA(a)    100.00000                 10