This is one of 2 functions used to create a derived variable (COPD_Emph_der) that determines if a respondents has either COPD or Emphysema. 2 different functions have been created to account for the fact that different respiratory variables are used across CCHS cycles. This function is for CCHS cycles (2005-2008) that use COPD and Emphysema as a combined variable.
COPD_Emph_der_fun1(DHHGAGE_cont, CCC_91E, CCC_91F)
DHHGAGE_cont | continuous age variable. |
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CCC_91E | variable indicating if respondent has Emphysema |
CCC_91F | variable indicating if respondent has COPD |
a categorical variable (COPD_Emph_der) with 3 levels:
respondent is over the age of 35 and has a respiratory condition
respondent is under the age of 35 and has a respiratory condition
respondent does not have a respiratory condition
# COPD_Emph_der_fun1() to create values across CCHS cycles # (2005-2008) COPD_Emph_der_fun1() is specified in # variable_details.csv along with the CCHS variables and cycles included. # To transform COPD_Emph_der, use rec_with_table() for each CCHS cycle # and specify COPD_Emph_der, along with the various respiratory # variables. Then by using merge_rec_data() you can combine COPD_Emph_der # across cycles. library(cchsflow) COPD2005 <- suppressWarnings(rec_with_table( cchs2005_p, c( "DHHGAGE_cont", "CCC_91E", "CCC_91F", "COPD_Emph_der" ) ))#>#>#>#> CCC_91E CCC_91F DHHGAGE_cont COPD_Emph_der #> 1 NA(a) NA(a) 27 NA(a) #> 2 2 2 77 3 #> 3 2 2 32 3 #> 4 2 2 77 3 #> 5 2 2 85 3 #> 6 NA(a) NA(a) 13 NA(a)COPD2007_2008 <- suppressWarnings(rec_with_table( cchs2007_2008_p, c( "DHHGAGE_cont", "CCC_91E", "CCC_91F", "COPD_Emph_der" ) ))#>#>#>#> CCC_91E CCC_91F DHHGAGE_cont COPD_Emph_der #> 195 2 2 62 3 #> 196 2 2 37 3 #> 197 2 2 77 3 #> 198 2 2 42 3 #> 199 2 2 32 3 #> 200 2 2 72 3#> CCC_91E CCC_91F DHHGAGE_cont COPD_Emph_der #> 1 NA(a) NA(a) 27 NA(a) #> 2 2 2 77 3 #> 3 2 2 32 3 #> 4 2 2 77 3 #> 5 2 2 85 3 #> 6 NA(a) NA(a) 13 NA(a)#> CCC_91E CCC_91F DHHGAGE_cont COPD_Emph_der #> 395 2 2 62 3 #> 396 2 2 37 3 #> 397 2 2 77 3 #> 398 2 2 42 3 #> 399 2 2 32 3 #> 400 2 2 72 3