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generate dummy variables based on the input vector(s) binary parameters (true = 1 and false = 0). If the observation of one of the input parameter was true, that observation's newly generated dummy variable will return as true (1). And, if all input parameters were false, the return will be false (0).

Usage

get_dummy(var_list = NULL)

Arguments

var_list

list of food consumption variables

Value

the vector with "0" and "1" binary result.

Author

Nicholus Tint Zaw

Examples


# Individual Food Group Variable Construction

 df <- iycfData

# Individual Food Group Specific Function
 breastmilk <- get_dummy(var_list = list(df$child_bfyest))

 grains <- get_dummy(var_list = list(df$child_rice, df$child_potatoes))

 pulses <- get_dummy(var_list = list(df$child_beans))

 dairy_list <- list(df$child_bms, df$child_milk,
                    df$child_mproduct, df$child_yogurt,
                    df$child_yogurt)

 dairy <- get_dummy(var_list = dairy_list)

 meat_list <- list(df$child_organ, df$child_insects,
                   df$child_beef, df$child_fish)

 meat <- get_dummy(var_list = meat_list)

 eggs <- get_dummy(var_list = list(df$child_eggs))

 vita_fruveg_list <- list(df$child_pumpkin,
                          df$child_leafyveg,
                          df$child_mango)

 vita_fruveg <- get_dummy(var_list = vita_fruveg_list)

 oth_fruveg <- get_dummy(var_list = list(df$child_fruit, df$child_fruit))