Vigmin = the number minutes someone participated in vigorous activity in a week
Modmin = the number minutes someone participated in moderate activity in a week
“.” = the period is treated as 0 minutes of activity, so any “.” should equal “poor(3).
Desired categories for the new categorical variable:
Ideal(1) = 150 minutes or greater of moderate physical activity per week, or 75 minutes or greater of vigorous activity per week
Intermediate(2) = 1 – 149 minutes of moderate physical activity per week, or 1 - 74 minutes of vigorous activity per week
Poor(3) = 0 minutes of activity
This is the syntax that I tried; I did not get an error, but the numbers in my output were not accurate. Should I be using different syntax?
gen idealPA=0
replace idealPA=1 if (modmin >=150) | (vigmin >=75)
replace idealPA=2 if (modmin >=1) & (modmin <=149)
replace idealPA=2 if (vigmin >=1) & (vigmin <=74)
replace idealPA=3 if (modmin==.) | (vigmin==.)
label define idealPA 1 "ideal" 2 "intermediate" 3 "Poor"
label value idealPA idealPA
ta idealPA RCTgroup, row col chi
(example data from Dataex)
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(modmin vigmin) 105 50 . . 60 . 180 30 20 . 60 . 60 . 30 . 90 . . . . . 180 . 60 . 60 . 180 . . . 90 20 60 . 15 15 30 . 60 . 60 . 120 . 40 . 60 180 45 . . . 10 . 90 . 60 20 30 35 40 . 30 60 60 30 180 105 25 . 180 60 60 120 120 30 120 . . 10 120 . 120 120 40 180 60 30 180 . 180 20 60 . 25 . 180 30 30 . 60 60 30 . . . 150 . 10 180 . . 20 15 120 . 30 . 90 10 180 . 60 . 30 30 . 10 30 . 30 180 30 . 60 . 90 90 60 10 20 10 20 15 45 60 25 . 180 . 60 120 120 90 15 . 15 . 15 10 180 60 . . . . 30 . . . 75 . . . . . 10 . 10 . . . . . . . 20 10 10 . . . . . 25 . . . end
Thanks in advance for any assistance.
0 Response to recode two continuous variables into one categorical(3 categories) variable
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