Dear all,
I currently have this data
I would like to create a variable = mobility for each ID which can take
-the value of 1 if mobility_1 = 1 if timefromop = prep
-Value of 2 if mobility_2 = 1 if timefromop = prep
-Values of 3 if mobility_3 = 1 if timefromop = prep
-A value of missing if all mobility* = 0
Therefore I can then calculate a total mobility score for just preop for each id at each timeop point
i.e for postop at 30 days, 6 months and 12 months
I’m not sure if I explained this clearly but I’ve created a draft dataset of what I think it should look like
Appreciate if you can help me solve the problem in terms of how I should best sort out the dataset
Should I just keep preop values, work on this dataset with code and repeat for different time periods followed by append the datasets?
I currently have this data
I would like to create a variable = mobility for each ID which can take
-the value of 1 if mobility_1 = 1 if timefromop = prep
-Value of 2 if mobility_2 = 1 if timefromop = prep
-Values of 3 if mobility_3 = 1 if timefromop = prep
-A value of missing if all mobility* = 0
Therefore I can then calculate a total mobility score for just preop for each id at each timeop point
i.e for postop at 30 days, 6 months and 12 months
Code:
* Example generated by -dataex-. For more info, type help dataex clear input int form float timefromop str11 id byte(sex age mobility___1 mobility___2 mobility___3 selfcare___1 selfcare___2 selfcare___3) 1 1 "66607102" 0 . 0 1 0 1 0 0 1 3 "" . . 0 0 0 0 0 0 2 1 "159309038" 0 . 0 1 0 0 1 0 3 1 "19305580" 1 . 0 1 0 1 0 0 3 3 "" . . 0 0 0 0 0 0 4 1 "104252077" 0 . 0 1 0 1 0 0 5 1 "172656787" 1 . 0 1 0 1 0 0 6 1 "68009893" 0 . 0 1 0 1 0 0 6 3 "" . . 0 1 0 1 0 0 7 1 "56151137" 0 . 0 1 0 1 0 0 8 1 "87923470" 0 . 0 1 0 0 1 0 9 1 "58882663" 0 . 0 1 0 1 0 0 10 1 "149272395" 1 . 0 1 0 1 0 0 11 1 "67013300" 0 . 1 0 0 1 0 0 12 1 "51911287" 0 . 0 1 0 1 0 0 end label values timefromop r10 label def r10 1 "preop", modify label def r10 3 "postop6M", modify
I’m not sure if I explained this clearly but I’ve created a draft dataset of what I think it should look like
Code:
* Example generated by -dataex-. For more info, type help dataex clear input float(timefromop id mobility) 1 66607104 2 2 66607104 . . 66607104 . 1 15930938 2 end label values timefromop r0 label def r0 1 "preop", modify label def r0 2 "postop30days", modify
Appreciate if you can help me solve the problem in terms of how I should best sort out the dataset
Should I just keep preop values, work on this dataset with code and repeat for different time periods followed by append the datasets?
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