Hello folks, I am working on a project which requires me to grab multiple data files (from 2001 to 2016, each year has a separate data file). The workflow is:
run commands using each data file,
then save the final data,
Open another data file,
run commands and save the final data.
Ideally I want to append all the final data from each data files in one big data file. To make myself clear, below is the command that I have to run for the first (2001) data file:
By now, I have to save the final data into a new separate data file. Then, I need to open the next file (2002) and repeat all the above commands. Instead of copying and pasting codes for each year, is there a faster way I can achieve this? I never used global or macro before and so if anyone could give me some advice on how to do this, that'd be very appreciated!!
run commands using each data file,
then save the final data,
Open another data file,
run commands and save the final data.
Ideally I want to append all the final data from each data files in one big data file. To make myself clear, below is the command that I have to run for the first (2001) data file:
Code:
use "/Volumes/MY DRIVE/dct_s2001_f.dta", clear keep if arank >=1 & arank <= 5 egen fptot = rowtotal(staff15 staff16) if arank == 1 egen asptot = rowtotal(staff15 staff16) if arank == 2 egen aptot = rowtotal(staff15 staff16) if arank == 3 rename fptot tot1 rename asptot tot2 rename aptot tot3 forval i = 1/3{ gen pct_`i'_nral_m = staff01/tot`i' gen pct_`i'_nral_f = staff02/tot`i' gen pct_`i'_bl_m = staff03/tot`i' gen pct_`i'_bl_f = staff04/tot`i' gen pct_`i'_ap_m = staff07/tot`i' gen pct_`i'_ap_f = staff08/tot`i' gen pct_`i'_hs_m = staff09/tot`i' gen pct_`i'_hs_f = staff10/tot`i' gen pct_`i'_wh_m = staff11/tot`i' gen pct_`i'_wh_f = staff12/tot`i' } collapse (last) staff01 staff02 staff03 staff04 staff07 staff08 staff09 staff10 staff11 staff12 staff15 staff16 /// (firstnm) pct_1_nral_m pct_1_nral_f pct_1_bl_m pct_1_bl_f pct_1_ap_m pct_1_ap_f pct_1_hs_m pct_1_hs_f pct_1_wh_m pct_1_wh_f /// pct_2_nral_m pct_2_nral_f pct_2_bl_m pct_2_bl_f pct_2_ap_m pct_2_ap_f pct_2_hs_m pct_2_hs_f pct_2_wh_m pct_2_wh_f /// pct_3_nral_m pct_3_nral_f pct_3_bl_m pct_3_bl_f pct_3_ap_m pct_3_ap_f pct_3_hs_m pct_3_hs_f pct_3_wh_m pct_3_wh_f /// pct_aapi_fp pct_aapi_ap /// , by(unitid)
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