I have a dataset that has patient data according to the site they visited our mobile clinic. I have now written up a series of commands such as freqs and crosstabs to produce the analyses I need, however I would like this to be done for patients at each site, rather than the dataset as whole.
If I had only one site, a mere filter command with the variable that specifies a patient’s site would suffice, but alas I have 19 sites, so I would like to find a way to loop through my code to produce these outputs for each site. That is to say for i in 1 to 19:
1. Take the i th site
2. Compute a filter for this i th site
3. Run the tables using this filtered data of patients at ith site
Here is my first attempt using DO REPEA. I also tried using LOOP earler.
However it does not work I keep getting an error even though these are closed loops.
Is there a way to do this in SPSS syntax? Bear in mind I do not know Python well enough to do this using that plugin.
*LOOP #ind= 1 TO 19 BY 1.
DO REPEAT #ind= 1 TO 20.
****8888888888888888888888888888888888888888888888888888888 Select the Site here.
COMPUTE filter_site=(RCDSITE=#ind).
USE ALL.
FILTER BY filter_site.
**********************Step 3: Apply the necessary code for tables
*********Participation in the wellness screening, we actually do not care about those who did FP as we are not reporting it.
COUNT BIO= CheckB (1).
* COUNT FPS=CheckF(1).
* COUNT BnF= CheckB CheckF(1).
VAL LABEL BIO
1 ' Has the Wellness screening'
0 'Does not have the wellness screening'.
*VAL LABEL FPS
1 'Has the First patient survey'.
* VAL LABEL BnF
1 'Has either Wellness or FPS'
2 'Has both surveys done'.
FREQ BIO.
*************************Use simple math to calcuate those who only did the Wellness/First Patient survey FUB= F+B -FnB.
*******************************************************Executive Summary.
***********Blood Pressure.
FREQ BP.
*******************BMI.
FREQ BMI.
******************Waist Circumference.
FREQ OBESITY.
******************Glucose.
FREQ GLUCOSE.
*******************Cholesterol.
FREQ TC.
************************ Heamoglobin.
FREQ HAEMOGLOBIN.
*********************HIV.
FREQ HIV.
******************************************************************************I Lifestyle and General Health.
MISSING VALUES Gender GroupDep B8 to B13 ('').
******************Graphs 3.1
Is this just Frequencies you are producing? Try the SPLIT procedure by the variable RCDSITE. Should be enough.