Hi,   You can create a table for each purpose using PROC FREQ and PROC MEANS, and then join them with PROC SQL. You also need to create formats.    * I have the data set adsl in this path; libname a "C:\Users\jenri\Downloads"; * Defining formats; proc format lib=work; value gender 1 = Male 2 = Female ; value race 1 = White 2 = Black 3 = Other ; value treatment 1 = Active 0 = Placebo ; run; * Applying formats to the data set ; proc datasets lib=a; modify adsl; format gender gender. race race. trt treatment.; quit; * Sorting by treatment; proc sort data=a.adsl out=a.adsl; by trt; run; * Statistics ; proc means data=a.adsl n mean std min max; by trt; var age; output out=work.means1; run; proc means data=a.adsl n mean std min max; var age; output out=work.means2; run; * Frequencies; proc freq data=a.adsl; table trt*gender/out=work.freq1 nocol nopercent; run; proc freq data=a.adsl; table gender/out=work.freq2 ; run; proc freq data=a.adsl; table trt*race/out=work.freq3 nocol nopercent; run; proc freq data=a.adsl; table race/out=work.freq4 ; run;   I hope this is useful for you.     ... View more

Hi,   If you want to change numbers in character variables to numbers in numeric variables, it could be necessary to use the input funcion. Here you have an example: data work.test; x1='101,001.23'; x2='1,001.00'; x3='1.23'; run; data work.test2(keep=y); set work.test; array a[3] $x1-x3; do i = 1 to 3; y = input(a[i],comma10.2); output; end; run; I hope that this is helpful.       ... View more

Hi,    You can use the Autoreg procedure or the Model procedure. Here are some examples: https://support.sas.com/rnd/app/ets/examples/garchex/index.html    Hope that this can help.   ... View more

Hi,    You can use another nice procedure to identify outliers, the Univariate procedure. It can save the outliers in a data set and also the statistics to determine the outliers. I share you an example and links to the documentation. https://documentation.sas.com/?cdcId=pgmsascdc&cdcVersion=9.4_3.4&docsetId=procstat&docsetTarget=procstat_univariate_odstables.htm&locale=es    https://documentation.sas.com/?cdcId=pgmsascdc&cdcVersion=9.4_3.4&docsetId=procstat&docsetTarget=procstat_univariate_details84.htm&locale=es    ods output ExtremeObs=outliers; proc univariate data=sashelp.class outtable=work.all ; var Height age; run; Hope that this can help you. ... View more

Hi Raych,   The reason could be how the beta distribution is written in SAS and SPSS. In fact, you can find more than one expression in probability and actuarial science books for this probability distribution. Please, check this site CDF BETA Distribution Function to discover what parameters are being estimated in SAS.   Enrique ... View more