In SAS proc corr, I want the output to show only Pearson Correlation Coefficient.
By default, the output also shows the following :- Prob > |r| under H0: Rho=0 and Number of observations. How do I do this? Thanks for your help.
I would output a dataset and then proc print or report or whatnot that dataset.
proc corr data=sashelp.class out=corrcoeff(where=(_type_='CORR');
var age height weight;
run;
Related
I'm trying to export quartile information on a grouped dataset as a dataset in SAS but when I run this code my output is a table with the correct information displayed but the dataset WORK.TOP_1O_PERC is only summary statistics of the set (no quartiles). Does anyone know how I can export this as the CLASS (PDX) and its 25th and 75th percentiles? Thanks!
PROC MEANS DATA=WORK.TOP_10_DX P25 P75;
CLASS PDX;
VAR AmtPaid;
OUTPUT OUT = WORK.TOP_10_PERC;
RUN;
I like the STACKODS output that is a data set which is like the default printed output.
proc means data=sashelp.class n p25 p75 stackods;
ods output summary=summary;
run;
proc print;
run;
You can use output statement with <statistics>= options.
PROC MEANS DATA=WORK.TOP_10_DX NOPRINT;
CLASS PDX;
VAR AmtPaid;
OUTPUT OUT = WORK.TOP_10_PERC P25=P25 P75=P75;
RUN;
Compared to ods output, output statement is much faster but less flexible with multiple analysis variables or by statement specified situation.
I am brand new to SAS . I'm trying to create dummy variables in SAS and run regression. After doing some research, I put the following codes together, but the results are showing 0 for a few Col. Does anyone know how to fix this? Thanks !
proc glmmod data = Work.Cost outdesign= GLMDesign outparm=GLMParm;
class sex age Membership; model amount=sex age ;
run;
proc print data=GLMDesign ; run; proc print data=GLMParm ; run;
proc reg data=GLMDesign; DummyVars: model amount = COL1-COL69; ods select ParameterEstimates;
quit;
I am looking to have SAS calculated the predicted R-squared value using PROC REG.
You mean the R-Square? It's very easy to get.
ods output FitStatistics = FitStatistics;
proc reg data = sashelp.class;
model height = age;
quit;
ods output close;
The R-Square is located at data set FitStatistics.
I have the following statement
Proc Freq data =test;
tables gender;
run;
I want this to generate an output based on a condition applied to the gender variable. For example - if count of gender greater than 2 then output.
How can I do this in SAS?
Thanks
If you mean an output dataset, you can put a where clause directly in the output dataset options.
Proc Freq data =sashelp.class;
tables sex/out=sex_freq(where=(count>9));
run;
I'm not aware of how you can accomplish this only using proc freq but you can redirect the output to a data set and then print the results.
proc freq data=test;
tables gender / noprint out=tmp;
run;
proc print data=tmp;
where count > 2;
run;
Alternatively you could use proc summary, but this still requires two steps.
proc summary data=test nway;
class gender;
output out=tmp(where=(_freq_ > 2));
run;
proc print data=tmp;
run;
I am trying to carry out a logistic regression with SAS. I have few settings for the model, and try to compare the difference.
What I want to archieve is to output the estimated coefficients to a file. I think ODS maybe a promising way, but don't know how to use it.
Can anyone write me a simple example?
Thank you very much.
To add a bit of additional color; ODS OUTPUT <NAME>=DATASET ... ; will save the output into the specified dataset.
Use ODS TRACE get the names of output tables. Information on the tables will be written to the log.
ods trace on;
ods output ParameterEstimates=estimates;
proc logistic data=test;
model y = i;
run;
ods trace off;
For Logistic:
proc logistic data = in descending outest = out;
class rank / param=ref ;
model admit = gre gpa rank;
run;
For proc reg:
proc reg data=a;
model y z=x1 x2;
output out=b
run;
for proc glm:
ods output Solution=parameters FitStatistics=fit;
proc glm data=hers;
model glucose = exercise ;
quit;
run;
for proc reg this doesn't work for me
Use proc reg OUTEST=b
proc reg data=a outest=b;
model y=x1;
run;
other reg can get other parameters added to OUTEST.