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Hi there,
I am using ods excel along with proc report. Is there a way to achieve this using ods excel.
The equivalent of excel is here. (In excel select columns that need to be grouped, then go to DATA menu and then group sub menu.
Thanks in advance
RP
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Please help me with error: Error: The connection could not be established to a SAS Workspace Server named 'Local' running on port on host 'localhost'. Please verify the following: - The correct hostname and port number were specified. - If a firewall is present, it is correctly configured to allow this access. - An object spawner has been started on the server. - The SETINIT on the server is not expired. Please contact your SAS Administrator if the problem persists. Server response: Server execution failed
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I write one macro which works fine to split data into 2-subgroups.
Logic is 1) sort by target var 2) based on weight/wt, split into 2 subgroups.
BUT how to split into N-Subgroups with N as a parameter, say N=3 or 7?!
%macro bisect(ds, byvar, cutvar, note);
proc sort data=&ds.; by &byvar.; run;quit;
data &ds.;
set &ds.;
retain wt_sum;
wt_sum=coalesce(wt_sum,0)+&cutvar.;
run;quit;
data &ds.(drop=wt_sum);
set &ds.;
if wt_sum<=50 then ¬e.=1;
else ¬e.=0;
run;quit;
%mend;
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I've been looking for a good, efficient method to create "Table 1", which has a more or less standard format in research journals:
Variable Name
Category 1
Category 2
P-value
Variable 1
1
N(%)
N(%)
Chi-sq or Fisher's
2
N(%)
N(%)
3
N(%)
N(%)
Variable 2
Mean (SD)
Mean (SD)
t-test
Median (IQR)
Median (IQR)
I found this PDF paper. It seems to work pretty well, but I'm having 2 issues. The first is that the chi-square results are saved into a file and then merged into the main file. But the value of the "variable" variable is the var label in 1 file and the var name in the other, so they don't merge.
The second issue is that Proc Report does not produce a table and instead gives me this: NOTE: Groups are not created because the usage of levels is DISPLAY. To avoid this note, change all GROUP variables to ORDER variables.
WARNING: A GROUP, ORDER, or ACROSS variable is missing on every observation.
data have;
infile datalines dsd dlm=',' truncover;
input DEM_AGE DEM_SEX cohort_flag TM_group;
datalines;
3,1,1,0
2,1,1,1
3,2,1,1
3,2,1,1
3,2,1,0
2,2,1,1
2,1,1,1
3,1,1,1
2,1,1,1
3,2,1,0
2,1,1,0
2,2,1,1
3,2,1,0
2,2,0,
3,2,1,1
3,2,1,1
3,1,1,0
3,2,1,0
2,1,1,0
3,1,1,1
3,2,1,1
3,2,1,0
3,2,1,1
3,2,1,1
3,2,1,1
; RUN;
/*Load formats from existing file in temp folder*/
options fmtsearch=(temp.formats);
/*DEM_SEX sex 1 Male 2 Female*/
/*DEM_AGE AGE2GRP 1:Age Group <65 2:Age Group [65,75) 3:Age Group >=75*/
/*TM_group yesno 1 Yes 2 No*/
/*Generate descriptive statistics*/
proc means data = temp.have noprint n sum mean;
class DEM_AGE DEM_SEX;
var TM_group /*MA_group*/;
ways 1;
output out = temp.expl_PreTable n =
sum =
mean = / autoname;
WHERE cohort_flag = 1;
run;
/*Format descriptive stats*/
data temp.expl_Table (keep = variable levels TM_group_N TM_group_sum
TM_group_mean pct ExpPct indexvar); set temp.expl_PreTable;
length variable $ 20; /* These four variables */;
length levels $ 20; /* will describe the first */;
length pct $ 8; /* four columns of the table */;
length ExpPct $ 15;
if DEM_AGE ne . then do; /*Building "variable" and "Levels" columns for "DEM_AGE"*/;
variable = 'Age category';
levels = put(DEM_AGE, age2grp.);
IndexVar = 1; /*This index is included just in case the order of data presentation needs to be changed*/;
end;
if DEM_SEX ne . then do; /*Building "variable" and "Levels" columns for "DEM_SEX"*/;
variable = 'Sex';
levels = put(DEM_SEX,sex.);
IndexVar = 2;
end;
pct = put(TM_group_mean*100,4.1); /*Calculate % exposed */;
ExpPct = compress(put(TM_group_sum,comma4.),' ')
||' '||'('||compress(pct,' ')||')'; /*creating data in the form of "count (%)" */;
run;
/*Run chi-square significance tests and use ODS to create a dataset of these results*/
ods trace on;
ods output chisq = temp.expl_ChiData;
proc freq data = temp.have;
table TM_group*DEM_AGE / chisq;
table TM_group*DEM_SEX / chisq;
WHERE cohort_flag = 1;
run;
ods trace off;
/*Rearrange chi-square dataset so it can be merged with descriptive stats table*/
data temp.expl_ChiData2 (keep = variable prob);
set temp.expl_ChiData (where = (statistic = 'Chi-Square'));
length variable $ 20;
variable = scan(table,-1,' '); /* Returns the last word in a character value from the "table" variable*/
run;
/*Sort both tables so they will merge*/
PROC SORT data=temp.expl_Table OUT=temp.expl_Table_sort; BY variable; RUN;
PROC SORT data=temp.expl_ChiData2 OUT=temp.expl_ChiData2_sort; BY variable; RUN;
/**************MERGE DOES NOT WORK BECAUSE The value of the "variable" variable is the var label in 1 file
and the var name in the other. DUE TO THE 'IF a' STATEMENT, NOTHING FROM THE CHIDATA2 FILE IS MERGED IN****/
/*Merge descriptive stats table with chi-square table*/
DATA temp.expl_TableData;
MERGE temp.expl_Table_sort (in = a) temp.expl_ChiData2_sort (in = b);
BY variable;
IF a;
RUN;
/*Use PROC REPORT to create final output table*/
proc report data = temp.expl_TableData nowd;
column variable levels TM_group_N ExpPct prob;
define variable / "Variable" group format = $variable.;
define levels / " " ;
define TM_group_N / "TM" /*format = comma5.*/;
define ExpPct / "TM Group/n (%)";
define prob / "p-value" group format = pvalue6.4;
Title "Table 1. Descriptive characteristics of individuals in the sample";
RUN;
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