data conv; input c1-c16 @@; cards; 70 60 89 81 69 62 88 81 60 49 88 60 59 52 86 79 ; options mrecall; %macro yates(data,kk,n,method); options MPRINT SYMBOLGEN MLOGIC ; proc datasets; delete yates; run;
%MACRO keeper; keep %do i=0 %to &kk+1; step&i %end; %MEND; *DATA IS READ INTO c1-c&n; data yates; set &data; %keeper; *DEFINE COLUMN ARRAYS, ONE ADDITIONAL COLUMN FOR YATES STDZ EFECT IS ALLOWED FOR; array s0(*) c1-c&n; %do i=1 %to &kk+1; array s&i(&n); /* %put "Debug1 " &i &n; */ %end; *SET COLUMN ARRAYS TO ZERO s0 = input data; %do j=1 %to &n; %do i=1 %to &kk+1; s&i[&j]=0; /* %put "Debug2 " &i &j; */ %end; %end; *FILL IN KK COLUMNS USING YATES ALGORITHM; %do p = 0 %to (&kk-1) %by 1; %let q=%eval(&p+1); *fill in upper 1/2 of each column; %do i = 1 %to &n/2 %by 1; %let j=%eval(2*&i); s&q[&i] = s&p[&j-1]+s&p[&j]; *fill in lower 1/2 of each column; %let k=%eval(&n/2+&i); s&q[&k] = -s&p[&j-1]+s&p[&j]; /* %put "Debug3 " &i &j &k; */ %end; *i; %end; *p; *COMPUTE YATES STDZ EFFECT; %let q=%eval(&kk+1); %do i=1 %to &n %by 1; %if %upcase(&method)=DEJ %then %do; s&q[&i]=s&kk[&i]/sqrt(&n); %end; %if %upcase(&method)=BOX %then %do; divisor=&n; %if &i>1 %then %do; divisor=&n/2; %end; s&q[&i]=s&kk[&i]/divisor; %end; %if %upcase(&method)=MGH %then %do; divisor=&n; %if &i>1 %then %do; divisor=&n/2; %end; s&q[&i]=s&kk[&i]/divisor; %end; %if %upcase(&method)=OEH %then %do; s&q[&i]=s&kk[&i]/(2**&kk); %end; %if %upcase(&method)=HICKS %then %do; divisor=&n/2; s&q[&i]=s&kk[&i]/divisor; %end; *final column = coefficient in ANOVA; /* %put "Debug4 " &i &q; */ %end; *OUTPUT RESULTS; %do j = 1 %to &n; %do i = 0 %to &kk+1 %by 1; step&i=s&i[&j]; %put step&i s&i[&j]; %end; output; %end; run; title "YATES ANALYSIS USING &method Method and dataset &data"; options ls=120; proc print data=yates; run; quit; title; options ls=79; %mend yates; %yates(conv,4,16,DEJ);
It was the comment statements. They are different in SAS macro code. Thank you. Mary Marion
%macro yates(data,kk,n,method);
options mrecall;
/*
YATES ALGORITHM TO COMPUTE EFFECTS
data = input data set which can not have the name of yates.
see example at end for read in.
kk = power of 2 = number of steps in the Yates Computations
n = length of data array = 2^kk
Only DEJ method is giving standardized effects. The other methods
produce results that can help identify significant effects in a half normal plot,
but they would not allow you to estimate sigma when you re-plot after removing
the significant effects. Only DEJ method allows that.
*/
options MPRINT SYMBOLGEN MLOGIC ;
proc delete data=yates; run; quit;
%MACRO keeper;
keep %do i=0 %to &kk+1; step&i %end;
%MEND;
/* DATA IS READ INTO c1-c&n */
data yates; set &data;
%keeper;
/* DEFINE COLUMN ARRAYS, ONE ADDITIONAL COLUMN FOR YATES STDZ EFFECT IS ALLOWED FOR */
array s0(*) c1-c&n;
%do i=1 %to &kk+1;
array s&i(&n);
/* %put "Debug1 " &i &n; */
%end;
/* SET COLUMN ARRAYS TO ZERO s0 = input data */
%do j=1 %to &n;
%do i=1 %to &kk+1;
s&i[&j]=0;
/* %put "Debug2 " &i &j; */
%end;
%end;
/* FILL IN KK COLUMNS USING YATES ALGORITHM */
%do p = 0 %to (&kk-1) %by 1;
%let q=%eval(&p+1);
*fill in upper 1/2 of each column;
%do i = 1 %to &n/2 %by 1;
%let j=%eval(2*&i);
s&q[&i] = s&p[&j-1]+s&p[&j];
*fill in lower 1/2 of each column;
%let k=%eval(&n/2+&i);
s&q[&k] = -s&p[&j-1]+s&p[&j];
/* %put "Debug3 " &i &j &k; */
%end; *i;
%end; *p;
/* COMPUTE YATES STDZ EFFECT
METHOD DIVISOR
********************************************************
DEJ sqrt(n) for each effect
BOX n for first effect, n/2 for all other effects
MGH n for first effect, n/2 for all other effects
OEH n for all effects
HICKS n/2 for all effects
*********************************************************
*/
%let q=%eval(&kk+1);
%do i=1 %to &n %by 1;
divisor=sqrt(&n);
%if %upcase(&method)=DEJ %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=&n;
%if %upcase(&method)=BOX %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
%if &i>1 %then %do;
divisor=&n/2;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=(2**&kk);
%if %upcase(&method)=OEH %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=&n/2;
%if %upcase(&method)=HICKS %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
%if %upcase(&method)=MGH %then %do;
divisor=&n/2;
s&q[&i]=s&kk[&i]/divisor; %end;
%if &i>1 %then %do;
divisor=&n/2;
%end;
/* final column = coefficient in ANOVA */
/* %put "Debug4 " &i &q; */
%end;
*OUTPUT RESULTS;
%do j = 1 %to &n;
%do i = 0 %to &kk+1 %by 1;
step&i=s&i[&j];
%put step&i s&i[&j];
%end;
output;
%end;
run;
title "YATES ANALYSIS USING &method Method and dataset &data";
options ls=120;
proc print data=yates;
run; quit; title;
options ls=79;
%mend yates;
What is the actual question.
Which PRINT are you talking about?
What is "extra output"?
Are you asking about the OBS= dataset option?
I just mentioned nofs because I saw something about it online.
The print I am talking about is as follows:
title "YATES ANALYSIS USING &method Method and dataset &data";
options ls=120;
proc print; run; quit; title;
options ls=79;
%mend yates2;
See attached file for extra output.
The extra output is: (how can I stop this?)
| Directory |
Libref | WORK |
Engine | V9 |
Physical Name | /saswork/SAS_work526D00009A9A_odaws02-usw2-2.oda.sas.com/SAS_work24D000009A9A_odaws02-usw2-2.oda.sas.com |
Filename | /saswork/SAS_work526D00009A9A_odaws02-usw2-2.oda.sas.com/SAS_work24D000009A9A_odaws02-usw2-2.oda.sas.com |
lnode Number | 1811942765 |
Access Permission | rwx------ |
Owner Name | u63727585 |
File Size | 4KB |
File Size (bytes) | 4096 |
# | Name | Member Type | File Size | Last Modified |
1 | CONV | DATA | 256KB | 02/23/2024 21 :37:07 |
2 | REGSTRY | ITEMSTOR | 32KB | 02/23/2024 21 :34: 15 |
3 | SASGOPT | CATALOG | 12KB | 02/23/2024 21 :34: 15 |
4 | SASMAC1 | CATALOG | 224KB | 02/23/2024 21 :54:13 |
5 | SASMAC2 | CATALOG | 20KB | 02/23/2024 21 :34:15 |
6 | SASMAC3 | CATALOG | 20KB | 02/23/2024 21 :34:15 |
7 | SASMAC4 | CATALOG | 20KB | 02/23/2024 21 :54:13 |
8 | SASMAC5 | CATALOG | 20KB | 02/23/2024 21 :34:15 |
9 | SASMAC6 | CATALOG | 20KB | 02/23/2024 21 :34:15 |
10 | SASMAC7 | CATALOG | 20KB | 02/23/2024 21:34:15 |
11 | SASMAC8 | CATALOG | 20KB | 02/23/2024 21 :34:15 |
12 | SASMAC9 | CATALOG | 20KB | 02/23/2024 21 :34:15 |
13 | SASMACR | CATALOG | 20KB | 02/23/2024 21 :53:59 |
14 | YATES | DATA | 256KB | 02/23/2024 21 :43:24 |
Expected output is: YATES ANALYSIS USING DEJ Method and dataset conv |
Obs | step0 | step1 | step2 | step3 | step4 | step5 |
1 | 70 | 130 | 300 | 600 | 1156 | 289.00 |
2 | 60 | 170 | 300 | 556 | -64 | -8.00 |
3 | 89 | 131 | 279 | -32 | 192 | 24.00 |
4 | 81 | 169 | 277 | -32 | 8 | 1.00 |
5 | 69 | 109 | -18 | 78 | -2 | -0.25 |
6 | 62 | 170 | .14 | 114 | 6 | 0.75 |
7 | 88 | 112 | -17 | 2 | -10 | -1.25 |
8 | 81 | 165 | -15 | 6 | -6 | -0.75 |
9 | 60 | -10 | 40 | 0 | -44 | -5.50 |
10 | 49 | -8 | 38 | -2 | 0 | 0.00 |
11 | 88 | .7 | 61 | 4 | 36 | 4.50 |
12 | 82 | .7 | 53 | 2 | 4 | 0.50 |
13 | 60 | .11 | 2 | -2 | -2 | -0.25 |
14 | 52 | -6 | 0 | -8 | -2 | -0.25 |
15 | 86 | -8 | 5 | -2 | -6 | -0.75 |
16 | 79 | .7 | 1 | -4 | -2 | -0.25 |
That is not from the PRINT.
That is from some early step.
Probably from using PROC DATASETS.
Use the right tool for the job instead.
proc delete data=yates; run;
PROC DELETE will run much faster than PROC DATASETS (since it isn't trying to do anything else).
If you really need to use PROC DATASETS then add the NOLIST option do suppress the noise it spams you with.
proc datasets nolist lib=work; delete yates; run;
it is something else. Maybe some other statement is causing the problem?
Mary Marion
%macro yates(data,kk,n,method);
options mrecall;
/*
YATES ALGORITHM TO COMPUTE EFFECTS
data = input data set which can not have the name of yates.
see example at end for read in.
kk = power of 2 = number of steps in the Yates Computations
n = length of data array = 2^kk
Only DEJ method is giving standardized effects. The other methods
produce results that can help identify significant effects in a half normal plot,
but they would not allow you to estimate sigma when you re-plot after removing
the significant effects. Only DEJ method allows that.
DEJ Dallas E. Johnson Analysis of Messy Data Volume 2: Nonreplicated Experiments
MGH Mason, Gunst and Hess Statistical Design and Analysis of Experiments, page 131
BOX Box,Hunter and Hunter Statistics for Experimenters, page 322
OEH Oehlert A First Course in Design and Analysis of Experiments (2000)
HICKS Hicks and Turner Fundamental Concepts in the Design of Experiments, page 349
*/
options MPRINT SYMBOLGEN MLOGIC ;
proc delete data=yates; run; quit;
%MACRO keeper;
keep %do i=0 %to &kk+1; step&i %end;
%MEND;
*DATA IS READ INTO c1-c&n;
data yates; set &data;
%keeper;
*DEFINE COLUMN ARRAYS, ONE ADDITIONAL COLUMN FOR YATES STDZ EFECT IS ALLOWED FOR;
array s0(*) c1-c&n;
%do i=1 %to &kk+1;
array s&i(&n);
/* %put "Debug1 " &i &n; */
%end;
*SET COLUMN ARRAYS TO ZERO s0 = input data;
%do j=1 %to &n;
%do i=1 %to &kk+1;
s&i[&j]=0;
/* %put "Debug2 " &i &j; */
%end;
%end;
*FILL IN KK COLUMNS USING YATES ALGORITHM;
%do p = 0 %to (&kk-1) %by 1;
%let q=%eval(&p+1);
*fill in upper 1/2 of each column;
%do i = 1 %to &n/2 %by 1;
%let j=%eval(2*&i);
s&q[&i] = s&p[&j-1]+s&p[&j];
*fill in lower 1/2 of each column;
%let k=%eval(&n/2+&i);
s&q[&k] = -s&p[&j-1]+s&p[&j];
/* %put "Debug3 " &i &j &k; */
%end; *i;
%end; *p;
*COMPUTE YATES STDZ EFFECT;
/* ******************************************************
* METHOD DIVISOR
*********************************************************
* DEJ sqrt(n) for each effect
* BOX n for first effect, n/2 for all other effects
* MGH n for first effect, n/2 for all other effects
* OEH n for all effects
* HICKS n/2 for all effects
******************************************************* */
%let q=%eval(&kk+1);
%do i=1 %to &n %by 1;
divisor=sqrt(&n);
%if %upcase(&method)=DEJ %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=&n;
%if %upcase(&method)=BOX %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
%if &i>1 %then %do;
divisor=&n/2;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=(2**&kk);
%if %upcase(&method)=OEH %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=&n/2;
%if %upcase(&method)=HICKS %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
%if %upcase(&method)=MGH %then %do;
divisor=&n/2;
s&q[&i]=s&kk[&i]/divisor; %end;
%if &i>1 %then %do;
divisor=&n/2;
%end;
*final column = coefficient in ANOVA;
/* %put "Debug4 " &i &q; */
%end;
*OUTPUT RESULTS;
%do j = 1 %to &n;
%do i = 0 %to &kk+1 %by 1;
step&i=s&i[&j];
%put step&i s&i[&j];
%end;
output;
%end;
run;
title "YATES ANALYSIS USING &method Method and dataset &data";
options ls=120;
proc print data=yates;
run; quit; title;
options ls=79;
%mend yates;
It was the comment statements. They are different in SAS macro code. Thank you. Mary Marion
%macro yates(data,kk,n,method);
options mrecall;
/*
YATES ALGORITHM TO COMPUTE EFFECTS
data = input data set which can not have the name of yates.
see example at end for read in.
kk = power of 2 = number of steps in the Yates Computations
n = length of data array = 2^kk
Only DEJ method is giving standardized effects. The other methods
produce results that can help identify significant effects in a half normal plot,
but they would not allow you to estimate sigma when you re-plot after removing
the significant effects. Only DEJ method allows that.
*/
options MPRINT SYMBOLGEN MLOGIC ;
proc delete data=yates; run; quit;
%MACRO keeper;
keep %do i=0 %to &kk+1; step&i %end;
%MEND;
/* DATA IS READ INTO c1-c&n */
data yates; set &data;
%keeper;
/* DEFINE COLUMN ARRAYS, ONE ADDITIONAL COLUMN FOR YATES STDZ EFFECT IS ALLOWED FOR */
array s0(*) c1-c&n;
%do i=1 %to &kk+1;
array s&i(&n);
/* %put "Debug1 " &i &n; */
%end;
/* SET COLUMN ARRAYS TO ZERO s0 = input data */
%do j=1 %to &n;
%do i=1 %to &kk+1;
s&i[&j]=0;
/* %put "Debug2 " &i &j; */
%end;
%end;
/* FILL IN KK COLUMNS USING YATES ALGORITHM */
%do p = 0 %to (&kk-1) %by 1;
%let q=%eval(&p+1);
*fill in upper 1/2 of each column;
%do i = 1 %to &n/2 %by 1;
%let j=%eval(2*&i);
s&q[&i] = s&p[&j-1]+s&p[&j];
*fill in lower 1/2 of each column;
%let k=%eval(&n/2+&i);
s&q[&k] = -s&p[&j-1]+s&p[&j];
/* %put "Debug3 " &i &j &k; */
%end; *i;
%end; *p;
/* COMPUTE YATES STDZ EFFECT
METHOD DIVISOR
********************************************************
DEJ sqrt(n) for each effect
BOX n for first effect, n/2 for all other effects
MGH n for first effect, n/2 for all other effects
OEH n for all effects
HICKS n/2 for all effects
*********************************************************
*/
%let q=%eval(&kk+1);
%do i=1 %to &n %by 1;
divisor=sqrt(&n);
%if %upcase(&method)=DEJ %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=&n;
%if %upcase(&method)=BOX %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
%if &i>1 %then %do;
divisor=&n/2;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=(2**&kk);
%if %upcase(&method)=OEH %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
divisor=&n/2;
%if %upcase(&method)=HICKS %then %do;
s&q[&i]=s&kk[&i]/divisor; %end;
%if %upcase(&method)=MGH %then %do;
divisor=&n/2;
s&q[&i]=s&kk[&i]/divisor; %end;
%if &i>1 %then %do;
divisor=&n/2;
%end;
/* final column = coefficient in ANOVA */
/* %put "Debug4 " &i &q; */
%end;
*OUTPUT RESULTS;
%do j = 1 %to &n;
%do i = 0 %to &kk+1 %by 1;
step&i=s&i[&j];
%put step&i s&i[&j];
%end;
output;
%end;
run;
title "YATES ANALYSIS USING &method Method and dataset &data";
options ls=120;
proc print data=yates;
run; quit; title;
options ls=79;
%mend yates;
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