proc sort data=stats;
by _name_ _SOURCE_;
run;
data allrel;
retain bdf bms jdf edf wms jms ems k;
set stats;
by _name_;
if _type_='SS1' then delete;
if _source_='ERROR' then do;
ems=ss/df;
edf=df;
end;
if upcase(_source_)="%upcase(&targetv)" then do; * modified by KS on 2-18-04;
bms=ss/df;
bdf=df;
end;
if upcase(_source_)="%upcase(&repeatv)" then do; * modified by KS on 2-18-04 ;
jms=ss/df;
jdf=df;
k=df+1;
end;
if last._name_ then do;
wms=((ems*edf)+(jms*jdf))/(edf+jdf);
n=bdf+1;
m=(n*(k-1))/(n*(k-1)-2);
theta=(bms-(m*wms))/(k*m*wms);
rii=theta/(1+theta);
rtt=(k*theta)/(1+(k*theta));
fixed=(bms-ems)/(bms+((k-1)*ems));
fixedk=(bms-ems)/bms;
biased=(bms-wms)/(bms+(k-1)*wms);
random=(bms-ems)/((bms)+((k-1)*ems)+((k*(jms-ems))/n));
rk=(bms-ems);
randk=rk/(bms+((jms-ems)/n));
k=(bms-wms)/bms;
output;
end;
run;
data _null_;
file print header=hea1 ps=64 notitles;
set allrel;
kkm=jdf+edf;
kk3=edf+bdf+jdf;
*+++++++++1+++++++++2+++++++++3+++++++++4+++++++++5+++++++++6+++++++++7+++++++++8+++++++++9++++++++10;
put
@20 'Degrees of mean Label for'/
@5 'Source freedom' @35 'square' @45 'mean Square'/
@5 '----------------------------------------------------------';
put @5 'Ratees (N-1)' @24 bdf 3. @34 bms 7.2 @49 'BMS'/
@5 'Within' @24 kkm 3. @34 wms 7.2 @49 'WMS'/
@7 'Raters (K-1)' @25 jdf 3. @34 jms 7.2 @49 'JMS'/
@7 'Raters x Ratees ' @25 edf 3. @34 ems 7.2 @49 'EMS'/
@5 '----------------------------------------------------------'/
@5 'Total' @24 kk3 3. /;
return;
hea1:
do;
put @5 "&t1 "/;
end;
return;
run;
data _null_;
file print header=hea1 ps=64 notitles;
set allrel;
*+++++++++1+++++++++2+++++++++3+++++++++4+++++++++5+++++++++6+++++++++7+++++++++8+++++++++9++++++++10;
put
@5 'Model Reliability Intraclass Correlation'/
@5 '---------------------------------------------------------------';
put @5 'One way'/
@7 'Biased' @24 k 5.3 @53 biased 5.3 /
@7 'Unbiased' @24 rtt 5.3 @53 rii 5.3 //
@5 'Two-way'/
@7 'Fixed effects' @24 fixedk 5.3 @53 fixed 5.3 /
@7 'Random effects' @24 randk 5.3 @53 random 5.3 /
@5 '---------------------------------------------------------------'/;
return;
hea1:
do;
put @5 " &t2 "//;
end;
return;
run;
%MEND twoway;
**********************************************;
**********************************************;
%MACRO oneway;
**********************************************;
title1 "&t1";
title2 "&t2";
proc anova data=&indata outstat=est1 noprint;
class &targetv;
model &dv= &targetv;
run;
data est;
set est1;
retain;
if _type_='ERROR' then wms=ss/df;
if _type_='ERROR' then n=df;
if _type_='ERROR' then errdf=df;
if _type_='ANOVA' then bms=ss/df;
if _type_='ANOVA' then betdf=df;
if _type_='ANOVA' then nrated=df+1;
if _type_='ANOVA' then nn=n+df+1;
if _type_='ANOVA' then k=nn/nrated;
OUTPUT;
data est;
set est;
m=(n*(k-1))/(n*(k-1)-2);
theta=(bms-(m*wms))/(k*m*wms);
rii=theta/(1+theta);
rtt=(k*theta)/(1+(k*theta));
frtt=(bms-wms)/bms;
frii=frtt/(k * (1 + (frtt * (1/k - 1))));
/* added by sally carson ----> */
*bn4rel70=(frtt-(frii*frtt))/(frii*(1-frtt));
bn4rel70=(.70 -(frii*.70 ))/(frii*(1-.70 ));
*un4rel70=(rtt-(rii*rtt))/(rii*(1-rtt));
un4rel70=(.70-(rii*.70))/(rii*(1-.70));
/* added by karen spritzer ----> */
bn4rel80=(.80 -(frii*.80 ))/(frii*(1-.80 ));
un4rel80=(.80-(rii*.80))/(rii*(1-.80));
bn4rel90=(.90 -(frii*.90 ))/(frii*(1-.90 ));
un4rel90=(.90-(rii*.90))/(rii*(1-.90));
bn4rel95=(.95 -(frii*.95 ))/(frii*(1-.95 ));
un4rel95=(.95-(rii*.95))/(rii*(1-.95));
OUTPUT;
run;
DATA EST;
SET EST;
if k ne .;
RUN;
data _null_;
file print ps=64 /*notitles*/;
set est;
k2=k-1;
n2=n-1;
k3=n2+n;
kk=betdf+errdf;
*+++++++++1+++++++++2+++++++++3+++++++++4+++++++++5+++++++++6+++++++++7+++++++++8+++++++++9++++++++10;
put ///// @5 'GRIP' //
@20 'Degrees of mean Label for'/
@5 'Source freedom' @35 'square' @45 'mean Square'/
@5 '----------------------------------------------------------';
put @5 'Between ' @24 betdf 5. @34 bms 7.2 @49 'BMS'/
@5 'Within' @24 errdf 5. @34 wms 7.2 @49 'WMS'/
@5 '----------------------------------------------------------'/
@5 'Total' @24 kk 5. /;
PUT /////;
*return;
/*
data _null_;
file print ps=64 /*notitles**;
set est; */
*+++++++++1+++++++++2+++++++++3+++++++++4+++++++++5+++++++++6+++++++++7+++++++++8+++++++++9++++++++10;
put
@5 'Model Reliability ICC N4rel.70 N4rel.80 N4rel.90 N4rel.95'/
@5 '-------------------------------------------------------------------------------------------------';
put @5 'One way'/
@7 'Biased' @24 frtt 5.3 @33 frii 5.3 @43 bN4rel70 7.2 @53 bN4rel80 7.2 @63 bN4rel90 7.2 @76 bN4rel95 7.2/
@7 'Unbiased' @24 rtt 5.3 @33 rii 5.3 @43 uN4rel70 7.2 @53 uN4rel80 7.2 @63 bN4rel90 7.2 @76 bN4rel95 7.2//
@5 '-------------------------------------------------------------------------------------------------'/;
return;
RUN;
%MEND oneway;
**********************************************;
%MACRO grip(indata=,targetv=,repeatv=,dv=,nrepeatv=,type=,t1=,t2=);
%IF %EVAL(&type) %then %DO;
%twoway;
%end;
%ELSE
%DO;
%oneway;
%end;
%MEND grip;
******************************************************;
** Program and macro call starts here:
******************************************************;
data all;
input plant $ 1-2 expcon rater height0 height1;
cards;
A1 1 1 120 121
A1 1 2 118 120
A2 2 1 84 85
A2 2 2 96 88
B1 2 1 107 108
B1 2 2 105 104
B2 1 1 94 100
B2 1 2 97 104
C1 2 1 85 88
C1 2 2 91 96
C2 1 1 79 86
C2 1 2 78 92
D1 1 1 70 76
D1 1 2 72 80
D2 2 1 54 56
D2 2 2 56 60
E1 1 1 85 101
E1 1 2 97 108
E2 2 1 90 84
E2 2 2 92 96
;
run;
******************************************************;
%GRIP(indata=all,targetv=plant,repeatv=rater,dv=height0,
type=1,t1=test of GRIP macro,t2=);
******************************************************;
