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Statistics

Monday, December 7, 2009. Proc import datafile="F: publish data analysis using R data plantgrowth.csv" out=plantgrowth dbms=csv replace;. Select group, mean(weight), var(weight). Group by group;. Proc glm data=plantgrowth;. Model weight = group;. Run; quit;. Proc mixed data=plantgrowth;. Model weight = group;. Proc mixed data=plantgrowth;. Model weight = group / ddfm=Satterthwaite;. Repeated / group=group;. Proc import datafile="F: publish data analysis using R data CBT.csv" out=cbt dbms=csv replace;.

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Monday, December 7, 2009. Proc import datafile=F: publish data analysis using R data plantgrowth.csv out=plantgrowth dbms=csv replace;. Select group, mean(weight), var(weight). Group by group;. Proc glm data=plantgrowth;. Model weight = group;. Run; quit;. Proc mixed data=plantgrowth;. Model weight = group;. Proc mixed data=plantgrowth;. Model weight = group / ddfm=Satterthwaite;. Repeated / group=group;. Proc import datafile=F: publish data analysis using R data CBT.csv out=cbt dbms=csv replace;.

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Statistics | statistics-cahn.blogspot.com Reviews

https://statistics-cahn.blogspot.com

Monday, December 7, 2009. Proc import datafile="F: publish data analysis using R data plantgrowth.csv" out=plantgrowth dbms=csv replace;. Select group, mean(weight), var(weight). Group by group;. Proc glm data=plantgrowth;. Model weight = group;. Run; quit;. Proc mixed data=plantgrowth;. Model weight = group;. Proc mixed data=plantgrowth;. Model weight = group / ddfm=Satterthwaite;. Repeated / group=group;. Proc import datafile="F: publish data analysis using R data CBT.csv" out=cbt dbms=csv replace;.

INTERNAL PAGES

statistics-cahn.blogspot.com

1

Statistics: Yij = mu + bi + error

http://www.statistics-cahn.blogspot.com/2009/12/yij-mu-bi-error.html

Monday, December 7, 2009. Yij = mu bi error. Proc import datafile="F: publish data analysis using R data rail.csv" out=rail dbms=csv replace;. Proc mixed data=rail;. Model travel= / s;. Proc mixed data=rail method=ml;. Model travel= / s;. Proc genmod data=rail;. Model travel = ;. Repeated subject = Rail / type=cs;. Proc nlmixed data=rail;. Parms mu=100, s2b=10, s2e=10;. Model travel normal(mu bi, s2e);. Random bi normal(0, s2b) subject=rail;. Subscribe to: Post Comments (Atom). Yij = mu bi error.

2

Statistics: December 2009

http://www.statistics-cahn.blogspot.com/2009_12_01_archive.html

Monday, December 7, 2009. Proc import datafile="F: publish data analysis using R data plantgrowth.csv" out=plantgrowth dbms=csv replace;. Select group, mean(weight), var(weight). Group by group;. Proc glm data=plantgrowth;. Model weight = group;. Run; quit;. Proc mixed data=plantgrowth;. Model weight = group;. Proc mixed data=plantgrowth;. Model weight = group / ddfm=Satterthwaite;. Repeated / group=group;. Proc import datafile="F: publish data analysis using R data CBT.csv" out=cbt dbms=csv replace;.

3

Statistics: April 2009

http://www.statistics-cahn.blogspot.com/2009_04_01_archive.html

Monday, April 20, 2009. Cross over design (binary output). Input group $ seq1 seq2 count;. Seq='(' put(seq1,1.) ',' put(seq2,1.) ')';. Trt=diff*(group='1(AB)') - diff*(group='2(BA)');. 1(AB) 0 0 5. 1(AB) 0 1 14. 1(AB) 1 0 3. 1(AB) 1 1 6. 2(BA) 0 0 10. 2(BA) 0 1 7. 2(BA) 1 0 18. 2(BA) 1 1 10. Proc freq data=crossover (where=(diff=0) ;. Table group*seq / chisq;. Proc freq data=crossover (where=(diff ne 0) ;. Table group*seq / chisq;. Proc logistic data=crossover (where=(diff ne 0) ;. Model diff = group;.

4

Statistics: Modeling McNemar's test

http://www.statistics-cahn.blogspot.com/2009/11/modeling-mcnemars-test.html

Sunday, November 22, 2009. Proc import datafile='F: consulting dich.csv' out=dich dbms=csv replace; run;. Proc freq data=dich;. Table before*after / agree;. Create table dich2 as. Select group, id, before="TRUE" as before, after="TRUE" as after. Create table logist as. Select group, after-before as diff. Proc logistic data=logist (where=(diff ne 0) ;. Proc logistic data=logist (where=(diff ne 0) ;. Generalized Mixed Models */. Create table dich3 as. Select group, id, 1 as period, after as y from dich2.

5

Statistics: y = a + b*x + error

http://www.statistics-cahn.blogspot.com/2009/12/y-bx-error.html

Monday, December 7, 2009. Y = a b*x error. Proc import datafile="F: publish data analysis using R data cars.csv" out=cars dbms=csv replace;. Proc mixed data=cars;. Model dist = speed / s;. Proc mixed data=cars method=ml;. Model dist = speed / s;. Proc genmod data=cars;. Model dist = speed;. Proc glimmix data=cars;. Model dist = speed / s;. Proc nlmixed data=cars;. Parms alpha=10 beta=10 s2e=100;. Model dist normal(alpha beta*speed, s2e);. Subscribe to: Post Comments (Atom). Yij = mu bi error.

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cahn88.blogspot.com

cahn's home: Research

http://cahn88.blogspot.com/2007/10/sas-data-step.html

Sunday, October 21, 2007. Other than SAS and R. 작년 무렵에 통계에 관한 질문에 이은 답변에 이어 두번째 제 질문에 답을 주셨네요. 메일을 어떻게 보내는지 잘몰라서 그런데 메일 주소를 보내주시면 감사하겠습니다. July 16, 2009 at 10:06 AM. Scipio88@hanmail.net 입니다. 그럼 부탁드립니다. July 24, 2009 at 8:27 AM. Subscribe to: Post Comments (Atom). View my complete profile.

cahn88.blogspot.com

cahn's home: October 2007

http://cahn88.blogspot.com/2007_10_01_archive.html

Sunday, October 21, 2007. Other than SAS and R. Subscribe to: Posts (Atom). View my complete profile.

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Statistics

Monday, December 7, 2009. Proc import datafile="F: publish data analysis using R data plantgrowth.csv" out=plantgrowth dbms=csv replace;. Select group, mean(weight), var(weight). Group by group;. Proc glm data=plantgrowth;. Model weight = group;. Run; quit;. Proc mixed data=plantgrowth;. Model weight = group;. Proc mixed data=plantgrowth;. Model weight = group / ddfm=Satterthwaite;. Repeated / group=group;. Proc import datafile="F: publish data analysis using R data CBT.csv" out=cbt dbms=csv replace;.

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