LISTSERV at the University of Georgia
Menubar Imagemap
Home Browse Manage Request Manuals Register
Previous messageNext messagePrevious in topicNext in topicPrevious by same authorNext by same authorPrevious page (April 2009, week 1)Back to main SAS-L pageJoin or leave SAS-L (or change settings)ReplyPost a new messageSearchProportional fontNon-proportional font
Date:         Thu, 2 Apr 2009 08:34:08 -0700
Reply-To:     barry.brian.barrios@GMAIL.COM
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         barry.brian.barrios@GMAIL.COM
Organization: http://groups.google.com
Subject:      Proc Reg, data set, standard error of residuals, etc.
Comments: To: sas-l@uga.edu
Content-Type: text/plain; charset=ISO-8859-1

/************************SASS DATA SET BEGINS*********************************************************/

data fitness; input age weight oxy runtime rstpulse runpulse maxpulse; cards; 44 89.47 44.609 11.37 62 178 182 40 75.07 45.313 10.07 62 185 185 44 85.84 54.297 8.65 45 156 168 42 68.15 59.571 8.17 40 166 172 38 89.02 49.874 9.22 55 178 180 47 77.45 44.811 11.63 58 176 176 40 75.98 45.681 11.95 70 176 180 43 81.19 49.091 10.85 64 162 170 44 81.42 39.442 13.08 63 174 176 38 81.87 60.055 8.63 48 170 186 44 73.03 50.541 10.13 45 168 168 45 87.66 37.388 14.03 56 186 192 45 66.45 44.754 11.12 51 176 176 47 79.15 47.273 10.60 47 162 164 54 83.12 51.855 10.33 50 166 170 49 81.42 49.156 8.95 44 180 185 51 69.63 40.836 10.95 57 168 172 51 77.91 46.672 10.00 48 162 168 48 91.63 46.774 10.25 48 162 164 49 73.37 50.388 10.08 67 168 168 57 73.37 39.407 12.63 58 174 176 54 79.38 46.080 11.17 62 156 165 52 76.32 45.441 9.63 48 164 166 50 70.87 54.625 8.92 48 146 155 51 67.25 45.118 11.08 48 172 172 54 91.63 39.203 12.88 44 168 172 51 73.71 45.790 10.47 59 186 188 57 59.08 50.545 9.93 49 148 155 49 76.32 48.673 9.40 56 186 188 48 61.24 47.920 11.50 52 170 176 52 82.78 47.467 10.50 53 170 172 ; run;

proc reg data=fitness outest=regpe(keep=_MODEL_ _TYPE_ _DEPVAR_ Intercept runtime weight group _RSQ_ _ADJRSQ_)tableout;

model1: model oxy=runtime weight/adjrsq;

output out=out1 residual=residual1;

model2: model maxpulse=runtime weight/adjrsq;

output out=out2 residual=residual2; model3: model runpulse=runtime weight/adjrsq;

output out=out3 residual=residual3; run;

/* print data set for parameter estimates table and rsquare statistics */ proc print data=regpe; run;

/* one data set for all the OUTPUT data sets for each model */ data final; merge out1 out2 out3; run;

/* print the data set for all the OUTPUT data setts for each model */ proc print data=final; var oxy maxpulse runpulse runtime weight residual1 residual2 residual3; run; /********************************************SAS DATA SET ENDS*******************************************************/

I want to produce the following data set:

model Parms(RUntime) tvalue(Runtime) Parms(Weigh)t tvalue (Weight) _RSQ_ _ADJRSQ_ model1 -0.37627 -2.97504 -0.09925 -0.89861 0.24987 0.19629 model2 -0.07026 -0.30471 0.27067 01.34427 0.06566 -0.00108 model3 -2.38075 -7.92655 0.29115 1.11004 0.70097 0.67961

Also I want to include another column of the standard error of the residuals for each model. I know how to include residuals in the proc reg procedure but there I don't see how to calculate its standard error. I would like to include the stadard error of the residuals for each model in the data set. THanks in advanced


Back to: Top of message | Previous page | Main SAS-L page