Sas proc candisc pdf

Life before ods document suppose your boss wants a summary of last weeks results for the companys intranet site, and wants. Evaluation of crisphead lettuce cultivars in different cover types by. The options listed in the following table can appear in the proc candisc statement. The candisc procedure proc candisc datafish ncan3 outoutcan. In the hpcandisc procedure, only the ordinary sas data set raw data can be used as input. The hpcandisc procedure supports an id statement that is not available in proc candisc. Further aspects of the theory of multiple regression. Proc candisc performs a multivariate oneway analysis of variance oneway manova and provides four multivariate tests of the hypothesis that the class mean vectors are equal. We could also have used proc candisc with essentially the same syntax to obtain the same results but with slightly different output. Proc candisc begins by displaying summary information about the variables in the analysis.

The first canonical variable is the linear combination of the variables weight, length1, length2, length3, height, and width that provides the greatest difference in terms of a univariate f test between the class means. The proc candisc statement invokes the candisc procedure. Fish measurement data the candisc procedure raw canonical. Proc candisc also uses a quasiinverse when the total sample covariance. If you omit the data option, the procedure uses the most recently created sas data set. Discriminant function analysis sas data analysis examples. Correlations between the canonical variables and the original variables in. Proc candisc computes the means of the canonical variables for each class. This information includes the number of observations, the number of quantitative variables in the analysis speci. Node 4 of 128 node 4 of 128 introduction to regression procedures tree level 1. We will run the discriminant analysis using proc discrim with the canonical option in the proc discrim statement to output the canonical coefficients and canonical structure. As input, proc candisc can accept ordinary sas data set and other types of special sas data sets. If you have sas viya with any offering in addition to sas visual analytics licensed and installed, you also have access to all sas 9. These specially structured data sets include typecorr, cov, csscp, and sscp.

This document is an individual chapter from sas stat. The candisc procedure performs a canonical discriminant analysis, computes squared mahalanobis distances between class means, and performs both univariate and multivariate oneway analyses of variance. Introduction to statistical modeling with sas stat software tree level 1. If you install sas visual analytics only, then you have access to the base sas procedures in the following table. The second canonical variable provides the greatest difference between class means while being. Proc candisc displays both standardized and unstandardized canonical coefficients. Out specifies output data set with canonical scores.