Find all needed information about Proc Discrim Sas Support. Below you can see links where you can find everything you want to know about Proc Discrim Sas Support.
https://support.sas.com/documentation/cdl/en/statug/63347/HTML/default/statug_discrim_sect004.htm
If you specify METRIC=DIAGONAL, then PROC DISCRIM uses either the diagonal matrix of the pooled covariance matrix (POOL=YES) or diagonal matrices of individual within-group covariance matrices (POOL=NO) to compute the squared distances. If you specify METRIC=IDENTITY, then PROC DISCRIM uses Euclidean distance. The default is METRIC=FULL.
https://communities.sas.com/t5/Statistical-Procedures/Multiple-imputation-FCS-discrim-and-logistic-in-SAS-9-3/td-p/97796
I contacted SAS tech support and this was the reply: In SAS 9.3TS1M0 the discriminant method will only use continuous variables as predictors (that is why format 2 generates an ERROR). In the latest release of SAS/STAT 12.1, which is part of SAS 9.3TS1M2, you can specify that it also use CLASS variables as well with the CLASSEFFECTS=INCLUDE option.
https://support.sas.com/documentation/cdl/en/statug/63033/HTML/default/statug_discrim_sect001.htm
Overview: DISCRIM Procedure. For a set of observations containing one or more quantitative variables and a classification variable defining groups of observations, the DISCRIM procedure develops a discriminant criterion to classify each observation into one of the groups.
https://communities.sas.com/t5/SAS-Procedures/Proc-Discrim/td-p/23992
Hello, I using proc discrim for classification purposes. When I use method= normal, proc discrim give the classification function (also know as Fisher´s linear discriminant function), and then I can classify new observations into the groups in a paper and pencil way (not need used software to do this).
https://documentation.sas.com/?docsetId=statug&docsetTarget=statug_discrim_syntax01.htm&docsetVersion=14.3&locale=en
If you specify METRIC=DIAGONAL, then PROC DISCRIM uses either the diagonal matrix of the pooled covariance matrix (POOL=YES) or diagonal matrices of individual within-group covariance matrices (POOL=NO) to compute the squared distances. If you specify METRIC=IDENTITY, then PROC DISCRIM uses Euclidean distance. The default is METRIC=FULL.
https://v8doc.sas.com/sashtml/stat/chap25/sect4.htm
OUTSTAT= SAS-data-set creates an output SAS data set containing various statistics such as means, standard deviations, and correlations. When the input data set is an ordinary SAS data set or when TYPE=CORR, TYPE=COV, TYPE=CSSCP, or TYPE=SSCP, this option can be used to generate discriminant statistics.
https://www.sas.com/content/dam/SAS/support/en/sas-global-forum-proceedings/2019/3277-2019.pdf
partitioned groups. The Box’s M test can be produced using the PROC DISCRIM procedure. More information for the Box’s M test can be found in SAS STAT manual (SAS Institute (2013)). This paper emphasizes on providing SAS codes for hypothesis tests in …
https://stats.idre.ucla.edu/sas/dae/discriminant-function-analysis/
Version info: Code for this page was tested in SAS 9.3. Linear discriminant function analysis (i.e., discriminant analysis) performs a multivariate test of differences between groups. In addition, discriminant analysis is used to determine the minimum number of dimensions needed to describe these differences.
https://www.youtube.com/watch?v=6mXYhuDEPd0
Nov 13, 2014 · Discrimnant Analysis in SAS with PROC DISCRIM ... SUBSCRIBE TO THIS CHANNEL for free tutorials on Analytics/Data Science/Big Data/SAS/R/Hadoop ... Cluster Analysis in SAS using PROC CLUSTER ...Author: Analytics University
https://r.789695.n4.nabble.com/PROC-DISCRIM-vs-lda-in-MASS-td823032.html
Apr 17, 2007 · PROC DISCRIM vs. lda( ) in MASS. Hello, I am using WinXP, R version 2.3.1, and SAS for PC version 8.1. I have mostly used SAS over the last 4 …
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