{"id":13956,"date":"2018-05-07T12:29:39","date_gmt":"2018-05-07T12:29:39","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=13956"},"modified":"2021-12-05T22:30:15","modified_gmt":"2021-12-05T17:00:15","slug":"stat-discriminant-analysis","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/stat-discriminant-analysis\/","title":{"rendered":"SAS\/STAT Discriminant Analysis Procedure"},"content":{"rendered":"

We looked at SAS\/STAT Longitudinal Data Analysis Procedures\u00a0<\/strong>in our previous tutorial, today we will look at SAS\/STAT discriminant analysis. Moreover, we will also discuss how can we use discriminant analysis in SAS\/STAT.<\/p>\n

Our focus here will be to understand different procedures for performing SAS\/STAT discriminant analysis:\u00a0PROC DISCRIM, PROC CANDISC, PROC STEPDISC through the use of examples.<\/p>\n

So, let’s start SAS\/STAT Discriminant Analysis Procedure.<\/p>\n

What is SAS\/STAT Discriminant Analysis?<\/h3>\n

SAS\/STAT Discriminant analysis<\/em>\u00a0is a statistical technique that is used to analyze the data when the criterion or the dependent variable is categorical and the predictor or the independent variable is an interval in nature.
\nDiscriminant analysis in SAS\/STAT is very similar to an analysis of variance (ANOVA)<\/strong>.<\/p>\n

Let us consider a simple example, suppose we measure height in a random sample of 50 males and 50 females. Females are, on the average, not as tall as males, and this difference will be reflected in the difference in means (for the variable\u00a0Height). Therefore, variable height allows us to discriminate between males and females with a better than chance probability: if a person is tall, then he is likely to be a male, if a person is short, then she is likely to be a female.<\/p>\n

The most common application of discriminant analysis in SAS\/STAT is to include many measures in the study, in order to determine the ones that discriminate between groups. For example, an educational researcher interested in predicting high school graduates choices for further education would probably include as many measures of personality, achievement, motivation, academic performance, etc. as possible in order to learn which one(s) offer the best prediction.<\/p>\n

\"Steps<\/a>

Steps in Discriminant Analysis in SAS\/STAT<\/p><\/div>\n

Procedures for Performing Discriminant Analysis in SAS\/STAT<\/h3>\n

Following procedures performs in SAS\/STAT discriminant analysis of a sample data. Each procedure has a different syntax and is used with different type of data in different contexts. Let us explore each one of these.<\/p>\n

a. PROC CANDISC<\/h4>\n

The PROC CANDISC procedure in SAS\/STAT is used as a dimension reduction technique to find linear combinations of quant variables that provide maximum separation between classes. It uses Mahalanobis distance between classes for separation.
\nSyntax of PROC CANDISC<\/strong><\/p>\n

PROC CANDISC\u00a0DATASET <OPTIONS>;\r\nCLASS <variable>;\r\nVAR <variable>;<\/pre>\n
Example Of PROC CANDISC<\/strong><\/p>\n
data iris;\r\nset sashelp.iris;\r\nrun;\r\nproc candisc data=iris out=outcan distance anova;\r\nclass species;\r\nvar sepallength sepalwidth petallength petalwidth;\r\nrun;<\/pre>\n
 <\/p>\n
\"SAS\/STAT<\/a>
SAS\/STAT Discriminant Analysis –\u00a0PROC CANDISC<\/p><\/div>\n
\"SAS\/STAT<\/a>
Discriminant Analysis In SAS\/STAT –\u00a0PROC CANDISC<\/p><\/div>\n
\"SAS\/STAT<\/a>
Statistical Discriminant Analysis –\u00a0PROC CANDISC<\/p><\/div>\n
\"SAS\/STAT<\/a>
SAS\/STAT Discriminant Analysis –\u00a0PROC CANDISC<\/p><\/div>\n
\"SAS\/STAT<\/a>
Discriminant Analysis in SAS\/STAT – PROC CANDISC<\/p><\/div>\n
b. PROC DISCRIM<\/h4>\n
The PROC DISCRIM procedure in SAS\/STAT performs discriminant analysis through which it classifies observations into different groups. It is similar to logistic regression, the only difference is that we have two categories, in this multiple categories can be used.
\nSyntax for PROC DISCRIM<\/strong><\/p>\n
PROC DISCRIM dataset <OPTIONS>;\r\nCLASS <VARIABLES>;\r\nVar <VARIABLES>;<\/pre>\n
Example of PROC DISCRIM<\/strong><\/p>\n
data iris;\r\nset sashelp.iris;\r\nrun;\u00a0\r\nproc DISCRIM data=iris\r\ndistance anova MANOVA CROSSLISTERR;\r\nclass species;\r\nvar sepallength sepalwidth petallength petalwidth;\r\nrun;<\/pre>\n
The DISCRIM procedure begins by displaying summary information about the variables in the analysis. This information includes the number of observations, the number of quantitative variables in the analysis (specified with the VAR statement), and the number of classes in the classification variable (specified with the CLASS statement).<\/p>\n
The frequency of each class, its weight, the proportion of the total sample, and the prior probability are also displayed.<\/p>\n
\"SAS\/STAT<\/a>
SAS\/STAT Discriminant Analysis –\u00a0\u00a0PROC DISCRIM<\/p><\/div>\n
\"SAS\/STAT<\/a>
Discriminant Analysis in SAS\/STAT – PROC DISCRIM<\/p><\/div>\n
\"SAS\/STAT<\/a>
Discriminant Analysis in STAT –\u00a0\u00a0PROC DISCRIM<\/p><\/div>\n
\"SAS\/STAT<\/a>
Statistical Discriminant Analysis –\u00a0\u00a0PROC DISCRIM<\/p><\/div>\n
\"SAS\/STAT<\/a>
SAS\/STAT Discriminant Analysis –\u00a0\u00a0PROC DISCRIM<\/p><\/div>\n
c. PROC STEPDISC<\/h4>\n
The PROC STEPDISC procedure in SAS\/STAT performs a stepwise discriminant analysis to select a subset of the quantitative variables for use in discriminating among the classes. The STEPDISC procedure can be used for forward selection, backward elimination, or stepwise selection.
\nSyntax for PROC STEPDISC<\/strong><\/p>\n
PROC STEPDISC \u00a0dataset OPTIONS;\r\nCLASS <VARIABLES>;\r\n\u00a0\u00a0\u00a0\u00a0 Var \u00a0< variable>;<\/pre>\n
Example of PROC STEPDISC<\/strong><\/p>\n
data iris;\r\nset sashelp.iris;\r\nrun;\u00a0\r\nproc stepdisc data=iris;\r\nclass species;\r\nvar sepallength sepalwidth petallength petalwidth;\r\nrun;<\/pre>\n
\"SAS<\/a>
Discriminant analysis –\u00a0PROC STEPDISC<\/p><\/div>\n
\"SAS<\/a>
STAT discriminant analysis –\u00a0PROC STEPDISC<\/p><\/div>\n
\"SAS<\/a>
Discriminant analysis in\u00a0SAS\/STAT –\u00a0PROC STEPDISC<\/p><\/div>\n
\"SAS<\/a>
Statistical discriminant analysis –\u00a0PROC STEPDISC<\/p><\/div>\n
\"STAT<\/a>
STAT discriminant analysis – PROC STEPDISC<\/p><\/div>\n
\"SAS<\/a>
SAS\/STAT discriminant analysis – PROC STEPDISC<\/p><\/div>\n
This was all\u00a0about SAS\/STAT Discriminant Analysis Tutorial. Hope you like our explanation<\/b>.<\/p>\n
Conclusion<\/h3>\n
Hence, this was a complete description and a comprehensive understanding of all the procedures offered by SAS\/STAT Discriminant Analysis: PROC DISCRIM, PROC CANDISC, and\u00a0PROC STEPDISC. We looked at each one of them, their syntax, and how they can be used.<\/p>\n
Hope you all enjoyed it. Stay tuned for more interesting topics in SAS\/STAT and for any doubts, post it in the comments section below.<\/p>\n","protected":false},"excerpt":{"rendered":"
We looked at SAS\/STAT Longitudinal Data Analysis Procedures\u00a0in our previous tutorial, today we will look at SAS\/STAT discriminant analysis. Moreover, we will also discuss how can we use discriminant analysis in SAS\/STAT. Our focus...<\/p>\n","protected":false},"author":6,"featured_media":14082,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[56],"tags":[3974,4315,4316,4317,10004,10009,10010,10120,10121,14061,14062,14081],"class_list":["post-13956","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sas-stat","tag-discriminant-analysis-in-stat","tag-example-of-proc-candisc","tag-example-of-proc-discrim","tag-example-of-proc-stepdisc","tag-proc-candisc","tag-proc-discrim","tag-proc-discrim-example","tag-proc-stepdisc","tag-proc-stepdisc-example","tag-syntax-of-proc-candisc","tag-syntax-of-proc-discrim","tag-syntax-of-proc-stepdisc"],"yoast_head":"\nSAS\/STAT Discriminant Analysis Procedure - DataFlair<\/title>\n<meta name=\"description\" content=\"What is SAS\/STAT Discriminant Analysis-Procedures used for Discriminant Analysis in SAS\/STAT: PROC DISCRIM,PROC CANDISC,PROC STEPDISC, with example & Syntax\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/stat-discriminant-analysis\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"SAS\/STAT Discriminant Analysis Procedure - 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