RAFisher1 1.0

Operating systemsOS : Windows / Linux / Mac OS / BSD / Solaris
Program licensingScript Licensing : Freeware
CreatedCreated : Sep 14, 2007
Size downloadDownloads : 1
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Discriminant Analysis is a multivariate technique ...

discriminant Analysis is a multivariate technique concerned with separating distinct sets of observations to previously defined groups; rather exploratory in nature, it is a separatory procedure. Here, we develop this technique considering normal populations with equal covariance matrices.
So, prior to the Discriminant Analysis it performs a Multivariate Analysis of Variance to test any difference between the group's means vector. Then it describe the differential features of the observations from the known populations by trying to find discriminants whose numerical values are such that the populations are separated as much as possible.
It needs to input the multivariate data matrix, vector of prior probabilities (unknown them, pp = 1; known them, pp = 2 and [you must to give it]) and significance level (default = 0. 05).
As output it gives a complete Multivariate analysis of Variance table, mean vectors, vector of prior probabilities, testing of the Mahalanobis distances among groups, classification functions (grouping), list of misclassifications and the total percent of correct classification.
Demands:
matlab Release: R11

RAFisher1 1.0 scripting tags: discriminant, matlab, groups, prior, vector, statistics probability, rafisher1, variance, matlab rafisher1, populations, matlab statistics, analysis. What is new in RAFisher1 1.0 software script? - Unable to find RAFisher1 1.0 news. What is improvements are expecting? Newly-made RAFisher1 1.1 will be downloaded from here. You may download directly. Please write the reviews of the RAFisher1. License limitations are unspecified.