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The ade4 Package - NexTag Supports Open Source Initiatives

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62 discrimin<br />

discrimin<br />

Linear Discriminant Analysis (descriptive statistic)<br />

Description<br />

Usage<br />

performs a linear discriminant analysis.<br />

discrimin(dudi, fac, scannf = TRUE, nf = 2)<br />

## S3 method for class 'discrimin':<br />

plot(x, xax = 1, yax = 2, ...)<br />

## S3 method for class 'discrimin':<br />

print(x, ...)<br />

Arguments<br />

dudi<br />

fac<br />

scannf<br />

nf<br />

x<br />

Value<br />

xax<br />

yax<br />

a duality diagram, object of class dudi<br />

a factor defining the classes of discriminant analysis<br />

a logical value indicating whether the eigenvalues bar plot should be displayed<br />

if scannf FALSE, an integer indicating the number of kept axes<br />

an object of class ’discrimin’<br />

the column number of the x-axis<br />

the column number of the y-axis<br />

... further arguments passed to or from other methods<br />

returns a list of class ’discrimin’ containing :<br />

nf<br />

eig<br />

fa<br />

li<br />

va<br />

cp<br />

gc<br />

a numeric value indicating the number of kept axes<br />

a numeric vector with all the eigenvalues<br />

a matrix with the loadings: the canonical weights<br />

a data frame which gives the canonical scores<br />

a matrix which gives the cosines between the variables and the canonical scores<br />

a matrix which gives the cosines between the components and the canonical<br />

scores<br />

a data frame which gives the class scores<br />

Author(s)<br />

Daniel Chessel<br />

Anne B Dufour 〈dufour@biomserv.univ-lyon1.fr〉

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