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Reading data for discriminant analysis

1 message · Brian Ripley

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Then look at the other examples (in MASS3), such as

data(fgl)
fgl.lda <- lda(type ~ ., fgl)

fgl is a data frame, type is a factor.


dcrabs.lda <- lda(crabs$sex ~ FL + RW + CL + CW, lcrabs)

lcrabs is a data frame, crabs$sex is a factor.


The general form is factor ~ var1 + var2 + ... + varn

where vari had better be numerical variates.  There are first looked for
in the data frame supplied as the data argument, if any.