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The ade4 Package - NexTag Supports Open Source Initiatives

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86 dudi.fca<br />

Usage<br />

prep.fuzzy.var (df, col.blocks, row.w = rep(1, nrow(df)))<br />

dudi.fca(df, scannf = TRUE, nf = 2)<br />

dudi.fpca(df, scannf = TRUE, nf = 2)<br />

Arguments<br />

df<br />

col.blocks<br />

row.w<br />

scannf<br />

nf<br />

a data frame containing positive or null values<br />

a vector containing the number of categories for each fuzzy variable<br />

a vector of row weights<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 />

Value<br />

<strong>The</strong> function prep.fuzzy.var returns a data frame with the attribute col.blocks. <strong>The</strong> function<br />

dudi.fca returns a list of class fca and dudi (see dudi) containing also<br />

cr<br />

cent<br />

norm<br />

blo<br />

indica<br />

FST<br />

inertia<br />

a data frame which rows are the blocs, columns are the kept axes, and values are<br />

the correlation ratios.<br />

normal-bracket41bracket-normal<br />

Author(s)<br />

Daniel Chessel<br />

Anne B Dufour 〈dufour@biomserv.univ-lyon1.fr〉<br />

References<br />

Chevenet, F., Dolédec, S. and Chessel, D. (1994) A fuzzy coding approach for the analysis of<br />

long-term ecological data. Freshwater Biology, 31, 295–309.<br />

Examples<br />

w1

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