CAIV.plot {CoCoAn} | R Documentation |
CAIV
performs correspondence analysis or
constrained correspondence analysis.
CAIV.plot
allows a two-dimensional representation (biplot) of row,
column and coefficients of variables.
CAIV.plot(obj, x=1, y=2, add.row=TRUE, add.col=TRUE, add.var=FALSE, row.names="", col.names="", var.names="")
obj |
an object created by the CAIV function |
x |
an integer that defines which score corresponds to x axis |
y |
an integer that defines which score corresponds to y axis |
add.row |
TRUE to add rows on biplot FALSE otherwise |
add.col |
TRUE to add columns on biplot FALSE otherwise |
add.var |
TRUE to add variables on biplot FALSE otherwise (only for constrained analysis) |
row.names |
a vector of strings containing row names (Ri otherwise) |
col.names |
a vector of strings containing columns names (Ci otherwise) |
var.names |
a vector of strings containing variables names (Vari otherwise) |
Stephane DRAY dray@biomserv.univ-lyon1.fr
## correspondence analysis L <- matrix(c(4,2,0,2,0,5,1,3,2,4,0,2,2,0,3,1),4,4) CAIV.plot(CAIV(L)) CAIV.plot(CAIV(L),row.names=c("a","b","c","d")) ## canonical correspondence analysis E <- matrix(c(1.5,2.3,2,1.6,0.9,0.8,1.2,1.5),4,2) CAIV.plot(CAIV(L,E)) CAIV.plot(CAIV(L,E),add.var=TRUE)