withincoinertia {ade4} | R Documentation |
Performs a within-class analysis after a coinertia analysis
withincoinertia(obj, fac, scannf = TRUE, nf = 2) ## S3 method for class 'witcoi': plot(x, xax = 1, yax = 2, ...) ## S3 method for class 'witcoi': print(x, ...)
obj |
a coinertia analysis (object of class coinertia) obtained by the function coinertia |
fac |
a factor partitioning the rows in classes |
scannf |
a logical value indicating whether the eigenvalues barplot should be displayed |
nf |
if scannf FALSE, an integer indicating the number of kept axes |
xax |
the axis number to be plotted for the x-axis |
yax |
the axis number to be plotted for the y-axis |
x |
an object of class witcoi |
... |
further arguments passed to or from other methods |
This analysis is equivalent to do a within-class analysis on each initial dudi, and a coinertia analysis on the two within analyses. This function returns additional outputs for the interpretation.
An object of the class witcoi
. Outputs are described by the
print
function
Stephane Dray dray@biomserv.univ-lyon1.fr and Jean Thioulouse jean.thioulouse@univ-lyon1.fr
Franquet E., Doledec S., and Chessel D. (1995) Using multivariate analyses for separating spatial and temporal effects within species-environment relationships. Hydrobiologia, 300, 425–431.
data(meaudret) pca1 <- dudi.pca(meaudret$mil, scan = FALSE, nf = 4) pca2 <- dudi.pca(meaudret$fau, scal = FALSE, scan = FALSE, nf = 4) wit1 <- within(pca1, meaudret$plan$sta, scan = FALSE, nf = 2) wit2 <- within(pca2, meaudret$plan$sta, scan = FALSE, nf = 2) coiw <- coinertia(wit1, wit2, scannf = FALSE) coi <- coinertia(pca1,pca2,scannf = FALSE,nf=3) coi.w <- withincoinertia(coi,meaudret$plan$sta, scannf = FALSE) ## coiw and coi.w are equivalent plot(coi.w)