| withincoinertia {ade4} | R Documentation |
Performs a within-class analysis after a coinertia analysis
withincoinertia(obj, fac, scannf = TRUE, nf = 2) ## S3 method for class 'coinertia' wca(x, fac, scannf = TRUE, nf = 2, ...)
obj |
a coinertia analysis (object of class coinertia) obtained by the function coinertia |
x |
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 |
... |
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
To avoid conflict names with the base:::within function, the
function within is now deprecated and will be removed. To be
consistent, the withincoinertia function is also deprecated and
is replaced by the method wca.coinertia of the generic wca function.
Stephane Dray stephane.dray@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$env, scan = FALSE, nf = 4) pca2 <- dudi.pca(meaudret$spe, scal = FALSE, scan = FALSE, nf = 4) wit1 <- wca(pca1, meaudret$design$site, scan = FALSE, nf = 2) wit2 <- wca(pca2, meaudret$design$site, scan = FALSE, nf = 2) coiw <- coinertia(wit1, wit2, scannf = FALSE) coi <- coinertia(pca1, pca2, scannf = FALSE, nf = 3) coi.w <- wca(coi, meaudret$design$site, scannf = FALSE) ## coiw and coi.w are equivalent plot(coi.w)