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"suprow" <- function (x, ...) UseMethod("suprow")
"predict.dudi" <- function(object, newdata, ...){
return(suprow(x = object, Xsup = newdata, ...)$lisup)
}
"suprow.coa" <- function (x, Xsup, ...) {
Xsup <- data.frame(Xsup)
if (!inherits(x, "dudi"))
stop("Object of class 'dudi' expected")
if (!inherits(x, "coa"))
stop("Object of class 'coa' expected")
if (!inherits(Xsup, "data.frame"))
stop("Xsup is not a data.frame")
if (ncol(Xsup) != ncol(x$tab))
stop("non convenient col numbers")
lwsup <- apply(Xsup, 1, sum)
lwsup[lwsup == 0] <- 1
Xsup <- sweep(Xsup, 1, lwsup, "/")
coosup <- as.matrix(Xsup) %*% as.matrix(x$c1)
coosup <- data.frame(coosup, row.names = row.names(Xsup))
names(coosup) <- names(x$li)
# bug 25/11/2004 On reproduisait bien les coordonnées supplémentaires
# mais pas les valeurs du tableau, donc pas de transferts possibles en inter-intra
# voir fiche QR8
cwsup <- x$cw
cwsup[cwsup == 0] <- 1
Xsup <- sweep(Xsup, 2, cwsup, "/")
# le centrage n'est pas indispensable
Xsup <- Xsup-1
Xsup[,cwsup == 1] <- 0
return(list(tabsup = Xsup, lisup = coosup))
}
"suprow.dudi" <- function (x, Xsup, ...) {
# modif pour Culhane, Aedin" <a.culhane@ucc.ie>
# suprow renvoie une liste à deux éléments tabsup et lisup
warning("The use of the 'suprow.dudi' method requires that the
supplementary table has been transformed as the original table")
Xsup <- data.frame(Xsup)
if (!inherits(x, "dudi"))
stop("Object of class 'dudi' expected")
if (!inherits(Xsup, "data.frame"))
stop("Xsup is not a data.frame")
if (ncol(Xsup) != ncol(x$tab))
stop("non convenient col numbers")
# bug 25/11/2004 vue par fiche QR8
coosup <- as.matrix(Xsup) %*% (as.matrix(x$c1) * x$cw)
coosup <- data.frame(coosup, row.names = row.names(Xsup))
names(coosup) <- names(x$li)
return(list(tabsup = Xsup, lisup = coosup))
}
"suprow.pca" <- function (x, Xsup, ...) {
Xsup <- data.frame(Xsup)
if (!inherits(x, "dudi"))
stop("Object of class 'dudi' expected")
if (!inherits(x, "pca"))
stop("Object of class 'pca' expected")
if (!inherits(Xsup, "data.frame"))
stop("Xsup is not a data.frame")
if (ncol(Xsup) != ncol(x$tab))
stop("non convenient col numbers")
f1 <- function(w) (w - x$cent)/x$norm
Xsup <- t(apply(Xsup, 1, f1))
coosup <- as.matrix(Xsup) %*% (as.matrix(x$c1) * x$cw)
coosup <- data.frame(coosup, row.names = row.names(Xsup))
names(coosup) <- names(x$li)
return(list(tabsup = Xsup, lisup = coosup))
}
"suprow.acm" <- function (x, Xsup, ...) {
Xsup <- data.frame(Xsup)
if (!inherits(x, "dudi"))
stop("Object of class 'dudi' expected")
if (!inherits(x, "acm"))
stop("Object of class 'acm' expected")
if (!inherits(Xsup, "data.frame"))
stop("Xsup is not a data.frame")
if (ncol(Xsup) != nrow(x$cr))
stop("non convenient col numbers")
appel <- as.list(x$call)
Xori <- as.data.frame(eval.parent(appel$df))
for(j in 1:ncol(Xsup)){
## modify Xsup to ensure that factors have the same levels
## than the original table
Xsup[,j] <- factor(Xsup[,j], levels = levels(Xori[,j]))
if(any(is.na(Xsup[,j])))
stop(paste("the factor", names(Xsup)[j] ,"in Xsup contains unknown levels)"))
}
nvar <- ncol(Xsup)
Xsup <- acm.disjonctif(Xsup)
Xsup <- t(t(Xsup)/ (x$cw * nvar)) - 1
coosup <- Xsup %*% (as.matrix(x$c1) * x$cw)
coosup <- data.frame(coosup, row.names = row.names(Xsup))
names(coosup) <- names(x$li)
return(list(tabsup = Xsup, lisup = coosup))
}
"suprow.mix" <- function (x, Xsup, ...) {
Xsup <- data.frame(Xsup)
appel <- as.list(x$call)
if (!inherits(x, "dudi"))
stop("Object of class 'dudi' expected")
if (!inherits(x, "mix"))
stop("Object of class 'mix' expected")
if (appel[[1]] != "dudi.hillsmith")
stop("Not yet implemented for 'dudi.mix'. Please use 'dudi.hillsmith'.")
if (!inherits(Xsup, "data.frame"))
stop("Xsup is not a data.frame")
if (ncol(Xsup) != nrow(x$cr))
stop("non convenient col numbers")
Xori <- as.data.frame(eval.parent(appel$df))
res <- matrix(0, nrow(Xsup), 1)
for(j in 1:ncol(Xsup)){
if (x$index[j] == "q") {
var.tmp <- scale(Xsup[,j], scale = x$norm[j], center = x$center[j])
res <- cbind(res, var.tmp)
} else if(x$index[j] == "f"){
## modify Xsup to ensure that factors have the same levels
## than the original table
Xsup[,j] <- factor(Xsup[,j], levels = levels(factor(Xori[,j])))
if(any(is.na(Xsup[,j])))
stop(paste("the factor", names(Xsup)[j] ,"in Xsup contains unknown levels)"))
var.tmp <- fac2disj(Xsup[, j], drop = FALSE)
col.w <- x$cw[x$assign == j]
var.tmp <- t(t(var.tmp)/col.w) - 1
res <- cbind(res, var.tmp)
}
}
res <- res[,-1]
coosup <- res %*% (as.matrix(x$c1) * x$cw)
coosup <- data.frame(coosup, row.names = row.names(Xsup))
names(coosup) <- names(x$li)
res <- data.frame(res, row.names = row.names(Xsup))
names(res) <- names(x$tab)
return(list(tabsup = res, lisup = coosup))
}
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