#' Plot dendrogramm for Agilent microarray data
#'
#' Clustering tree by Hierarchical clustering algorithm.
#'
#' @param data microarray data. Only for \code{RGlist}, \code{MAlist} or \code{ELits} class objects.
#' @param methodDist method for Distance Matrix Computation. See \code{\link{dist}}. Default: {"euclidean"}.
#' @param methodHclust method for hierarchical cluster analysis. See \code{\link{hclust}}. Default: {"complete"}.
#' @param rotate if TRUE, rotates plot by 90 degrees. Default: {TRUE}.
#' @param title title
#' @param ... see \code{\link{ggdendrogram}}
#'
#' @export
gplotDendro <- function(data,
methodDist = "euclidean",
methodHclust = "complete",
rotate = TRUE,
title = NULL,
...){
if(inherits(data,"RGList")){
dannye = na.omit( suppressWarnings(log10(data$R/data$G)) )
} else if(inherits(data,"MAList")) {
dannye = data$M
} else if(inherits(data,c("EList", "EListRaw"))) {
dannye = data$E
} else {
stop("Data must RGList, MAList or EList class object", call. = FALSE)
}
if(is.null(title))
mytitle = paste("Distance:", methodDist, "/", "Hclust:", methodHclust)
else
mytitle = title
hc = hclust( dist( t(dannye), method = methodDist), method = methodHclust)
ggdendrogram(hc, rotate = rotate, size = 2, hang=-1, xlab = methodDist, ...) +
labs(title = mytitle)
}
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