#' Plot log2 fold changes across replicates (significant hits get highlighted).
#'
#' \code{plot_scatterRIC} generates a multi-scatter plot for log2 fold changes
#' across replicates for two given conditions.
#'
#' @param tabletoplot Dataframe
#' First element of list output from \code{\link{test_moderateRIC}}
#' @param intensitiestoplot Matrix
#' Second element of l=list output from \code{\link{test_moderateRIC}}
#' @examples
#' if(interactive()){
#' test_moderateRIC(aggregatedWCL_batch)[[1]]$diff_hour18_hour4 -> tabletoplotWCL
#' test_moderateRIC(aggregatedWCL_batch)[[2]]$diff_hour18_hour4 -> intensitiestoploWCL
#' plot_scatterRIC(tabletoplotWCL,intensitiestoploWCL)
#' }
#' @return A matrix of scatterplots
#' @export
plot_scatterRIC <- function (tabletoplot,intensitiestoplot) {
assertthat::assert_that(is.data.frame(tabletoplot),
is.matrix(intensitiestoplot))
if(!(grep("p.adj",colnames(tabletoplot)))){
stop(paste0("p.adj \n",
"is not in ",
colnames(tabletoplot) ),
call. = FALSE)
}
col = ifelse(tabletoplot$p.adj <= 0.1, "orange", "gray")
col[which(tabletoplot$p.adj <= 0.05)] = "firebrick1"
col[which(tabletoplot$p.adj <= 0.01)] = "firebrick"
col[which(tabletoplot$p.adj <= 0.1 & tabletoplot$log2FC < 0)] = "turquoise1"
col[which(tabletoplot$p.adj <= 0.05 & tabletoplot$log2FC < 0)] = "turquoise4"
col[which(tabletoplot$p.adj <= 0.01 & tabletoplot$log2FC < 0)] = "blue"
pairs(intensitiestoplot,col=col, pch=19,labels = c("Replicate 1", "Replicate 2", "Replicate 3"))
}
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