1d:T783,# Compute Mean and Differences of Scores for Each Condition This function calculates the mean values, mean Fx (ECDF) and ECDF differences (Fx) for expression data, across different experimental conditions. If only one condition is provided, skips computation of mean differences. ```r meandifference(resultsecdf, expdf, nbwindows, showtime = FALSE, verbose = TRUE) ``` ## Arguments - `resultsecdf`: A data frame containing ECDF results for each transcript and condition (see genesECDF). - `expdf`: A data frame containing experiment data that should have columns named 'condition', 'replicate', 'strand', and 'path'. - `nbwindows`: An integer representing the number of windows (or segments) in each transcript. - `showtime`: A logical value indicating if the duration of the function processing should be indicated before ending. Defaults to `FALSE`. - `verbose`: A logical flag indicating whether to print progress messages. Defaults to `TRUE`. ## Returns A data frame that contains, for each condition: * Mean values for the "value" and "Fx" columns (e.g., `mean_value_ctrl`, `mean_Fx_ctrl`). * Differences between the `Fx` column and coordinate ratios (e.g., `diff_Fx_ctrl`). If only one condition is provided, the differences on mean columns are not performed. ## Examples ```r exppath <- system.file("extdata", "exptab.csv", package="tepr") transpath <- system.file("extdata", "cugusi_6.tsv", package="tepr") expthres <- 0.1 ## Calculating necessary results expdf <- read.csv(exppath) transdf <- read.delim(transpath, header = FALSE) avfilt <- averageandfilterexprs(expdf, transdf, expthres, showtime = FALSE, verbose = FALSE) countna <- countna(avfilt, expdf, nbcpu = 1, verbose = FALSE) ecdf <- genesECDF(avfilt, expdf, verbose = FALSE) resecdf <- ecdf[[1]] nbwindows <- ecdf[[2]] ## Testing meandifference meandifftest <- meandifference(resecdf, expdf, nbwindows, verbose = FALSE) ```

meandifference function