diff mixmodel_wrapper.R @ 0:1422de181204 draft

planemo upload for repository https://github.com/workflow4metabolomics/mixmodel4repeated_measures commit 6ea32b3182383c19e5333201d2385a61d8da3d50

--- /dev/null	Thu Jan 01 00:00:00 1970 +0000
+++ b/mixmodel_wrapper.R	Wed Oct 10 05:18:42 2018 -0400
@@ -0,0 +1,164 @@
+#!/usr/bin/env Rscript
+
+library(batch) ## parseCommandArgs
+
+library(lme4)     ## mixed model computing
+library(Matrix)
+library(lmerTest) ## computing pvalue and lsmeans from results of lme4 package 
+library(multtest) ## multiple testing
+
+
+source_local <- function(fname){
+    argv <- commandArgs(trailingOnly = FALSE)
+    base_dir <- dirname(substring(argv[grep("--file=", argv)], 8))
+    source(paste(base_dir, fname, sep="/"))
+}
+
+#source_local("univariate_script.R")
+source_local("mixmodel_script.R")
+source_local("diagmfl.R")
+
+argVc <- unlist(parseCommandArgs(evaluate=FALSE))
+
+##------------------------------
+## Initializing
+##------------------------------
+
+## options
+##--------
+
+strAsFacL <- options()$stringsAsFactors
+options(stringsAsFactors = FALSE)
+
+## constants
+##----------
+
+modNamC <- "mixmodel" ## module name
+
+topEnvC <- environment()
+flagC <- "\n"
+
+## functions
+##----------
+
+flgF <- function(tesC,
+                 envC = topEnvC,
+                 txtC = NA) { ## management of warning and error messages
+
+    tesL <- eval(parse(text = tesC), envir = envC)
+
+    if(!tesL) {
+
+        sink(NULL)
+        stpTxtC <- ifelse(is.na(txtC),
+                          paste0(tesC, " is FALSE"),
+                          txtC)
+
+        stop(stpTxtC,
+             call. = FALSE)
+
+    }
+
+} ## flgF
+
+## log file
+##---------
+
+sink(argVc["information"])
+
+cat("\nStart of the '", modNamC, "' Galaxy module call: ", format(Sys.time(), "%a %d %b %Y %X"), "\n", sep="")
+
+## loading
+##--------
+
+datMN <- t(as.matrix(read.table(argVc["dataMatrix_in"],
+                                check.names = FALSE,
+                                header = TRUE,
+                                row.names = 1,
+                                sep = "\t")))
+
+samDF <- read.table(argVc["sampleMetadata_in"],
+                    check.names = FALSE,
+                    header = TRUE,
+                    row.names = 1,
+                    sep = "\t")
+
+varDF <- read.table(argVc["variableMetadata_in"],
+                    check.names = FALSE,
+                    header = TRUE,
+                    row.names = 1,
+                    sep = "\t")
+
+
+## checking
+##---------
+
+flgF("identical(rownames(datMN), rownames(samDF))", txtC = "Column names of the dataMatrix are not identical to the row names of the sampleMetadata; check your data with the 'Check Format' module in the 'Quality Control' section")
+flgF("identical(colnames(datMN), rownames(varDF))", txtC = "Row names of the dataMatrix are not identical to the row names of the variableMetadata; check your data with the 'Check Format' module in the 'Quality Control' section")
+
+flgF("argVc['fixfact'] %in% colnames(samDF)", txtC = paste0("Required fixed factor '"  , argVc['fixfact'], "' could not be found in the column names of the sampleMetadata"))
+flgF("argVc['time']    %in% colnames(samDF)", txtC = paste0("Required time factor '"   , argVc['time']   , "' could not be found in the column names of the sampleMetadata"))
+flgF("argVc['subject'] %in% colnames(samDF)", txtC = paste0("Required subject factor '", argVc['subject'], "' could not be found in the column names of the sampleMetadata"))
+
+flgF("mode(samDF[, argVc['fixfact']]) %in% c('character', 'numeric')", txtC = paste0("The '", argVc['fixfact'], "' column of the sampleMetadata should contain either number only, or character only"))
+flgF("mode(samDF[, argVc['time']])    %in% c('character', 'numeric')", txtC = paste0("The '", argVc['time']   , "' column of the sampleMetadata should contain either number only, or character only"))
+flgF("mode(samDF[, argVc['subject']]) %in% c('character', 'numeric')", txtC = paste0("The '", argVc['subject'], "' column of the sampleMetadata should contain either number only, or character only"))
+
+flgF("argVc['adjC'] %in% c('holm', 'hochberg', 'hommel', 'bonferroni', 'BH', 'BY', 'fdr', 'none')")
+flgF("argVc['trf'] %in% c('none', 'log10', 'log2')")
+
+flgF("0 <= as.numeric(argVc['thrN']) && as.numeric(argVc['thrN']) <= 1", txtC = "(corrected) p-value threshold must be between 0 and 1")
+flgF("argVc['diaR'] %in% c('no', 'yes')")
+
+
+##------------------------------
+## Computation
+##------------------------------
+
+
+varDF <- lmixedm(datMN = datMN,
+                     samDF = samDF,
+                     varDF = varDF,
+                     fixfact    = argVc["fixfact"],
+                     time       = argVc["time"],
+                     subject    = argVc["subject"],
+                     logtr      = argVc['trf'], 
+                     pvalCutof  = argVc['thrN'],
+                     pvalcorMeth= argVc["adjC"], 
+                     dffOption  = "Satterthwaite",
+					      visu		= argVc["diaR"], 
+                     least.confounded = FALSE,
+                     outlier.limit = 3,
+					      pdfC     = argVc["out_graph_pdf"],
+						  pdfE	   = argVc["out_estim_pdf"]
+					      )
+
+
+##------------------------------
+## Ending
+##------------------------------
+
+
+## saving
+##--------
+
+varDF <- cbind.data.frame(variableMetadata = rownames(varDF),
+                          varDF)
+
+write.table(varDF,
+            file = argVc["variableMetadata_out"],
+            quote = FALSE,
+            row.names = FALSE,
+            sep = "\t")
+
+## closing
+##--------
+
+cat("\nEnd of '", modNamC, "' Galaxy module call: ",
+    as.character(Sys.time()), "\n", sep = "")
+
+sink()
+
+options(stringsAsFactors = strAsFacL)
+
+rm(list = ls())