Mercurial > repos > ethevenot > batchcorrection
view runit/batchcorrection_runtests.R @ 0:b74d1d533dea draft default tip
planemo upload for repository https://github.com/workflow4metabolomics/batchcorrection.git commit 241fb99a843e13195c5054cd9731e1561f039bde
author | ethevenot |
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date | Thu, 04 Aug 2016 11:40:35 -0400 |
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#!/usr/bin/env Rscript ## Package ##-------- library(RUnit) ## Constants ##---------- testOutDirC <- "output" argVc <- commandArgs(trailingOnly = FALSE) scriptPathC <- sub("--file=", "", argVc[grep("--file=", argVc)]) ## Functions ##----------- ## Reading tables (matrix or data frame) readTableF <- function(fileC, typeC = c("matrix", "dataframe")[1]) { file.exists(fileC) || stop(paste0("No output file \"", fileC ,"\".")) switch(typeC, matrix = return(t(as.matrix(read.table(file = fileC, header = TRUE, row.names = 1, sep = "\t", stringsAsFactors = FALSE)))), dataframe = return(read.table(file = fileC, header = TRUE, row.names = 1, sep = "\t", stringsAsFactors = FALSE))) } ## Call wrapper wrapperCallF <- function(paramLs, allLoessL) { ## Set program path wrapperPathC <- file.path(dirname(scriptPathC), "..", ifelse(allLoessL, "batch_correction_all_loess_wrapper.R", "batch_correction_wrapper.R")) ## Set arguments argLs <- NULL for (parC in names(paramLs)) argLs <- c(argLs, parC, paramLs[[parC]]) ## Call wrapperCallC <- paste(c(wrapperPathC, argLs), collapse = " ") if(.Platform$OS.type == "windows") wrapperCallC <- paste("Rscript", wrapperCallC) print(wrapperCallC) wrapperCodeN <- system(wrapperCallC) if (wrapperCodeN != 0) stop(paste0("Error when running 'batch_correction_", ifelse(allLoessL, "all_loess_", ""), "wrapper.R'")) ## Get output outLs <- list() if ("dataMatrix_out" %in% names(paramLs)) outLs[["datMN"]] <- readTableF(paramLs[["dataMatrix_out"]], "matrix") if ("sampleMetadata_out" %in% names(paramLs)) outLs[["samDF"]] <- readTableF(paramLs[["sampleMetadata_out"]], "dataframe") if ("variableMetadata_out" %in% names(paramLs)) outLs[["varDF"]] <- readTableF(paramLs[["variableMetadata_out"]], "dataframe") if("information" %in% names(paramLs)) outLs[["infVc"]] <- readLines(paramLs[["information"]]) if("out_preNormSummary" %in% names(paramLs)) outLs[["sumDF"]] <- readTableF(paramLs[["out_preNormSummary"]], "dataframe") return(outLs) } ## Setting default parameters defaultArgF <- function(testInDirC, determineL) { defaultArgLs <- list() if(file.exists(file.path(dirname(scriptPathC), testInDirC, "dataMatrix.tsv"))) defaultArgLs[["dataMatrix"]] <- file.path(dirname(scriptPathC), testInDirC, "dataMatrix.tsv") if(file.exists(file.path(dirname(scriptPathC), testInDirC, "sampleMetadata.tsv"))) defaultArgLs[["sampleMetadata"]] <- file.path(dirname(scriptPathC), testInDirC, "sampleMetadata.tsv") if(!determineL) if(file.exists(file.path(dirname(scriptPathC), testInDirC, "variableMetadata.tsv"))) defaultArgLs[["variableMetadata"]] <- file.path(dirname(scriptPathC), testInDirC, "variableMetadata.tsv") if(determineL) { ## determinebc defaultArgLs[["out_graph_pdf"]] <- file.path(dirname(scriptPathC), testOutDirC, "out_graph.pdf") defaultArgLs[["out_preNormSummary"]] <- file.path(dirname(scriptPathC), testOutDirC, "preNormSummary.txt") } else { ## batchcorrection defaultArgLs[["dataMatrix_out"]] <- file.path(dirname(scriptPathC), testOutDirC, "dataMatrix.tsv") defaultArgLs[["variableMetadata_out"]] <- file.path(dirname(scriptPathC), testOutDirC, "variableMetadata.tsv") defaultArgLs[["variable_for_simca"]] <- file.path(dirname(scriptPathC), testOutDirC, "variable_for_simca.tsv") defaultArgLs[["graph_output"]] <- file.path(dirname(scriptPathC), testOutDirC, "graph_output.pdf") defaultArgLs[["rdata_output"]] <- file.path(dirname(scriptPathC), testOutDirC, "rdata_output.rdata") } defaultArgLs } ## Main ##----- ## Create output folder file.exists(testOutDirC) || dir.create(testOutDirC) ## Run tests test.suite <- defineTestSuite('tests', dirname(scriptPathC), testFileRegexp = paste0('^.*_tests\\.R$'), testFuncRegexp = '^.*$') isValidTestSuite(test.suite) test.results <- runTestSuite(test.suite) print(test.results)