Mercurial > repos > george-weingart > maaslin
view maaslin-4450aa4ecc84/src/lib/IO.R @ 1:a87d5a5f2776
Uploaded the version running on the prod server
author | george-weingart |
---|---|
date | Sun, 08 Feb 2015 23:08:38 -0500 |
parents | |
children |
line wrap: on
line source
##################################################################################### #Copyright (C) <2012> # #Permission is hereby granted, free of charge, to any person obtaining a copy of #this software and associated documentation files (the "Software"), to deal in the #Software without restriction, including without limitation the rights to use, copy, #modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, #and to permit persons to whom the Software is furnished to do so, subject to #the following conditions: # #The above copyright notice and this permission notice shall be included in all copies #or substantial portions of the Software. # #THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, #INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A #PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT #HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION #OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE #SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # # This file is a component of the MaAsLin (Multivariate Associations Using Linear Models), # authored by the Huttenhower lab at the Harvard School of Public Health # (contact Timothy Tickle, ttickle@hsph.harvard.edu). ##################################################################################### inlinedocs <- function( ##author<< Curtis Huttenhower <chuttenh@hsph.harvard.edu> and Timothy Tickle <ttickle@hsph.harvard.edu> ##description<< Collection of functions centered on custom reading of data and some IO services. ) { return( pArgs ) } #Project Constants c_astrNA <- c(""," "," ","NA","na") #Do not report warnings options(warn=-1) funcWriteMatrixToReadConfigFile = function( ### Writes a read config file. Will write over a file by default strConfigureFileName, ### Matrix that will be read strMatrixName, ### Name of matrix that will be read strRowIndices=NA, ### Rows which will be Read (TSV) by default all will be read strColIndices=NA, ### Cols which will be Read (TSV) by default all will be read acharDelimiter=c_strDefaultMatrixDelimiter, ### Delimiter for the matrix that will be read in\ fAppend=FALSE ### Append to a current read config file ){ #If no append delete previous file if(!fAppend){unlink(strConfigureFileName)} #Make delimiter readable switch(acharDelimiter, "\t" = {acharDelimiter = "TAB"}, " " = {acharDelimiter = "SPACE"}, "\r" = {acharDelimiter = "RETURN"}, "\n" = {acharDelimiter = "ENDLINE"}) #Manage NAs if(is.na(strRowIndices)){strRowIndices="-"} if(is.na(strColIndices)){strColIndices="-"} #Required output lsDataLines = c(paste(c_MATRIX_NAME,strMatrixName,sep=" "), paste(c_DELIMITER,acharDelimiter,sep=" "), paste(c_ID_ROW,"1",sep=" "), paste(c_ID_COLUMN,"1",sep=" "), paste(c_TSVROWS,strRowIndices,sep=" "), paste(c_TSVCOLUMNS,strColIndices,sep=" ")) lsDataLines = c(lsDataLines,"\n") #Output to file lapply(lsDataLines, cat, file=strConfigureFileName, sep="\n", append=TRUE) } funcWriteMatrices = function( ### Write data frame data files with config files dataFrameList, ### A named list of data frames (what you get directly from the read function) saveFileList, ### File names to save the data matrices in (one name per data frame) configureFileName, ### Name of the configure file to be written which will direct the reading of these data acharDelimiter=c_strDefaultMatrixDelimiter, ### Matrix delimiter log = FALSE ### Indicates if logging should occur ){ #Get names dataFrameNames = names(dataFrameList) #Get length of dataFrameList dataFrameListLength = length(dataFrameList) #Get length of save file list saveFileListLength = length(saveFileList) #If the save file list length and data frame list length are not equal, abort if(!saveFileListLength == dataFrameListLength) {stop(paste("Received a length of save files (",saveFileListLength,") that are different from the count of data frames (",dataFrameListLength,"). Stopped and returned false."),sep="")} #Delete the old config file unlink(configureFileName) #For each data save for (dataIndex in c(1:dataFrameListLength)) { #Current data frame data = dataFrameList[[dataIndex]] #Get column count columnCount = ncol(data) #Get row and column names rowNames = row.names(data) rowNamesString = paste(rowNames,sep="",collapse=",") if(length(rowNamesString)==0){rowNamesString = NA} columnNamesString = paste(colnames(data),sep="",collapse=",") if(length(columnNamesString)==0){columnNamesString = NA} #Get row indices rowStart = 1 if(!is.na(rowNamesString)){rowStart = 2} rowEnd = nrow(data)+rowStart - 1 rowIndices = paste(c(rowStart:rowEnd),sep="",collapse=",") #Get col indices colStart = 1 if(!is.na(columnNamesString)){ colStart = 2} colEnd = columnCount+colStart - 1 colIndices = paste(c(colStart:colEnd),sep="",collapse=",") #Write Data to file write.table(data, saveFileList[dataIndex], quote = FALSE, sep = acharDelimiter, col.names = NA, row.names = rowNames, na = "NA", append = FALSE) #Write the read config file funcWriteMatrixToReadConfigFile(strConfigureFileName=configureFileName, strMatrixName=dataFrameNames[dataIndex], strRowIndices=rowIndices, strColIndices=colIndices, acharDelimiter=acharDelimiter, fAppend=TRUE) } return(TRUE) } funcReadMatrices = function( ### Dynamically Read a Matrix/Matrices from a configure file configureFile, ### Read config file to guide reading in data defaultFile = NA, ### Default data file to read log = FALSE ){ #Named vector to return data frames read returnFrames = list() #Holds the names of the frames as they are being added returnFrameNames = c() returnFramesIndex = 1 #Read in config file info #Read each data block extracted from the config file lsDataBlocks <- funcReadConfigFile(configureFile, defaultFile) if(!length(lsDataBlocks)) { astrMetadata <- NULL astrMetadata[2] <- defaultFile astrMetadata[5] <- "2" astrData <- NULL astrData[2] <- defaultFile astrData[5] <- "3-" lsDataBlocks <- list(astrMetadata, astrData) } for(dataBlock in lsDataBlocks) { #Read in matrix returnFrames[[returnFramesIndex]] = funcReadMatrix(tempMatrixName=dataBlock[1], tempFileName=dataBlock[2], tempDelimiter=dataBlock[3], tempColumns=dataBlock[5], tempRows=dataBlock[4], tempLog=log) returnFrameNames = c(returnFrameNames,dataBlock[1]) returnFramesIndex = returnFramesIndex + 1 } names(returnFrames) = returnFrameNames return(returnFrames) } funcReadMatrix = function( ### Read one matrix ### The name to give the block of data read in from file tempMatrixName, ### ID rows and columns are assumed to be 1 tempFileName=NA, ### Data file to read tempDelimiter=NA, ### Data matrix delimiter tempColumns=NA, ### Data columns to read tempRows=NA, ### Data rows to read tempLog=FALSE ### Indicator to log ){ if(is.na(tempDelimiter)){tempDelimiter <- c_strDefaultMatrixDelimiter} if(is.na(tempColumns)){tempColumns <- c_strDefaultReadCols} if(is.na(tempRows)){tempRows <- c_strDefaultReadRows} #Check parameter and make sure not NA if(is.na(tempMatrixName)){tempMatrixName <- ""} if(!funcIsValid(tempMatrixName)){stop(paste("Did not receive a valid matrix name, received ",tempMatrixName,"."))} #Check to make sure there is a file name for the matrix if(! funcIsValidFileName(tempFileName)) {stop(paste("No valid file name is given for the matrix ",tempMatrixName," from file: ",tempFileName,". Please add a valid file name to read the matrix from.", sep=""))} #Read in superset matrix and give names if indicated #Read in matrix dataMatrix = read.table(tempFileName, sep = tempDelimiter, as.is = TRUE, na.strings=c_astrNA, quote = "", comment.char = "") dataFrameDimension = dim(dataMatrix) #Get column names columnNameList = as.matrix(dataMatrix[1,]) rowNameList = dataMatrix[1][[1]] #Convert characters to vectors of indices tempColumns = funcParseIndexSlices(ifelse(is.na(tempColumns),"-",tempColumns), columnNameList) tempRows = funcParseIndexSlices(ifelse(is.na(tempRows),"-", tempRows), rowNameList) #Check indices #Check to make sure valid id col/rows and data col/rows if((!funcIsValid(tempColumns)) || (!funcIsValid(tempRows))) {stop(paste("Received invalid row or col. Rows=",tempRows," Cols=", tempColumns))} #Check to make sure only 1 row id is given and it is not repeated in the data rows if(length(intersect(1,tempColumns)) == 1) {stop(paste("Index indicated as an id row but was found in the data row indices, can not be both. Index=1 Data indices=",tempColumns,sep=""))} #Check to make sure only one col id is given and it is not repeated in the data columns #Id row/col should not be in data row/col if(length(intersect(1, tempRows)) == 1) {stop(paste("Index indicated as an id column but was found in the data column indices, can not be both. ID Index=1 Data Indices=", tempRows,".",sep=""))} #If the row names have the same length as the column count and has column names #it is assumed that the tempIdCol index item is associated with the column names. #Visa versa for rows, either way it is removed #Remove ids from name vector rowNameList = rowNameList[(-1)] #Remove ids from data dataMatrix = dataMatrix[(-1)] #Adjust row ids given the removal of the id row tempColumns=(tempColumns-1) ## Remove id rows/columns and set row/col names #Remove ids from vector columnNameList = columnNameList[(-1)] #Remove ids from data dataMatrix = dataMatrix[(-1),] #Adjust column ids given the removal of the id column tempRows =(tempRows-1) #Add row and column names row.names(dataMatrix) = as.character(rowNameList) colnames(dataMatrix) = as.character(columnNameList) #Reduce matrix #Account for when both column ranges and row ranges are given or just a column or a row range is given dataMatrix = dataMatrix[tempRows, tempColumns, drop=FALSE] #Set all columns data types to R guessed default for(i in 1:ncol(dataMatrix)){ dataMatrix[,i] <- type.convert(dataMatrix[,i], na.strings = c_astrNA)} #Return matrix return(dataMatrix) } funcReadConfigFile = function( ### Reads in configure file and extracts the pieces needed for reading in a matrix configureFile, ### Configure file = string path to configure file defaultFile = NA ### Used to set a default data file ){ #Read configure file fileDataList <- list() if(!is.null( configureFile ) ) { fileDataList <- scan( file = configureFile, what = character(), sep="\n", quiet=TRUE) } newList = list() for(sLine in fileDataList) { sLine = gsub("\\s","",sLine) vUnits = unlist(strsplit(sLine,":")) if(length(vUnits)>1) { vUnits[1] = paste(vUnits[1],":",sep="") newList[[length(newList)+1]] = vUnits } } fileDataList = unlist(newList) matrixName <- NA fileName <- defaultFile #Hold information on matrices to be read matrixInformationList = list() matrixInformationListCount = 1 for(textIndex in c(1:length(fileDataList))) { if(textIndex > length(fileDataList)) {break} #Start at the Matrix name #Keep this if statement first so that you scan through until you find a matrix block if(fileDataList[textIndex] == c_MATRIX_NAME) { #If the file name is not NA then that is sufficient for a matrix, store #Either way reset if(funcIsValid(fileName)&&funcIsValid(matrixName)) { matrixInformationList[[matrixInformationListCount]] = c(matrixName,fileName,delimiter,rows,columns) matrixInformationListCount = matrixInformationListCount + 1 } #Get the matrix name and store matrixName = fileDataList[textIndex + 1] fileName = defaultFile delimiter = "\t" rows = NA columns = NA #If is not matrix name and no matrix name is known skip until you find the matrix name #If matrix name is known, continue to collect information about that matrix } else if(is.na(matrixName)){next} #Parse different keywords strParseKey = fileDataList[textIndex] if(strParseKey == c_FILE_NAME){fileName=fileDataList[textIndex+1]} else if(strParseKey==c_FILE_NAME){fileName=fileDataList[textIndex+1]} else if(strParseKey %in% c(c_TSVROWS,c_PCLCOLUMNS,c_ROWS)){rows=fileDataList[textIndex+1]} else if(strParseKey %in% c(c_TSVCOLUMNS,c_PCLROWS,c_COLUMNS)){columns=fileDataList[textIndex+1]} else if(strParseKey==c_DELIMITER) { switch(fileDataList[textIndex + 1], "TAB" = {delimiter = "\t"}, "SPACE" = {delimiter = " "}, "RETURN" = {delimiter = "\r"}, "ENDLINE" = {delimiter = "\n"}) } } #If there is matrix information left if((!is.na(matrixName)) && (!is.na(fileName))) { matrixInformationList[[matrixInformationListCount]] = c(matrixName,fileName,delimiter,rows,columns) matrixInformationListCount = matrixInformationListCount + 1 } return(matrixInformationList) } funcParseIndexSlices = function( ### Take a string of comma or dash seperated integer strings and convert into a vector ### of integers to use in index slicing strIndexString, ### String to be parsed into indicies vector cstrNames ### Column names of the data so names can be resolved to indicies ){ #If the slices are NA then return if(is.na(strIndexString)){return(strIndexString)} #List of indices to return viRetIndicies = c() #Split on commas lIndexString = sapply(strsplit(strIndexString, c_COMMA),function(x) return(x)) for(strIndexItem in lIndexString) { #Handle the - case if(strIndexItem=="-"){strIndexItem = paste("2-",length(cstrNames),sep="")} #Split on dash and make sure it makes sense lItemElement = strsplit(strIndexItem, c_DASH)[[1]] if(length(lItemElement)>2){stop("Error in index, too many dashes, only one is allowed. Index = ",strIndexItem,sep="")} #Switch names to numbers aiIndices = which(is.na(as.numeric(lItemElement))) for( iIndex in aiIndices ) { lItemElement[iIndex] = which(cstrNames==lItemElement[iIndex])[1] } #Make numeric liItemElement = unlist(lapply(lItemElement, as.numeric)) #If dash is at the end or the beginning add on the correct number if(substr(strIndexItem,1,1)==c_DASH){liItemElement[1]=2} if(substr(strIndexItem,nchar(strIndexItem),nchar(strIndexItem))==c_DASH){liItemElement[2]=length(cstrNames)} #If multiple numbers turn to a slice if(length(liItemElement)==2){liItemElement = c(liItemElement[1]:liItemElement[2])} #Update indices viRetIndicies = c(viRetIndicies, liItemElement) } if(length(viRetIndicies)==0){return(NA)} return(sort(unique(viRetIndicies))) ### Sorted indicies vector }