Prefixed all the functions with gsa. in order to distinguish the methods from other possible methods of the same name in the namespace.
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@4738 348d0f76-0448-11de-a6fe-93d51630548a
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247f33a553
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@ -1,4 +1,4 @@
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.getargs.usage <- function(argspec, doc) {
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.gsa.getargs.usage <- function(argspec, doc) {
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cargs = commandArgs();
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usage = "Usage:";
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@ -34,7 +34,7 @@
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stop(call. = FALSE);
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}
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getargs <- function(argspec, doc = NA) {
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gsa.getargs <- function(argspec, doc = NA) {
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argsenv = new.env();
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for (argname in names(argspec)) {
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@ -66,7 +66,7 @@ getargs <- function(argspec, doc = NA) {
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cargs = commandArgs(TRUE);
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if (length(cargs) == 0) {
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.getargs.usage(argspec, doc);
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.gsa.getargs.usage(argspec, doc);
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}
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for (i in 1:length(cargs)) {
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@ -75,7 +75,7 @@ getargs <- function(argspec, doc = NA) {
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value = cargs[i+1];
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if (key == "h" | key == "help") {
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.getargs.usage(argspec, doc);
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.gsa.getargs.usage(argspec, doc);
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}
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if (length(grep("^[\\d\\.e\\+\\-]+$", value, perl=TRUE, ignore.case=TRUE)) > 0) {
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@ -1,11 +1,9 @@
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plot.venn <-
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gsa.plot.venn <-
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function(a, b, c=0, a_and_b, a_and_c=0, b_and_c=0,
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col=c("#FF6342", "#63C6DE", "#ADDE63"),
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pos=c(0.20, 0.20, 0.80, 0.82),
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debug=0
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) {
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print("This is the gsalib plot.venn function");
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library(png);
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library(graphics);
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@ -1,4 +1,4 @@
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.attemptToLoadFile <- function(filename) {
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.gsa.attemptToLoadFile <- function(filename) {
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file = NA;
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if (file.exists(filename) & file.info(filename)$size > 500) {
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@ -8,7 +8,7 @@
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file;
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}
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read.eval <-
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gsa.read.eval <-
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function(evalRoot) {
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fileAlleleCountStats = paste(evalRoot, ".AlleleCountStats.csv", sep="");
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fileCompOverlap = paste(evalRoot, ".Comp_Overlap.csv", sep="");
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@ -46,20 +46,20 @@ function(evalRoot) {
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CallsetFilteredNames = c()
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);
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eval$AlleleCountStats = .attemptToLoadFile(fileAlleleCountStats);
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eval$CompOverlap = .attemptToLoadFile(fileCompOverlap);
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eval$CountVariants = .attemptToLoadFile(fileCountVariants);
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eval$GenotypeConcordance = .attemptToLoadFile(fileGenotypeConcordance);
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eval$MetricsByAc = .attemptToLoadFile(fileMetricsByAc);
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eval$MetricsBySample = .attemptToLoadFile(fileMetricsBySample);
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eval$Quality_Metrics_by_allele_count = .attemptToLoadFile(fileQuality_Metrics_by_allele_count);
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eval$QualityScoreHistogram = .attemptToLoadFile(fileQualityScoreHistogram);
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eval$SampleStatistics = .attemptToLoadFile(fileSampleStatistics);
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eval$SampleSummaryStatistics = .attemptToLoadFile(fileSampleSummaryStatistics);
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eval$SimpleMetricsBySample = .attemptToLoadFile(fileSimpleMetricsBySample);
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eval$TiTv = .attemptToLoadFile(fileTi_slash_Tv_Variant_Evaluator);
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eval$TiTvStats = .attemptToLoadFile(fileTiTvStats);
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eval$Variant_Quality_Score = .attemptToLoadFile(fileVariant_Quality_Score);
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eval$AlleleCountStats = .gsa.attemptToLoadFile(fileAlleleCountStats);
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eval$CompOverlap = .gsa.attemptToLoadFile(fileCompOverlap);
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eval$CountVariants = .gsa.attemptToLoadFile(fileCountVariants);
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eval$GenotypeConcordance = .gsa.attemptToLoadFile(fileGenotypeConcordance);
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eval$MetricsByAc = .gsa.attemptToLoadFile(fileMetricsByAc);
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eval$MetricsBySample = .gsa.attemptToLoadFile(fileMetricsBySample);
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eval$Quality_Metrics_by_allele_count = .gsa.attemptToLoadFile(fileQuality_Metrics_by_allele_count);
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eval$QualityScoreHistogram = .gsa.attemptToLoadFile(fileQualityScoreHistogram);
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eval$SampleStatistics = .gsa.attemptToLoadFile(fileSampleStatistics);
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eval$SampleSummaryStatistics = .gsa.attemptToLoadFile(fileSampleSummaryStatistics);
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eval$SimpleMetricsBySample = .gsa.attemptToLoadFile(fileSimpleMetricsBySample);
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eval$TiTv = .gsa.attemptToLoadFile(fileTi_slash_Tv_Variant_Evaluator);
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eval$TiTvStats = .gsa.attemptToLoadFile(fileTiTvStats);
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eval$Variant_Quality_Score = .gsa.attemptToLoadFile(fileVariant_Quality_Score);
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uniqueJexlExpressions = unique(eval$TiTv$jexl_expression);
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eval$CallsetOnlyNames = as.vector(uniqueJexlExpressions[grep("FilteredIn|Intersection|none", uniqueJexlExpressions, invert=TRUE, ignore.case=TRUE)]);
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@ -69,6 +69,15 @@ function(evalRoot) {
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paste(gsub("^(\\w)", "In\\U\\1", eval$CallsetNames[2], perl=TRUE), "-Filtered", gsub("^(\\w)", "In\\U\\1", eval$CallsetNames[1], perl=TRUE), sep=""))
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);
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if (!(eval$CallsetFilteredNames[1] %in% unique(eval$TiTv$jexl_expression))) {
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eval$CallsetFilteredNames[1] = paste("In", eval$CallsetNames[1], "-FilteredIn", eval$CallsetNames[2], sep="");
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}
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if (!(eval$CallsetFilteredNames[2] %in% unique(eval$TiTv$jexl_expression))) {
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eval$CallsetFilteredNames[2] = paste("In", eval$CallsetNames[2], "-FilteredIn", eval$CallsetNames[1], sep="");
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#eval$CallsetFilteredNames[2] = paste(gsub("^(\\w)", "In", eval$CallsetNames[2], perl=TRUE), "-Filtered", gsub("^(\\w)", "In", eval$CallsetNames[1], perl=TRUE), sep="");
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}
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eval;
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}
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@ -1,5 +1,5 @@
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# Load a table into the specified environment. Make sure that each new table gets a unique name (this allows one to cat a bunch of tables with the same name together and load them into R without each table overwriting the last.
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.assignGATKTableToEnvironment <- function(tableName, tableHeader, tableRows, tableEnv) {
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.gsa.assignGATKTableToEnvironment <- function(tableName, tableHeader, tableRows, tableEnv) {
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d = data.frame(tableRows, row.names=NULL, stringsAsFactors=FALSE);
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colnames(d) = tableHeader;
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@ -21,7 +21,7 @@
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}
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# Load all GATKReport tables from a file
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read.gatkreport <- function(filename) {
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gsa.read.gatkreport <- function(filename) {
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con = file(filename, "r", blocking = TRUE);
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lines = readLines(con);
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close(con);
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@ -57,7 +57,7 @@ read.gatkreport <- function(filename) {
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}
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if (!is.na(tableName)) {
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.assignGATKTableToEnvironment(tableName, tableHeader, tableRows, tableEnv);
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.gsa.assignGATKTableToEnvironment(tableName, tableHeader, tableRows, tableEnv);
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}
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gatkreport = as.list(tableEnv);
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@ -1,4 +1,4 @@
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read.squidmetrics = function(project, bylane = FALSE) {
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gsa.read.squidmetrics = function(project, bylane = FALSE) {
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suppressMessages(library(ROracle));
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drv = dbDriver("Oracle");
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@ -1,5 +1,5 @@
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\name{getargs}
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\alias{getargs}
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\name{gsa.getargs}
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\alias{gsa.getargs}
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\title{
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Get script arguments
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}
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@ -7,7 +7,7 @@ Get script arguments
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Get script arguments given a list object specifying arguments and documentation. Can be used in command-line or interactive mode. This is helpful when developing scripts in interactive mode that will eventually become command-line programs. If no arguments are specified or help is requested in command-line mode, the script will print out a usage statement with available arguments and exit.
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}
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\usage{
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getargs(argspec, doc = NA)
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gsa.getargs(argspec, doc = NA)
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}
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\arguments{
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\item{argspec}{
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@ -18,7 +18,7 @@ A list object. Each key is an argument name. The value is another list object
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);
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}
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If the value provided is NA, the argument is considered required and must be specified when the script is invoked. For command-line mode, this means the argument must be specified on the command-line. In interactive mode, there are two ways of specifying these arguments. First, if a properly formatted list argument called 'cmdargs' is present in the current environment (i.e. the object returned by getargs() from a previous invocation), the value is taken from this object. Otherwise, the argument is prompted for.
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If the value provided is NA, the argument is considered required and must be specified when the script is invoked. For command-line mode, this means the argument must be specified on the command-line. In interactive mode, there are two ways of specifying these arguments. First, if a properly formatted list argument called 'cmdargs' is present in the current environment (i.e. the object returned by gsa.getargs() from a previous invocation), the value is taken from this object. Otherwise, the argument is prompted for.
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}
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\item{doc}{
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@ -50,7 +50,7 @@ argspec = list(
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test2 = list(value=2.3e9, doc="Another argument that does stuff")
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);
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cmdargs = getargs(argspec, doc="My test program");
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cmdargs = gsa.getargs(argspec, doc="My test program");
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print(cmdargs$file); # will print '[1] "/my/test.vcf"'
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}
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@ -1,5 +1,5 @@
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\name{plot.venn}
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\alias{plot.venn}
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\name{gsa.plot.venn}
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\alias{gsa.plot.venn}
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\title{
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Plot a proportional venn diagram
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}
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@ -7,7 +7,7 @@ Plot a proportional venn diagram
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Plot a proportional venn diagram (two or three-way venns allowed)
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}
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\usage{
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plot.venn(a, b, c = 0, a_and_b, a_and_c = 0, b_and_c = 0, col = c("#FF6342", "#63C6DE", "#ADDE63"), pos = c(0.2, 0.2, 0.8, 0.82), debug = 0)
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gsa.plot.venn(a, b, c = 0, a_and_b, a_and_c = 0, b_and_c = 0, col = c("#FF6342", "#63C6DE", "#ADDE63"), pos = c(0.2, 0.2, 0.8, 0.82), debug = 0)
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}
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\arguments{
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\item{a}{
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@ -64,10 +64,10 @@ Kiran Garimella
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}
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\examples{
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## Plot a two-way Venn diagram
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plot.venn(1000, 750, 0, 400);
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gsa.plot.venn(1000, 750, 0, 400);
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## Plot a three-way Venn diagram
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plot.venn(1000, 750, 900, 400, 650, 500);
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gsa.plot.venn(1000, 750, 900, 400, 650, 500);
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}
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% Add one or more standard keywords, see file 'KEYWORDS' in the
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% R documentation directory.
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@ -1,5 +1,5 @@
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\name{read.eval}
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\alias{read.eval}
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\name{gsa.read.eval}
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\alias{gsa.read.eval}
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\title{
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Read a VariantEval file
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}
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@ -7,7 +7,7 @@ Read a VariantEval file
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Read a VariantEval file that's output in R format.
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}
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\usage{
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read.eval(evalRoot)
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gsa.read.eval(evalRoot)
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}
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%- maybe also 'usage' for other objects documented here.
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\arguments{
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\name{read.gatkreport}
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\alias{read.gatkreport}
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\name{gsa.read.gatkreport}
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\alias{gsa.read.gatkreport}
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\title{
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read.gatkreport
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gsa.read.gatkreport
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}
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\description{
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Reads a GATKReport file - a multi-table document - and loads each table as a separate data.frame object in a list.
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}
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\usage{
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read.gatkreport(filename)
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gsa.read.gatkreport(filename)
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}
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\arguments{
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\item{filename}{
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@ -50,6 +50,6 @@ Kiran Garimella
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%% ~~objects to See Also as \code{\link{help}}, ~~~
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}
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\examples{
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report = read.gatkreport("/path/to/my/output.gatkreport");
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report = gsa.read.gatkreport("/path/to/my/output.gatkreport");
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}
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\keyword{ ~kwd1 }
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\name{read.squidmetrics}
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\alias{read.squidmetrics}
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\name{gsa.read.squidmetrics}
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\alias{gsa.read.squidmetrics}
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\title{
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read.squidmetrics
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gsa.read.squidmetrics
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}
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\description{
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Reads metrics for a specified SQUID project into a dataframe.
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}
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\usage{
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read.squidmetrics("C315")
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gsa.read.squidmetrics("C315")
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}
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\arguments{
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\item{project}{
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@ -43,6 +43,6 @@ This method will only work within the Broad Institute internal network.
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}
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\examples{
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## Obtain metrics for project C315.
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d = read.squidmetrics("C315");
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d = gsa.read.squidmetrics("C315");
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}
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\keyword{ ~kwd1 }
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@ -25,7 +25,7 @@ GATK help forum: http://www.getsatisfaction.com/gsa
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}
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\examples{
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## get script arguments in interactive and non-interactive mode
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cmdargs = getargs( list(
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cmdargs = gsa.getargs( list(
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requiredArg1 = list(
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value = NA,
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doc = "Documentation for requiredArg1"
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@ -38,10 +38,10 @@ cmdargs = getargs( list(
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) );
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## plot a proportional Venn diagram
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plot.venn(500, 250, 0, 100);
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gsa.plot.venn(500, 250, 0, 100);
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## read a GATKReport file
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report = gatk.report("/path/to/my/output.gatkreport");
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report = gsa.gatk.report("/path/to/my/output.gatkreport");
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## emit a message
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gsa.message("This is a message");
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@ -51,5 +51,18 @@ gsa.message("This is a warning message");
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## emit an error message
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gsa.message("This is an error message");
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## read the SQUID metrics for a given sequencing project (internal to the Broad only)
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s = gsa.read.squidmetrics("C427");
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## read command-line arguments
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cmdargs = gsa.getargs(
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list(
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file = list(value="/my/test.vcf", doc="VCF file"),
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verbose = list(value=0, doc="If 1, set verbose mode"),
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test2 = list(value=2.3e9, doc="Another argument that does stuff")
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),
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doc="My test program"
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);
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}
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\keyword{ package }
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