| Back to Multiple platform build/check report for BioC 3.11 |
|
This page was generated on 2020-04-10 14:19:07 -0400 (Fri, 10 Apr 2020).
| TO THE DEVELOPERS/MAINTAINERS OF THE PathwaySplice PACKAGE: Please make sure to use the following settings in order to reproduce any error or warning you see on this page. |
| Package 1252/1861 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||
| PathwaySplice 1.11.0 Aimin Yan
| malbec2 | Linux (Ubuntu 18.04.4 LTS) / x86_64 | OK | OK | [ ERROR ] | |||||||
| tokay2 | Windows Server 2012 R2 Standard / x64 | OK | OK | ERROR | OK | |||||||
| machv2 | macOS 10.14.6 Mojave / x86_64 | OK | OK | ERROR | OK |
| Package: PathwaySplice |
| Version: 1.11.0 |
| Command: /home/biocbuild/bbs-3.11-bioc/R/bin/R CMD check --install=check:PathwaySplice.install-out.txt --library=/home/biocbuild/bbs-3.11-bioc/R/library --no-vignettes --timings PathwaySplice_1.11.0.tar.gz |
| StartedAt: 2020-04-10 06:01:27 -0400 (Fri, 10 Apr 2020) |
| EndedAt: 2020-04-10 06:12:14 -0400 (Fri, 10 Apr 2020) |
| EllapsedTime: 646.2 seconds |
| RetCode: 1 |
| Status: ERROR |
| CheckDir: PathwaySplice.Rcheck |
| Warnings: NA |
##############################################################################
##############################################################################
###
### Running command:
###
### /home/biocbuild/bbs-3.11-bioc/R/bin/R CMD check --install=check:PathwaySplice.install-out.txt --library=/home/biocbuild/bbs-3.11-bioc/R/library --no-vignettes --timings PathwaySplice_1.11.0.tar.gz
###
##############################################################################
##############################################################################
* using log directory ‘/home/biocbuild/bbs-3.11-bioc/meat/PathwaySplice.Rcheck’
* using R version 4.0.0 alpha (2020-03-31 r78116)
* using platform: x86_64-pc-linux-gnu (64-bit)
* using session charset: UTF-8
* using option ‘--no-vignettes’
* checking for file ‘PathwaySplice/DESCRIPTION’ ... OK
* checking extension type ... Package
* this is package ‘PathwaySplice’ version ‘1.11.0’
* checking package namespace information ... OK
* checking package dependencies ... OK
* checking if this is a source package ... OK
* checking if there is a namespace ... OK
* checking for hidden files and directories ... OK
* checking for portable file names ... OK
* checking for sufficient/correct file permissions ... OK
* checking whether package ‘PathwaySplice’ can be installed ... OK
* checking installed package size ... OK
* checking package directory ... OK
* checking ‘build’ directory ... OK
* checking DESCRIPTION meta-information ... NOTE
Malformed Description field: should contain one or more complete sentences.
* checking top-level files ... OK
* checking for left-over files ... OK
* checking index information ... OK
* checking package subdirectories ... OK
* checking R files for non-ASCII characters ... OK
* checking R files for syntax errors ... OK
* checking whether the package can be loaded ... OK
* checking whether the package can be loaded with stated dependencies ... OK
* checking whether the package can be unloaded cleanly ... OK
* checking whether the namespace can be loaded with stated dependencies ... OK
* checking whether the namespace can be unloaded cleanly ... OK
* checking dependencies in R code ... OK
* checking S3 generic/method consistency ... OK
* checking replacement functions ... OK
* checking foreign function calls ... OK
* checking R code for possible problems ... NOTE
compareResults2: no visible global function definition for 'ggplot'
compareResults2: no visible global function definition for 'aes'
compareResults2: no visible binding for global variable
'random_sampling_200k'
compareResults2: no visible binding for global variable 'PValue'
compareResults2: no visible binding for global variable 'PathwaySplice'
compareResults2: no visible global function definition for 'geom_point'
compareResults2: no visible global function definition for
'geom_smooth'
compareResults2: no visible global function definition for 'labs'
compareResults2: no visible global function definition for
'scale_colour_manual'
compareResults2: no visible global function definition for
'scale_shape_manual'
netplot: no visible global function definition for 'get.col.scale'
Undefined global functions or variables:
PValue PathwaySplice aes geom_point geom_smooth get.col.scale ggplot
labs random_sampling_200k scale_colour_manual scale_shape_manual
* checking Rd files ... OK
* checking Rd metadata ... OK
* checking Rd cross-references ... OK
* checking for missing documentation entries ... OK
* checking for code/documentation mismatches ... OK
* checking Rd \usage sections ... OK
* checking Rd contents ... OK
* checking for unstated dependencies in examples ... OK
* checking contents of ‘data’ directory ... OK
* checking data for non-ASCII characters ... OK
* checking data for ASCII and uncompressed saves ... OK
* checking files in ‘vignettes’ ... OK
* checking examples ... ERROR
Running examples in ‘PathwaySplice-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: compareResults
> ### Title: compareResults
> ### Aliases: compareResults
>
> ### ** Examples
>
>
> dir.name <- system.file('extdata', package='PathwaySplice')
> hallmark.pathway.file <- file.path(dir.name,'h.all.v6.0.symbols.gmt.txt')
>
> hallmark <- gmtGene2Cat(hallmark.pathway.file,genomeID='hg19')
Read 50 records
Read 7424 items
snapshotDate(): 2020-03-31
>
> gene.based.table <- makeGeneTable(featureBasedData)
>
> res.adj <- runPathwaySplice(gene.based.table,genome='hg19',
+ id='ensGene',gene2cat=hallmark,
+ go.size.limit = c(5, 200),
+ method='Wallenius')
Warning in pcls(G) :
initial point very close to some inequality constraints
Using manually entered categories.
For 3983 genes, we could not find any categories. These genes will be excluded.
To force their use, please run with use_genes_without_cat=TRUE (see documentation).
This was the default behavior for version 1.15.1 and earlier.
Calculating the p-values...
snapshotDate(): 2020-03-31
Warning: `as_data_frame()` is deprecated as of tibble 2.0.0.
Please use `as_tibble()` instead.
The signature and semantics have changed, see `?as_tibble`.
This warning is displayed once every 8 hours.
Call `lifecycle::last_warnings()` to see where this warning was generated.
>
> res.unadj <- runPathwaySplice(gene.based.table,genome='hg19',
+ id='ensGene',gene2cat=hallmark,go.size.limit = c(5, 200),
+ method='Hypergeometric')
Warning in pcls(G) :
initial point very close to some inequality constraints
Using manually entered categories.
For 3983 genes, we could not find any categories. These genes will be excluded.
To force their use, please run with use_genes_without_cat=TRUE (see documentation).
This was the default behavior for version 1.15.1 and earlier.
Calculating the p-values...
snapshotDate(): 2020-03-31
>
> compareResults(20, res.adj, res.unadj, gene.based.table, type.boxplot='Only3')
----------- FAILURE REPORT --------------
--- failure: length > 1 in coercion to logical ---
--- srcref ---
:
--- package (from environment) ---
PathwaySplice
--- call from context ---
compareResults(20, res.adj, res.unadj, gene.based.table, type.boxplot = "Only3")
--- call from argument ---
is.na(example.go.adjusted.by.exon) || is.na(example.go.unadjusted)
--- R stacktrace ---
where 1: compareResults(20, res.adj, res.unadj, gene.based.table, type.boxplot = "Only3")
--- value of length: 500 type: logical ---
gene_set over_represented_pvalue under_represented_pvalue numSIGInCat
[1,] FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE
[6,] FALSE FALSE FALSE FALSE
[7,] FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE
[9,] FALSE FALSE FALSE FALSE
[10,] FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE
[13,] FALSE FALSE FALSE FALSE
[14,] FALSE FALSE FALSE FALSE
[15,] FALSE FALSE FALSE FALSE
[16,] FALSE FALSE FALSE FALSE
[17,] FALSE FALSE FALSE FALSE
[18,] FALSE FALSE FALSE FALSE
[19,] FALSE FALSE FALSE FALSE
[20,] FALSE FALSE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE
[22,] FALSE FALSE FALSE FALSE
[23,] FALSE FALSE FALSE FALSE
[24,] FALSE FALSE FALSE FALSE
[25,] FALSE FALSE FALSE FALSE
[26,] FALSE FALSE FALSE FALSE
[27,] FALSE FALSE FALSE FALSE
[28,] FALSE FALSE FALSE FALSE
[29,] FALSE FALSE FALSE FALSE
[30,] FALSE FALSE FALSE FALSE
[31,] FALSE FALSE FALSE FALSE
[32,] FALSE FALSE FALSE FALSE
[33,] FALSE FALSE FALSE FALSE
[34,] FALSE FALSE FALSE FALSE
[35,] FALSE FALSE FALSE FALSE
[36,] FALSE FALSE FALSE FALSE
[37,] FALSE FALSE FALSE FALSE
[38,] FALSE FALSE FALSE FALSE
[39,] FALSE FALSE FALSE FALSE
[40,] FALSE FALSE FALSE FALSE
[41,] FALSE FALSE FALSE FALSE
[42,] FALSE FALSE FALSE FALSE
[43,] FALSE FALSE FALSE FALSE
[44,] FALSE FALSE FALSE FALSE
[45,] FALSE FALSE FALSE FALSE
[46,] FALSE FALSE FALSE FALSE
[47,] FALSE FALSE FALSE FALSE
[48,] FALSE FALSE FALSE FALSE
[49,] FALSE FALSE FALSE FALSE
[50,] FALSE FALSE FALSE FALSE
numInCat SIGgene_ensembl SIGgene_symbol All_gene_ensembl All_gene_symbol
[1,] FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE FALSE
[6,] FALSE FALSE FALSE FALSE FALSE
[7,] FALSE FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE FALSE
[9,] FALSE FALSE FALSE FALSE FALSE
[10,] FALSE FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE FALSE
[13,] FALSE FALSE FALSE FALSE FALSE
[14,] FALSE FALSE FALSE FALSE FALSE
[15,] FALSE FALSE FALSE FALSE FALSE
[16,] FALSE FALSE FALSE FALSE FALSE
[17,] FALSE FALSE FALSE FALSE FALSE
[18,] FALSE FALSE FALSE FALSE FALSE
[19,] FALSE FALSE FALSE FALSE FALSE
[20,] FALSE FALSE FALSE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE FALSE
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[24,] FALSE FALSE FALSE FALSE FALSE
[25,] FALSE FALSE FALSE FALSE FALSE
[26,] FALSE FALSE FALSE FALSE FALSE
[27,] FALSE FALSE FALSE FALSE FALSE
[28,] FALSE FALSE FALSE FALSE FALSE
[29,] FALSE FALSE FALSE FALSE FALSE
[30,] FALSE FALSE FALSE FALSE FALSE
[31,] FALSE FALSE FALSE FALSE FALSE
[32,] FALSE FALSE FALSE FALSE FALSE
[33,] FALSE FALSE FALSE FALSE FALSE
[34,] FALSE FALSE FALSE FALSE FALSE
[35,] FALSE FALSE FALSE FALSE FALSE
[36,] FALSE FALSE FALSE FALSE FALSE
[37,] FALSE FALSE FALSE FALSE FALSE
[38,] FALSE FALSE FALSE FALSE FALSE
[39,] FALSE FALSE FALSE FALSE FALSE
[40,] FALSE FALSE FALSE FALSE FALSE
[41,] FALSE FALSE FALSE FALSE FALSE
[42,] FALSE FALSE FALSE FALSE FALSE
[43,] FALSE FALSE FALSE FALSE FALSE
[44,] FALSE FALSE FALSE FALSE FALSE
[45,] FALSE FALSE FALSE FALSE FALSE
[46,] FALSE FALSE FALSE FALSE FALSE
[47,] FALSE FALSE FALSE FALSE FALSE
[48,] FALSE FALSE FALSE FALSE FALSE
[49,] FALSE FALSE FALSE FALSE FALSE
[50,] FALSE FALSE FALSE FALSE FALSE
Ave_value_all_gene
[1,] FALSE
[2,] FALSE
[3,] FALSE
[4,] FALSE
[5,] FALSE
[6,] FALSE
[7,] FALSE
[8,] FALSE
[9,] FALSE
[10,] FALSE
[11,] FALSE
[12,] FALSE
[13,] FALSE
[14,] FALSE
[15,] FALSE
[16,] FALSE
[17,] FALSE
[18,] FALSE
[19,] FALSE
[20,] FALSE
[21,] FALSE
[22,] FALSE
[23,] FALSE
[24,] FALSE
[25,] FALSE
[26,] FALSE
[27,] FALSE
[28,] FALSE
[29,] FALSE
[30,] FALSE
[31,] FALSE
[32,] FALSE
[33,] FALSE
[34,] FALSE
[35,] FALSE
[36,] FALSE
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[38,] FALSE
[39,] FALSE
[40,] FALSE
[41,] FALSE
[42,] FALSE
[43,] FALSE
[44,] FALSE
[45,] FALSE
[46,] FALSE
[47,] FALSE
[48,] FALSE
[49,] FALSE
[50,] FALSE
--- function from context ---
function (n.go, adjusted, unadjusted, gene.based.table, output.dir = tempdir(),
type.boxplot = c("All", "Only3"))
{
if (!dir.exists(output.dir)) {
dir.create(output.dir, recursive = TRUE)
}
n <- n.go
example.go.adjusted.by.exon <- as.data.frame(adjusted)
example.go.unadjusted <- as.data.frame(unadjusted)
if (is.na(example.go.adjusted.by.exon) || is.na(example.go.unadjusted)) {
cat("One of results is empty\n\n")
return()
}
else {
if (dim(example.go.adjusted.by.exon)[1] >= n && dim(example.go.unadjusted)[1] >=
n) {
adjusted <- example.go.adjusted.by.exon[1:n, 1]
unadjusted <- example.go.unadjusted[1:n, 1]
re <- list(adjusted = adjusted, unadjusted = unadjusted)
vp <- venn.diagram(re, fill = c("red", "blue"), cat.col = c("red",
"blue"), alpha = 0.3, filename = file.path(output.dir,
paste0(names(re)[1], "_", names(re)[2], "_overlap_venn.tiff")))
common <- intersect(unadjusted, adjusted)
In.unadjusted.not.in.adjusted <- setdiff(unadjusted,
common)
In.adjusted.not.in.unadjusted <- setdiff(adjusted,
common)
if (length(In.unadjusted.not.in.adjusted) != 0 &&
length(In.adjusted.not.in.unadjusted) != 0) {
index1 <- match(In.adjusted.not.in.unadjusted,
example.go.adjusted.by.exon$gene_set)
index1.name <- unique(unlist(example.go.adjusted.by.exon[index1,
]$All_gene_ensembl))
In.ad.not.un <- gene.based.table[match(index1.name,
gene.based.table$geneID), ]$numFeature
yy <- cbind(example.go.unadjusted[index1, ]$rank.value.by.over_represented_pvalue,
example.go.adjusted.by.exon[index1, ]$rank.value.by.over_represented_pvalue)
index2 <- match(In.unadjusted.not.in.adjusted,
example.go.unadjusted$gene_set)
index2.name <- unique(unlist(example.go.unadjusted[index2,
]$All_gene_ensembl))
In.un.not.ad <- gene.based.table[match(index2.name,
gene.based.table$geneID), ]$numFeature
yyy <- cbind(example.go.unadjusted[index2, ]$rank.value.by.over_represented_pvalue,
example.go.adjusted.by.exon[index2, ]$rank.value.by.over_represented_pvalue)
cp.topN.adjusted.name <- unique(unlist(example.go.adjusted.by.exon[1:n,
]$All_gene_ensembl))
cp.topN.adjusted <- gene.based.table[match(cp.topN.adjusted.name,
gene.based.table$geneID), ]$numFeature
cp.topN.unadjusted.name <- unique(unlist(example.go.unadjusted[1:n,
]$All_gene_ensembl))
cp.topN.unadjusted <- gene.based.table[match(cp.topN.unadjusted.name,
gene.based.table$geneID), ]$numFeature
adjusted.name <- unique(unlist(example.go.adjusted.by.exon$All_gene_ensembl))
cp.all.adjusted <- gene.based.table[match(adjusted.name,
gene.based.table$geneID), ]$numFeature
unadjusted.name <- unique(unlist(example.go.unadjusted$All_gene_ensembl))
cp.all.unadjusted <- gene.based.table[match(unadjusted.name,
gene.based.table$geneID), ]$numFeature
type.boxplot <- match.arg(type.boxplot)
switch(type.boxplot, Only3 = {
yy <- rbind(cbind(cp.topN.adjusted, rep(paste0("Adjusted_",
n.go), length(cp.topN.adjusted))), cbind(cp.topN.unadjusted,
rep(paste0("Unadjusted_", n.go), length(cp.topN.unadjusted))),
cbind(cp.all.unadjusted, rep("All", length(cp.all.unadjusted))))
colnames(yy) <- c("y", "grp")
yy <- as.data.frame(yy)
yy$grp <- factor(yy$grp)
yy$grp <- factor(yy$grp, levels = levels(yy$grp)[c(2,
1, 3)])
yy$y <- as.numeric(as.character(yy$y))
colnames(yy) <- c("numFeature", "category")
m = list(l = 200, r = 5, b = 5, t = 5, pad = 4)
p <- plot_ly(yy, x = ~numFeature, color = ~category,
type = "box") %>% layout(margin = m)
htmlwidgets::saveWidget(p, file.path(output.dir,
"boxplot.html"))
}, {
yy <- rbind(cbind(In.ad.not.un, rep("adjusted.only",
length(In.ad.not.un))), cbind(In.un.not.ad,
rep("unadjusted.only", length(In.un.not.ad))),
cbind(cp.topN.adjusted, rep(paste0("top.adjusted.",
n.go), length(cp.topN.adjusted))), cbind(cp.topN.unadjusted,
rep(paste0("top.unadjusted.", n.go), length(cp.topN.unadjusted))),
cbind(cp.all.adjusted, rep("all.adjusted",
length(cp.all.adjusted))), cbind(cp.all.unadjusted,
rep("all.unadjusted", length(cp.all.unadjusted))))
colnames(yy) <- c("y", "grp")
yy <- as.data.frame(yy)
yy$y <- as.numeric(as.character(yy$y))
colnames(yy) <- c("numFeature", "category")
m = list(l = 200, r = 5, b = 5, t = 5, pad = 4)
p <- plot_ly(yy, x = ~numFeature, color = ~category,
type = "box") %>% layout(margin = m)
print(p)
htmlwidgets::saveWidget(p, file.path(output.dir,
"boxplot.html"))
})
na.pad <- function(x, len) {
x[1:len]
}
makePaddedDataFrame <- function(l, ...) {
maxlen <- max(sapply(l, length))
data.frame(lapply(l, na.pad, len = maxlen),
...)
}
x <- In.adjusted.not.in.unadjusted
y <- In.unadjusted.not.in.adjusted
z <- common
venn.res <- makePaddedDataFrame(list(x = x, y = y,
z = z))
colnames(venn.res) <- c("adjusted.only", "unadjusted.only",
"common")
write.table(venn.res, file = file.path(output.dir,
"results4venn.csv"), quote = FALSE, sep = ",",
eol = "\n", na = " ", dec = ".", row.names = FALSE,
col.names = TRUE)
temp1 <- dplyr::as_data_frame(example.go.adjusted.by.exon[index1,
])
writeTibble(temp1, file.path(output.dir, "adjustedOnly.csv"))
temp2 <- dplyr::as_data_frame(example.go.unadjusted[index2,
])
writeTibble(temp2, file.path(output.dir, "unadjustedOnly.csv"))
}
else {
if (length(In.unadjusted.not.in.adjusted) ==
0) {
cat("there is no significant gene sets in unadjusted results only\n")
}
cat("\n")
if (length(In.adjusted.not.in.unadjusted) ==
0) {
cat("there is no significant gene sets in adjusted results only\n")
}
cat("\n")
}
}
else {
cat("The enriched gene sets is less than", n, "\n")
}
}
}
<bytecode: 0x55b4be5a97f8>
<environment: namespace:PathwaySplice>
--- function search by body ---
Function compareResults in namespace PathwaySplice has this body.
----------- END OF FAILURE REPORT --------------
Fatal error: length > 1 in coercion to logical
* checking for unstated dependencies in ‘tests’ ... OK
* checking tests ...
Running ‘testthat.R’
ERROR
Running the tests in ‘tests/testthat.R’ failed.
Last 13 lines of output:
}
cat("\n")
}
}
else {
cat("The enriched gene sets is less than", n, "\n")
}
}
}
<bytecode: 0x562385134c20>
<environment: namespace:PathwaySplice>
--- function search by body ---
Function compareResults in namespace PathwaySplice has this body.
----------- END OF FAILURE REPORT --------------
Fatal error: length > 1 in coercion to logical
* checking for unstated dependencies in vignettes ... OK
* checking package vignettes in ‘inst/doc’ ... OK
* checking running R code from vignettes ... SKIPPED
* checking re-building of vignette outputs ... SKIPPED
* checking PDF version of manual ... OK
* DONE
Status: 2 ERRORs, 2 NOTEs
See
‘/home/biocbuild/bbs-3.11-bioc/meat/PathwaySplice.Rcheck/00check.log’
for details.
PathwaySplice.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /home/biocbuild/bbs-3.11-bioc/R/bin/R CMD INSTALL PathwaySplice ### ############################################################################## ############################################################################## * installing to library ‘/home/biocbuild/bbs-3.11-bioc/R/library’ * installing *source* package ‘PathwaySplice’ ... ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (PathwaySplice)
PathwaySplice.Rcheck/tests/testthat.Rout.fail
R version 4.0.0 alpha (2020-03-31 r78116)
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(testthat)
> test_check("PathwaySplice")
Loading required package: PathwaySplice
[1] "P-value from logistic regression is 3.98e-205"
----------- FAILURE REPORT --------------
--- failure: length > 1 in coercion to logical ---
--- srcref ---
:
--- package (from environment) ---
PathwaySplice
--- call from context ---
compareResults(25, res1, res2, gene.based.table, output.file.dir,
type.boxplot = "Only3")
--- call from argument ---
is.na(example.go.adjusted.by.exon) || is.na(example.go.unadjusted)
--- R stacktrace ---
where 1 at testthat/test-Run_pathwaysplice.R#32: compareResults(25, res1, res2, gene.based.table, output.file.dir,
type.boxplot = "Only3")
where 2: eval(code, test_env)
where 3: eval(code, test_env)
where 4: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 5: doTryCatch(return(expr), name, parentenv, handler)
where 6: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 7: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 8: doTryCatch(return(expr), name, parentenv, handler)
where 9: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 10: tryCatchList(expr, classes, parentenv, handlers)
where 11: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 12: test_code(desc, code, env = parent.frame())
where 13 at testthat/test-Run_pathwaysplice.R#18: test_that("test compareResults", {
gene.based.table <- makeGeneTable(featureBasedData)
res1 <- runPathwaySplice(gene.based.table, genome = "hg19",
id = "ensGene", test.cats = c("GO:BP"), go.size.limit = c(10,
300), method = "Wallenius")
res2 <- runPathwaySplice(gene.based.table, genome = "hg19",
id = "ensGene", test.cats = c("GO:BP"), go.size.limit = c(10,
300), method = "Hypergeometric")
output.file.dir <- tempdir()
res3 <- compareResults(25, res1, res2, gene.based.table,
output.file.dir, type.boxplot = "Only3")
})
where 14: eval(code, test_env)
where 15: eval(code, test_env)
where 16: withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error)
where 17: doTryCatch(return(expr), name, parentenv, handler)
where 18: tryCatchOne(expr, names, parentenv, handlers[[1L]])
where 19: tryCatchList(expr, names[-nh], parentenv, handlers[-nh])
where 20: doTryCatch(return(expr), name, parentenv, handler)
where 21: tryCatchOne(tryCatchList(expr, names[-nh], parentenv, handlers[-nh]),
names[nh], parentenv, handlers[[nh]])
where 22: tryCatchList(expr, classes, parentenv, handlers)
where 23: tryCatch(withCallingHandlers({
eval(code, test_env)
if (!handled && !is.null(test)) {
skip_empty()
}
}, expectation = handle_expectation, skip = handle_skip, warning = handle_warning,
message = handle_message, error = handle_error), error = handle_fatal,
skip = function(e) {
})
where 24: test_code(NULL, exprs, env)
where 25: source_file(path, new.env(parent = env), chdir = TRUE, wrap = wrap)
where 26: force(code)
where 27: doWithOneRestart(return(expr), restart)
where 28: withOneRestart(expr, restarts[[1L]])
where 29: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 30: with_reporter(reporter = reporter, start_end_reporter = start_end_reporter,
{
reporter$start_file(basename(path))
lister$start_file(basename(path))
source_file(path, new.env(parent = env), chdir = TRUE,
wrap = wrap)
reporter$.end_context()
reporter$end_file()
})
where 31: FUN(X[[i]], ...)
where 32: lapply(paths, test_file, env = env, reporter = current_reporter,
start_end_reporter = FALSE, load_helpers = FALSE, wrap = wrap)
where 33: force(code)
where 34: doWithOneRestart(return(expr), restart)
where 35: withOneRestart(expr, restarts[[1L]])
where 36: withRestarts(testthat_abort_reporter = function() NULL, force(code))
where 37: with_reporter(reporter = current_reporter, results <- lapply(paths,
test_file, env = env, reporter = current_reporter, start_end_reporter = FALSE,
load_helpers = FALSE, wrap = wrap))
where 38: test_files(paths, reporter = reporter, env = env, stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 39: test_dir(path = test_path, reporter = reporter, env = env, filter = filter,
..., stop_on_failure = stop_on_failure, stop_on_warning = stop_on_warning,
wrap = wrap)
where 40: test_package_dir(package = package, test_path = test_path, filter = filter,
reporter = reporter, ..., stop_on_failure = stop_on_failure,
stop_on_warning = stop_on_warning, wrap = wrap)
where 41: test_check("PathwaySplice")
--- value of length: 35004 type: logical ---
gene_set over_represented_pvalue under_represented_pvalue numSIGInCat
[1,] FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE
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[2913,] FALSE FALSE FALSE FALSE
[2914,] FALSE FALSE FALSE FALSE
[2915,] FALSE FALSE FALSE FALSE
[2916,] FALSE FALSE FALSE FALSE
[2917,] FALSE FALSE FALSE FALSE
numInCat description ontology SIGgene_ensembl SIGgene_symbol
[1,] FALSE FALSE FALSE FALSE FALSE
[2,] FALSE FALSE FALSE FALSE FALSE
[3,] FALSE FALSE FALSE FALSE FALSE
[4,] FALSE FALSE FALSE FALSE FALSE
[5,] FALSE FALSE FALSE FALSE FALSE
[6,] FALSE FALSE FALSE FALSE FALSE
[7,] FALSE FALSE FALSE FALSE FALSE
[8,] FALSE FALSE FALSE FALSE FALSE
[9,] FALSE FALSE FALSE FALSE FALSE
[10,] FALSE FALSE FALSE FALSE FALSE
[11,] FALSE FALSE FALSE FALSE FALSE
[12,] FALSE FALSE FALSE FALSE FALSE
[13,] FALSE FALSE FALSE FALSE FALSE
[14,] FALSE FALSE FALSE FALSE FALSE
[15,] FALSE FALSE FALSE FALSE FALSE
[16,] FALSE FALSE FALSE FALSE FALSE
[17,] FALSE FALSE FALSE FALSE FALSE
[18,] FALSE FALSE FALSE FALSE FALSE
[19,] FALSE FALSE FALSE FALSE FALSE
[20,] FALSE FALSE FALSE FALSE FALSE
[21,] FALSE FALSE FALSE FALSE FALSE
[22,] FALSE FALSE FALSE FALSE FALSE
[23,] FALSE FALSE FALSE FALSE FALSE
[24,] FALSE FALSE FALSE FALSE FALSE
[25,] FALSE FALSE FALSE FALSE FALSE
[26,] FALSE FALSE FALSE FALSE FALSE
[27,] FALSE FALSE FALSE FALSE FALSE
[28,] FALSE FALSE FALSE FALSE FALSE
[29,] FALSE FALSE FALSE FALSE FALSE
[30,] FALSE FALSE FALSE FALSE FALSE
[31,] FALSE FALSE FALSE FALSE FALSE
[32,] FALSE FALSE FALSE FALSE FALSE
[33,] FALSE FALSE FALSE FALSE FALSE
[34,] FALSE FALSE FALSE FALSE FALSE
[35,] FALSE FALSE FALSE FALSE FALSE
[36,] FALSE FALSE FALSE FALSE FALSE
[37,] FALSE FALSE FALSE FALSE FALSE
[38,] FALSE FALSE FALSE FALSE FALSE
[39,] FALSE FALSE FALSE FALSE FALSE
[40,] FALSE FALSE FALSE FALSE FALSE
[41,] FALSE FALSE FALSE FALSE FALSE
[42,] FALSE FALSE FALSE FALSE FALSE
[43,] FALSE FALSE FALSE FALSE FALSE
[44,] FALSE FALSE FALSE FALSE FALSE
[45,] FALSE FALSE FALSE FALSE FALSE
[46,] FALSE FALSE FALSE FALSE FALSE
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[48,] FALSE FALSE FALSE FALSE FALSE
[49,] FALSE FALSE FALSE FALSE FALSE
[50,] FALSE FALSE FALSE FALSE FALSE
[51,] FALSE FALSE FALSE FALSE FALSE
[52,] FALSE FALSE FALSE FALSE FALSE
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[54,] FALSE FALSE FALSE FALSE FALSE
[55,] FALSE FALSE FALSE FALSE FALSE
[56,] FALSE FALSE FALSE FALSE FALSE
[57,] FALSE FALSE FALSE FALSE FALSE
[58,] FALSE FALSE FALSE FALSE FALSE
[59,] FALSE FALSE FALSE FALSE FALSE
[60,] FALSE FALSE FALSE FALSE FALSE
[61,] FALSE FALSE FALSE FALSE FALSE
[62,] FALSE FALSE FALSE FALSE FALSE
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[80,] FALSE FALSE FALSE FALSE FALSE
[81,] FALSE FALSE FALSE FALSE FALSE
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[84,] FALSE FALSE FALSE FALSE FALSE
[85,] FALSE FALSE FALSE FALSE FALSE
[86,] FALSE FALSE FALSE FALSE FALSE
[87,] FALSE FALSE FALSE FALSE FALSE
[88,] FALSE FALSE FALSE FALSE FALSE
[89,] FALSE FALSE FALSE FALSE FALSE
[90,] FALSE FALSE FALSE FALSE FALSE
[91,] FALSE FALSE FALSE FALSE FALSE
[92,] FALSE FALSE FALSE FALSE FALSE
[93,] FALSE FALSE FALSE FALSE FALSE
[94,] FALSE FALSE FALSE FALSE FALSE
[95,] FALSE FALSE FALSE FALSE FALSE
[96,] FALSE FALSE FALSE FALSE FALSE
[97,] FALSE FALSE FALSE FALSE FALSE
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[2895,] FALSE FALSE FALSE FALSE FALSE
[2896,] FALSE FALSE FALSE FALSE FALSE
[2897,] FALSE FALSE FALSE FALSE FALSE
[2898,] FALSE FALSE FALSE FALSE FALSE
[2899,] FALSE FALSE FALSE FALSE FALSE
[2900,] FALSE FALSE FALSE FALSE FALSE
[2901,] FALSE FALSE FALSE FALSE FALSE
[2902,] FALSE FALSE FALSE FALSE FALSE
[2903,] FALSE FALSE FALSE FALSE FALSE
[2904,] FALSE FALSE FALSE FALSE FALSE
[2905,] FALSE FALSE FALSE FALSE FALSE
[2906,] FALSE FALSE FALSE FALSE FALSE
[2907,] FALSE FALSE FALSE FALSE FALSE
[2908,] FALSE FALSE FALSE FALSE FALSE
[2909,] FALSE FALSE FALSE FALSE FALSE
[2910,] FALSE FALSE FALSE FALSE FALSE
[2911,] FALSE FALSE FALSE FALSE FALSE
[2912,] FALSE FALSE FALSE FALSE FALSE
[2913,] FALSE FALSE FALSE FALSE FALSE
[2914,] FALSE FALSE FALSE FALSE FALSE
[2915,] FALSE FALSE FALSE FALSE FALSE
[2916,] FALSE FALSE FALSE FALSE FALSE
[2917,] FALSE FALSE FALSE FALSE FALSE
All_gene_ensembl All_gene_symbol Ave_value_all_gene
[1,] FALSE FALSE FALSE
[2,] FALSE FALSE FALSE
[3,] FALSE FALSE FALSE
[4,] FALSE FALSE FALSE
[5,] FALSE FALSE FALSE
[6,] FALSE FALSE FALSE
[7,] FALSE FALSE FALSE
[8,] FALSE FALSE FALSE
[9,] FALSE FALSE FALSE
[10,] FALSE FALSE FALSE
[11,] FALSE FALSE FALSE
[12,] FALSE FALSE FALSE
[13,] FALSE FALSE FALSE
[14,] FALSE FALSE FALSE
[15,] FALSE FALSE FALSE
[16,] FALSE FALSE FALSE
[17,] FALSE FALSE FALSE
[18,] FALSE FALSE FALSE
[19,] FALSE FALSE FALSE
[20,] FALSE FALSE FALSE
[21,] FALSE FALSE FALSE
[22,] FALSE FALSE FALSE
[23,] FALSE FALSE FALSE
[24,] FALSE FALSE FALSE
[25,] FALSE FALSE FALSE
[26,] FALSE FALSE FALSE
[27,] FALSE FALSE FALSE
[28,] FALSE FALSE FALSE
[29,] FALSE FALSE FALSE
[30,] FALSE FALSE FALSE
[31,] FALSE FALSE FALSE
[32,] FALSE FALSE FALSE
[33,] FALSE FALSE FALSE
[34,] FALSE FALSE FALSE
[35,] FALSE FALSE FALSE
[36,] FALSE FALSE FALSE
[37,] FALSE FALSE FALSE
[38,] FALSE FALSE FALSE
[39,] FALSE FALSE FALSE
[40,] FALSE FALSE FALSE
[41,] FALSE FALSE FALSE
[42,] FALSE FALSE FALSE
[43,] FALSE FALSE FALSE
[44,] FALSE FALSE FALSE
[45,] FALSE FALSE FALSE
[46,] FALSE FALSE FALSE
[47,] FALSE FALSE FALSE
[48,] FALSE FALSE FALSE
[49,] FALSE FALSE FALSE
[50,] FALSE FALSE FALSE
[51,] FALSE FALSE FALSE
[52,] FALSE FALSE FALSE
[53,] FALSE FALSE FALSE
[54,] FALSE FALSE FALSE
[55,] FALSE FALSE FALSE
[56,] FALSE FALSE FALSE
[57,] FALSE FALSE FALSE
[58,] FALSE FALSE FALSE
[59,] FALSE FALSE FALSE
[60,] FALSE FALSE FALSE
[61,] FALSE FALSE FALSE
[62,] FALSE FALSE FALSE
[63,] FALSE FALSE FALSE
[64,] FALSE FALSE FALSE
[65,] FALSE FALSE FALSE
[66,] FALSE FALSE FALSE
[67,] FALSE FALSE FALSE
[68,] FALSE FALSE FALSE
[69,] FALSE FALSE FALSE
[70,] FALSE FALSE FALSE
[71,] FALSE FALSE FALSE
[72,] FALSE FALSE FALSE
[73,] FALSE FALSE FALSE
[74,] FALSE FALSE FALSE
[75,] FALSE FALSE FALSE
[76,] FALSE FALSE FALSE
[77,] FALSE FALSE FALSE
[78,] FALSE FALSE FALSE
[79,] FALSE FALSE FALSE
[80,] FALSE FALSE FALSE
[81,] FALSE FALSE FALSE
[82,] FALSE FALSE FALSE
[83,] FALSE FALSE FALSE
[84,] FALSE FALSE FALSE
[85,] FALSE FALSE FALSE
[86,] FALSE FALSE FALSE
[87,] FALSE FALSE FALSE
[88,] FALSE FALSE FALSE
[89,] FALSE FALSE FALSE
[90,] FALSE FALSE FALSE
[91,] FALSE FALSE FALSE
[92,] FALSE FALSE FALSE
[93,] FALSE FALSE FALSE
[94,] FALSE FALSE FALSE
[95,] FALSE FALSE FALSE
[96,] FALSE FALSE FALSE
[97,] FALSE FALSE FALSE
[98,] FALSE FALSE FALSE
[99,] FALSE FALSE FALSE
[100,] FALSE FALSE FALSE
[101,] FALSE FALSE FALSE
[102,] FALSE FALSE FALSE
[103,] FALSE FALSE FALSE
[104,] FALSE FALSE FALSE
[105,] FALSE FALSE FALSE
[106,] FALSE FALSE FALSE
[107,] FALSE FALSE FALSE
[108,] FALSE FALSE FALSE
[109,] FALSE FALSE FALSE
[110,] FALSE FALSE FALSE
[111,] FALSE FALSE FALSE
[112,] FALSE FALSE FALSE
[113,] FALSE FALSE FALSE
[114,] FALSE FALSE FALSE
[115,] FALSE FALSE FALSE
[116,] FALSE FALSE FALSE
[117,] FALSE FALSE FALSE
[118,] FALSE FALSE FALSE
[119,] FALSE FALSE FALSE
[120,] FALSE FALSE FALSE
[121,] FALSE FALSE FALSE
[122,] FALSE FALSE FALSE
[123,] FALSE FALSE FALSE
[124,] FALSE FALSE FALSE
[125,] FALSE FALSE FALSE
[126,] FALSE FALSE FALSE
[127,] FALSE FALSE FALSE
[128,] FALSE FALSE FALSE
[129,] FALSE FALSE FALSE
[130,] FALSE FALSE FALSE
[131,] FALSE FALSE FALSE
[132,] FALSE FALSE FALSE
[133,] FALSE FALSE FALSE
[134,] FALSE FALSE FALSE
[135,] FALSE FALSE FALSE
[136,] FALSE FALSE FALSE
[137,] FALSE FALSE FALSE
[138,] FALSE FALSE FALSE
[139,] FALSE FALSE FALSE
[140,] FALSE FALSE FALSE
[141,] FALSE FALSE FALSE
[142,] FALSE FALSE FALSE
[143,] FALSE FALSE FALSE
[144,] FALSE FALSE FALSE
[145,] FALSE FALSE FALSE
[146,] FALSE FALSE FALSE
[147,] FALSE FALSE FALSE
[148,] FALSE FALSE FALSE
[149,] FALSE FALSE FALSE
[150,] FALSE FALSE FALSE
[151,] FALSE FALSE FALSE
[152,] FALSE FALSE FALSE
[153,] FALSE FALSE FALSE
[154,] FALSE FALSE FALSE
[155,] FALSE FALSE FALSE
[156,] FALSE FALSE FALSE
[157,] FALSE FALSE FALSE
[158,] FALSE FALSE FALSE
[159,] FALSE FALSE FALSE
[160,] FALSE FALSE FALSE
[161,] FALSE FALSE FALSE
[162,] FALSE FALSE FALSE
[163,] FALSE FALSE FALSE
[164,] FALSE FALSE FALSE
[165,] FALSE FALSE FALSE
[166,] FALSE FALSE FALSE
[167,] FALSE FALSE FALSE
[168,] FALSE FALSE FALSE
[169,] FALSE FALSE FALSE
[170,] FALSE FALSE FALSE
[171,] FALSE FALSE FALSE
[172,] FALSE FALSE FALSE
[173,] FALSE FALSE FALSE
[174,] FALSE FALSE FALSE
[175,] FALSE FALSE FALSE
[176,] FALSE FALSE FALSE
[177,] FALSE FALSE FALSE
[178,] FALSE FALSE FALSE
[179,] FALSE FALSE FALSE
[180,] FALSE FALSE FALSE
[181,] FALSE FALSE FALSE
[182,] FALSE FALSE FALSE
[183,] FALSE FALSE FALSE
[184,] FALSE FALSE FALSE
[185,] FALSE FALSE FALSE
[186,] FALSE FALSE FALSE
[187,] FALSE FALSE FALSE
[188,] FALSE FALSE FALSE
[189,] FALSE FALSE FALSE
[190,] FALSE FALSE FALSE
[191,] FALSE FALSE FALSE
[192,] FALSE FALSE FALSE
[193,] FALSE FALSE FALSE
[194,] FALSE FALSE FALSE
[195,] FALSE FALSE FALSE
[196,] FALSE FALSE FALSE
[197,] FALSE FALSE FALSE
[198,] FALSE FALSE FALSE
[199,] FALSE FALSE FALSE
[200,] FALSE FALSE FALSE
[201,] FALSE FALSE FALSE
[202,] FALSE FALSE FALSE
[203,] FALSE FALSE FALSE
[204,] FALSE FALSE FALSE
[205,] FALSE FALSE FALSE
[206,] FALSE FALSE FALSE
[207,] FALSE FALSE FALSE
[208,] FALSE FALSE FALSE
[209,] FALSE FALSE FALSE
[210,] FALSE FALSE FALSE
[211,] FALSE FALSE FALSE
[212,] FALSE FALSE FALSE
[213,] FALSE FALSE FALSE
[214,] FALSE FALSE FALSE
[215,] FALSE FALSE FALSE
[216,] FALSE FALSE FALSE
[217,] FALSE FALSE FALSE
[218,] FALSE FALSE FALSE
[219,] FALSE FALSE FALSE
[220,] FALSE FALSE FALSE
[221,] FALSE FALSE FALSE
[222,] FALSE FALSE FALSE
[223,] FALSE FALSE FALSE
[224,] FALSE FALSE FALSE
[225,] FALSE FALSE FALSE
[226,] FALSE FALSE FALSE
[227,] FALSE FALSE FALSE
[228,] FALSE FALSE FALSE
[229,] FALSE FALSE FALSE
[230,] FALSE FALSE FALSE
[231,] FALSE FALSE FALSE
[232,] FALSE FALSE FALSE
[233,] FALSE FALSE FALSE
[234,] FALSE FALSE FALSE
[235,] FALSE FALSE FALSE
[236,] FALSE FALSE FALSE
[237,] FALSE FALSE FALSE
[238,] FALSE FALSE FALSE
[239,] FALSE FALSE FALSE
[240,] FALSE FALSE FALSE
[241,] FALSE FALSE FALSE
[242,] FALSE FALSE FALSE
[243,] FALSE FALSE FALSE
[244,] FALSE FALSE FALSE
[245,] FALSE FALSE FALSE
[246,] FALSE FALSE FALSE
[247,] FALSE FALSE FALSE
[248,] FALSE FALSE FALSE
[249,] FALSE FALSE FALSE
[250,] FALSE FALSE FALSE
[251,] FALSE FALSE FALSE
[252,] FALSE FALSE FALSE
[253,] FALSE FALSE FALSE
[254,] FALSE FALSE FALSE
[255,] FALSE FALSE FALSE
[256,] FALSE FALSE FALSE
[257,] FALSE FALSE FALSE
[258,] FALSE FALSE FALSE
[259,] FALSE FALSE FALSE
[260,] FALSE FALSE FALSE
[261,] FALSE FALSE FALSE
[262,] FALSE FALSE FALSE
[263,] FALSE FALSE FALSE
[264,] FALSE FALSE FALSE
[265,] FALSE FALSE FALSE
[266,] FALSE FALSE FALSE
[267,] FALSE FALSE FALSE
[268,] FALSE FALSE FALSE
[269,] FALSE FALSE FALSE
[270,] FALSE FALSE FALSE
[271,] FALSE FALSE FALSE
[272,] FALSE FALSE FALSE
[273,] FALSE FALSE FALSE
[274,] FALSE FALSE FALSE
[275,] FALSE FALSE FALSE
[276,] FALSE FALSE FALSE
[277,] FALSE FALSE FALSE
[278,] FALSE FALSE FALSE
[279,] FALSE FALSE FALSE
[280,] FALSE FALSE FALSE
[281,] FALSE FALSE FALSE
[282,] FALSE FALSE FALSE
[283,] FALSE FALSE FALSE
[284,] FALSE FALSE FALSE
[285,] FALSE FALSE FALSE
[286,] FALSE FALSE FALSE
[287,] FALSE FALSE FALSE
[288,] FALSE FALSE FALSE
[289,] FALSE FALSE FALSE
[290,] FALSE FALSE FALSE
[291,] FALSE FALSE FALSE
[292,] FALSE FALSE FALSE
[293,] FALSE FALSE FALSE
[294,] FALSE FALSE FALSE
[295,] FALSE FALSE FALSE
[296,] FALSE FALSE FALSE
[297,] FALSE FALSE FALSE
[298,] FALSE FALSE FALSE
[299,] FALSE FALSE FALSE
[300,] FALSE FALSE FALSE
[301,] FALSE FALSE FALSE
[302,] FALSE FALSE FALSE
[303,] FALSE FALSE FALSE
[304,] FALSE FALSE FALSE
[305,] FALSE FALSE FALSE
[306,] FALSE FALSE FALSE
[307,] FALSE FALSE FALSE
[308,] FALSE FALSE FALSE
[309,] FALSE FALSE FALSE
[310,] FALSE FALSE FALSE
[311,] FALSE FALSE FALSE
[312,] FALSE FALSE FALSE
[313,] FALSE FALSE FALSE
[314,] FALSE FALSE FALSE
[315,] FALSE FALSE FALSE
[316,] FALSE FALSE FALSE
[317,] FALSE FALSE FALSE
[318,] FALSE FALSE FALSE
[319,] FALSE FALSE FALSE
[320,] FALSE FALSE FALSE
[321,] FALSE FALSE FALSE
[322,] FALSE FALSE FALSE
[323,] FALSE FALSE FALSE
[324,] FALSE FALSE FALSE
[325,] FALSE FALSE FALSE
[326,] FALSE FALSE FALSE
[327,] FALSE FALSE FALSE
[328,] FALSE FALSE FALSE
[329,] FALSE FALSE FALSE
[330,] FALSE FALSE FALSE
[331,] FALSE FALSE FALSE
[332,] FALSE FALSE FALSE
[333,] FALSE FALSE FALSE
[334,] FALSE FALSE FALSE
[335,] FALSE FALSE FALSE
[336,] FALSE FALSE FALSE
[337,] FALSE FALSE FALSE
[338,] FALSE FALSE FALSE
[339,] FALSE FALSE FALSE
[340,] FALSE FALSE FALSE
[341,] FALSE FALSE FALSE
[342,] FALSE FALSE FALSE
[343,] FALSE FALSE FALSE
[344,] FALSE FALSE FALSE
[345,] FALSE FALSE FALSE
[346,] FALSE FALSE FALSE
[347,] FALSE FALSE FALSE
[348,] FALSE FALSE FALSE
[349,] FALSE FALSE FALSE
[350,] FALSE FALSE FALSE
[351,] FALSE FALSE FALSE
[352,] FALSE FALSE FALSE
[353,] FALSE FALSE FALSE
[354,] FALSE FALSE FALSE
[355,] FALSE FALSE FALSE
[356,] FALSE FALSE FALSE
[357,] FALSE FALSE FALSE
[358,] FALSE FALSE FALSE
[359,] FALSE FALSE FALSE
[360,] FALSE FALSE FALSE
[361,] FALSE FALSE FALSE
[362,] FALSE FALSE FALSE
[363,] FALSE FALSE FALSE
[364,] FALSE FALSE FALSE
[365,] FALSE FALSE FALSE
[366,] FALSE FALSE FALSE
[367,] FALSE FALSE FALSE
[368,] FALSE FALSE FALSE
[369,] FALSE FALSE FALSE
[370,] FALSE FALSE FALSE
[371,] FALSE FALSE FALSE
[372,] FALSE FALSE FALSE
[373,] FALSE FALSE FALSE
[374,] FALSE FALSE FALSE
[375,] FALSE FALSE FALSE
[376,] FALSE FALSE FALSE
[377,] FALSE FALSE FALSE
[378,] FALSE FALSE FALSE
[379,] FALSE FALSE FALSE
[380,] FALSE FALSE FALSE
[381,] FALSE FALSE FALSE
[382,] FALSE FALSE FALSE
[383,] FALSE FALSE FALSE
[384,] FALSE FALSE FALSE
[385,] FALSE FALSE FALSE
[386,] FALSE FALSE FALSE
[387,] FALSE FALSE FALSE
[388,] FALSE FALSE FALSE
[389,] FALSE FALSE FALSE
[390,] FALSE FALSE FALSE
[391,] FALSE FALSE FALSE
[392,] FALSE FALSE FALSE
[393,] FALSE FALSE FALSE
[394,] FALSE FALSE FALSE
[395,] FALSE FALSE FALSE
[396,] FALSE FALSE FALSE
[397,] FALSE FALSE FALSE
[398,] FALSE FALSE FALSE
[399,] FALSE FALSE FALSE
[400,] FALSE FALSE FALSE
[401,] FALSE FALSE FALSE
[402,] FALSE FALSE FALSE
[403,] FALSE FALSE FALSE
[404,] FALSE FALSE FALSE
[405,] FALSE FALSE FALSE
[406,] FALSE FALSE FALSE
[407,] FALSE FALSE FALSE
[408,] FALSE FALSE FALSE
[409,] FALSE FALSE FALSE
[410,] FALSE FALSE FALSE
[411,] FALSE FALSE FALSE
[412,] FALSE FALSE FALSE
[413,] FALSE FALSE FALSE
[414,] FALSE FALSE FALSE
[415,] FALSE FALSE FALSE
[416,] FALSE FALSE FALSE
[417,] FALSE FALSE FALSE
[418,] FALSE FALSE FALSE
[419,] FALSE FALSE FALSE
[420,] FALSE FALSE FALSE
[421,] FALSE FALSE FALSE
[422,] FALSE FALSE FALSE
[423,] FALSE FALSE FALSE
[424,] FALSE FALSE FALSE
[425,] FALSE FALSE FALSE
[426,] FALSE FALSE FALSE
[427,] FALSE FALSE FALSE
[428,] FALSE FALSE FALSE
[429,] FALSE FALSE FALSE
[430,] FALSE FALSE FALSE
[431,] FALSE FALSE FALSE
[432,] FALSE FALSE FALSE
[433,] FALSE FALSE FALSE
[434,] FALSE FALSE FALSE
[435,] FALSE FALSE FALSE
[436,] FALSE FALSE FALSE
[437,] FALSE FALSE FALSE
[438,] FALSE FALSE FALSE
[439,] FALSE FALSE FALSE
[440,] FALSE FALSE FALSE
[441,] FALSE FALSE FALSE
[442,] FALSE FALSE FALSE
[443,] FALSE FALSE FALSE
[444,] FALSE FALSE FALSE
[445,] FALSE FALSE FALSE
[446,] FALSE FALSE FALSE
[447,] FALSE FALSE FALSE
[448,] FALSE FALSE FALSE
[449,] FALSE FALSE FALSE
[450,] FALSE FALSE FALSE
[451,] FALSE FALSE FALSE
[452,] FALSE FALSE FALSE
[453,] FALSE FALSE FALSE
[454,] FALSE FALSE FALSE
[455,] FALSE FALSE FALSE
[456,] FALSE FALSE FALSE
[457,] FALSE FALSE FALSE
[458,] FALSE FALSE FALSE
[459,] FALSE FALSE FALSE
[460,] FALSE FALSE FALSE
[461,] FALSE FALSE FALSE
[462,] FALSE FALSE FALSE
[463,] FALSE FALSE FALSE
[464,] FALSE FALSE FALSE
[465,] FALSE FALSE FALSE
[466,] FALSE FALSE FALSE
[467,] FALSE FALSE FALSE
[468,] FALSE FALSE FALSE
[469,] FALSE FALSE FALSE
[470,] FALSE FALSE FALSE
[471,] FALSE FALSE FALSE
[472,] FALSE FALSE FALSE
[473,] FALSE FALSE FALSE
[474,] FALSE FALSE FALSE
[475,] FALSE FALSE FALSE
[476,] FALSE FALSE FALSE
[477,] FALSE FALSE FALSE
[478,] FALSE FALSE FALSE
[479,] FALSE FALSE FALSE
[480,] FALSE FALSE FALSE
[481,] FALSE FALSE FALSE
[482,] FALSE FALSE FALSE
[483,] FALSE FALSE FALSE
[484,] FALSE FALSE FALSE
[485,] FALSE FALSE FALSE
[486,] FALSE FALSE FALSE
[487,] FALSE FALSE FALSE
[488,] FALSE FALSE FALSE
[489,] FALSE FALSE FALSE
[490,] FALSE FALSE FALSE
[491,] FALSE FALSE FALSE
[492,] FALSE FALSE FALSE
[493,] FALSE FALSE FALSE
[494,] FALSE FALSE FALSE
[495,] FALSE FALSE FALSE
[496,] FALSE FALSE FALSE
[497,] FALSE FALSE FALSE
[498,] FALSE FALSE FALSE
[499,] FALSE FALSE FALSE
[500,] FALSE FALSE FALSE
[501,] FALSE FALSE FALSE
[502,] FALSE FALSE FALSE
[503,] FALSE FALSE FALSE
[504,] FALSE FALSE FALSE
[505,] FALSE FALSE FALSE
[506,] FALSE FALSE FALSE
[507,] FALSE FALSE FALSE
[508,] FALSE FALSE FALSE
[509,] FALSE FALSE FALSE
[510,] FALSE FALSE FALSE
[511,] FALSE FALSE FALSE
[512,] FALSE FALSE FALSE
[513,] FALSE FALSE FALSE
[514,] FALSE FALSE FALSE
[515,] FALSE FALSE FALSE
[516,] FALSE FALSE FALSE
[517,] FALSE FALSE FALSE
[518,] FALSE FALSE FALSE
[519,] FALSE FALSE FALSE
[520,] FALSE FALSE FALSE
[521,] FALSE FALSE FALSE
[522,] FALSE FALSE FALSE
[523,] FALSE FALSE FALSE
[524,] FALSE FALSE FALSE
[525,] FALSE FALSE FALSE
[526,] FALSE FALSE FALSE
[527,] FALSE FALSE FALSE
[528,] FALSE FALSE FALSE
[529,] FALSE FALSE FALSE
[530,] FALSE FALSE FALSE
[531,] FALSE FALSE FALSE
[532,] FALSE FALSE FALSE
[533,] FALSE FALSE FALSE
[534,] FALSE FALSE FALSE
[535,] FALSE FALSE FALSE
[536,] FALSE FALSE FALSE
[537,] FALSE FALSE FALSE
[538,] FALSE FALSE FALSE
[539,] FALSE FALSE FALSE
[540,] FALSE FALSE FALSE
[541,] FALSE FALSE FALSE
[542,] FALSE FALSE FALSE
[543,] FALSE FALSE FALSE
[544,] FALSE FALSE FALSE
[545,] FALSE FALSE FALSE
[546,] FALSE FALSE FALSE
[547,] FALSE FALSE FALSE
[548,] FALSE FALSE FALSE
[549,] FALSE FALSE FALSE
[550,] FALSE FALSE FALSE
[551,] FALSE FALSE FALSE
[552,] FALSE FALSE FALSE
[553,] FALSE FALSE FALSE
[554,] FALSE FALSE FALSE
[555,] FALSE FALSE FALSE
[556,] FALSE FALSE FALSE
[557,] FALSE FALSE FALSE
[558,] FALSE FALSE FALSE
[559,] FALSE FALSE FALSE
[560,] FALSE FALSE FALSE
[561,] FALSE FALSE FALSE
[562,] FALSE FALSE FALSE
[563,] FALSE FALSE FALSE
[564,] FALSE FALSE FALSE
[565,] FALSE FALSE FALSE
[566,] FALSE FALSE FALSE
[567,] FALSE FALSE FALSE
[568,] FALSE FALSE FALSE
[569,] FALSE FALSE FALSE
[570,] FALSE FALSE FALSE
[571,] FALSE FALSE FALSE
[572,] FALSE FALSE FALSE
[573,] FALSE FALSE FALSE
[574,] FALSE FALSE FALSE
[575,] FALSE FALSE FALSE
[576,] FALSE FALSE FALSE
[577,] FALSE FALSE FALSE
[578,] FALSE FALSE FALSE
[579,] FALSE FALSE FALSE
[580,] FALSE FALSE FALSE
[581,] FALSE FALSE FALSE
[582,] FALSE FALSE FALSE
[583,] FALSE FALSE FALSE
[584,] FALSE FALSE FALSE
[585,] FALSE FALSE FALSE
[586,] FALSE FALSE FALSE
[587,] FALSE FALSE FALSE
[588,] FALSE FALSE FALSE
[589,] FALSE FALSE FALSE
[590,] FALSE FALSE FALSE
[591,] FALSE FALSE FALSE
[592,] FALSE FALSE FALSE
[593,] FALSE FALSE FALSE
[594,] FALSE FALSE FALSE
[595,] FALSE FALSE FALSE
[596,] FALSE FALSE FALSE
[597,] FALSE FALSE FALSE
[598,] FALSE FALSE FALSE
[599,] FALSE FALSE FALSE
[600,] FALSE FALSE FALSE
[601,] FALSE FALSE FALSE
[602,] FALSE FALSE FALSE
[603,] FALSE FALSE FALSE
[604,] FALSE FALSE FALSE
[605,] FALSE FALSE FALSE
[606,] FALSE FALSE FALSE
[607,] FALSE FALSE FALSE
[608,] FALSE FALSE FALSE
[609,] FALSE FALSE FALSE
[610,] FALSE FALSE FALSE
[611,] FALSE FALSE FALSE
[612,] FALSE FALSE FALSE
[613,] FALSE FALSE FALSE
[614,] FALSE FALSE FALSE
[615,] FALSE FALSE FALSE
[616,] FALSE FALSE FALSE
[617,] FALSE FALSE FALSE
[618,] FALSE FALSE FALSE
[619,] FALSE FALSE FALSE
[620,] FALSE FALSE FALSE
[621,] FALSE FALSE FALSE
[622,] FALSE FALSE FALSE
[623,] FALSE FALSE FALSE
[624,] FALSE FALSE FALSE
[625,] FALSE FALSE FALSE
[626,] FALSE FALSE FALSE
[627,] FALSE FALSE FALSE
[628,] FALSE FALSE FALSE
[629,] FALSE FALSE FALSE
[630,] FALSE FALSE FALSE
[631,] FALSE FALSE FALSE
[632,] FALSE FALSE FALSE
[633,] FALSE FALSE FALSE
[634,] FALSE FALSE FALSE
[635,] FALSE FALSE FALSE
[636,] FALSE FALSE FALSE
[637,] FALSE FALSE FALSE
[638,] FALSE FALSE FALSE
[639,] FALSE FALSE FALSE
[640,] FALSE FALSE FALSE
[641,] FALSE FALSE FALSE
[642,] FALSE FALSE FALSE
[643,] FALSE FALSE FALSE
[644,] FALSE FALSE FALSE
[645,] FALSE FALSE FALSE
[646,] FALSE FALSE FALSE
[647,] FALSE FALSE FALSE
[648,] FALSE FALSE FALSE
[649,] FALSE FALSE FALSE
[650,] FALSE FALSE FALSE
[651,] FALSE FALSE FALSE
[652,] FALSE FALSE FALSE
[653,] FALSE FALSE FALSE
[654,] FALSE FALSE FALSE
[655,] FALSE FALSE FALSE
[656,] FALSE FALSE FALSE
[657,] FALSE FALSE FALSE
[658,] FALSE FALSE FALSE
[659,] FALSE FALSE FALSE
[660,] FALSE FALSE FALSE
[661,] FALSE FALSE FALSE
[662,] FALSE FALSE FALSE
[663,] FALSE FALSE FALSE
[664,] FALSE FALSE FALSE
[665,] FALSE FALSE FALSE
[666,] FALSE FALSE FALSE
[667,] FALSE FALSE FALSE
[668,] FALSE FALSE FALSE
[669,] FALSE FALSE FALSE
[670,] FALSE FALSE FALSE
[671,] FALSE FALSE FALSE
[672,] FALSE FALSE FALSE
[673,] FALSE FALSE FALSE
[674,] FALSE FALSE FALSE
[675,] FALSE FALSE FALSE
[676,] FALSE FALSE FALSE
[677,] FALSE FALSE FALSE
[678,] FALSE FALSE FALSE
[679,] FALSE FALSE FALSE
[680,] FALSE FALSE FALSE
[681,] FALSE FALSE FALSE
[682,] FALSE FALSE FALSE
[683,] FALSE FALSE FALSE
[684,] FALSE FALSE FALSE
[685,] FALSE FALSE FALSE
[686,] FALSE FALSE FALSE
[687,] FALSE FALSE FALSE
[688,] FALSE FALSE FALSE
[689,] FALSE FALSE FALSE
[690,] FALSE FALSE FALSE
[691,] FALSE FALSE FALSE
[692,] FALSE FALSE FALSE
[693,] FALSE FALSE FALSE
[694,] FALSE FALSE FALSE
[695,] FALSE FALSE FALSE
[696,] FALSE FALSE FALSE
[697,] FALSE FALSE FALSE
[698,] FALSE FALSE FALSE
[699,] FALSE FALSE FALSE
[700,] FALSE FALSE FALSE
[701,] FALSE FALSE FALSE
[702,] FALSE FALSE FALSE
[703,] FALSE FALSE FALSE
[704,] FALSE FALSE FALSE
[705,] FALSE FALSE FALSE
[706,] FALSE FALSE FALSE
[707,] FALSE FALSE FALSE
[708,] FALSE FALSE FALSE
[709,] FALSE FALSE FALSE
[710,] FALSE FALSE FALSE
[711,] FALSE FALSE FALSE
[712,] FALSE FALSE FALSE
[713,] FALSE FALSE FALSE
[714,] FALSE FALSE FALSE
[715,] FALSE FALSE FALSE
[716,] FALSE FALSE FALSE
[717,] FALSE FALSE FALSE
[718,] FALSE FALSE FALSE
[719,] FALSE FALSE FALSE
[720,] FALSE FALSE FALSE
[721,] FALSE FALSE FALSE
[722,] FALSE FALSE FALSE
[723,] FALSE FALSE FALSE
[724,] FALSE FALSE FALSE
[725,] FALSE FALSE FALSE
[726,] FALSE FALSE FALSE
[727,] FALSE FALSE FALSE
[728,] FALSE FALSE FALSE
[729,] FALSE FALSE FALSE
[730,] FALSE FALSE FALSE
[731,] FALSE FALSE FALSE
[732,] FALSE FALSE FALSE
[733,] FALSE FALSE FALSE
[734,] FALSE FALSE FALSE
[735,] FALSE FALSE FALSE
[736,] FALSE FALSE FALSE
[737,] FALSE FALSE FALSE
[738,] FALSE FALSE FALSE
[739,] FALSE FALSE FALSE
[740,] FALSE FALSE FALSE
[741,] FALSE FALSE FALSE
[742,] FALSE FALSE FALSE
[743,] FALSE FALSE FALSE
[744,] FALSE FALSE FALSE
[745,] FALSE FALSE FALSE
[746,] FALSE FALSE FALSE
[747,] FALSE FALSE FALSE
[748,] FALSE FALSE FALSE
[749,] FALSE FALSE FALSE
[750,] FALSE FALSE FALSE
[751,] FALSE FALSE FALSE
[752,] FALSE FALSE FALSE
[753,] FALSE FALSE FALSE
[754,] FALSE FALSE FALSE
[755,] FALSE FALSE FALSE
[756,] FALSE FALSE FALSE
[757,] FALSE FALSE FALSE
[758,] FALSE FALSE FALSE
[759,] FALSE FALSE FALSE
[760,] FALSE FALSE FALSE
[761,] FALSE FALSE FALSE
[762,] FALSE FALSE FALSE
[763,] FALSE FALSE FALSE
[764,] FALSE FALSE FALSE
[765,] FALSE FALSE FALSE
[766,] FALSE FALSE FALSE
[767,] FALSE FALSE FALSE
[768,] FALSE FALSE FALSE
[769,] FALSE FALSE FALSE
[770,] FALSE FALSE FALSE
[771,] FALSE FALSE FALSE
[772,] FALSE FALSE FALSE
[773,] FALSE FALSE FALSE
[774,] FALSE FALSE FALSE
[775,] FALSE FALSE FALSE
[776,] FALSE FALSE FALSE
[777,] FALSE FALSE FALSE
[778,] FALSE FALSE FALSE
[779,] FALSE FALSE FALSE
[780,] FALSE FALSE FALSE
[781,] FALSE FALSE FALSE
[782,] FALSE FALSE FALSE
[783,] FALSE FALSE FALSE
[784,] FALSE FALSE FALSE
[785,] FALSE FALSE FALSE
[786,] FALSE FALSE FALSE
[787,] FALSE FALSE FALSE
[788,] FALSE FALSE FALSE
[789,] FALSE FALSE FALSE
[790,] FALSE FALSE FALSE
[791,] FALSE FALSE FALSE
[792,] FALSE FALSE FALSE
[793,] FALSE FALSE FALSE
[794,] FALSE FALSE FALSE
[795,] FALSE FALSE FALSE
[796,] FALSE FALSE FALSE
[797,] FALSE FALSE FALSE
[798,] FALSE FALSE FALSE
[799,] FALSE FALSE FALSE
[800,] FALSE FALSE FALSE
[801,] FALSE FALSE FALSE
[802,] FALSE FALSE FALSE
[803,] FALSE FALSE FALSE
[804,] FALSE FALSE FALSE
[805,] FALSE FALSE FALSE
[806,] FALSE FALSE FALSE
[807,] FALSE FALSE FALSE
[808,] FALSE FALSE FALSE
[809,] FALSE FALSE FALSE
[810,] FALSE FALSE FALSE
[811,] FALSE FALSE FALSE
[812,] FALSE FALSE FALSE
[813,] FALSE FALSE FALSE
[814,] FALSE FALSE FALSE
[815,] FALSE FALSE FALSE
[816,] FALSE FALSE FALSE
[817,] FALSE FALSE FALSE
[818,] FALSE FALSE FALSE
[819,] FALSE FALSE FALSE
[820,] FALSE FALSE FALSE
[821,] FALSE FALSE FALSE
[822,] FALSE FALSE FALSE
[823,] FALSE FALSE FALSE
[824,] FALSE FALSE FALSE
[825,] FALSE FALSE FALSE
[826,] FALSE FALSE FALSE
[827,] FALSE FALSE FALSE
[828,] FALSE FALSE FALSE
[829,] FALSE FALSE FALSE
[830,] FALSE FALSE FALSE
[831,] FALSE FALSE FALSE
[832,] FALSE FALSE FALSE
[833,] FALSE FALSE FALSE
[834,] FALSE FALSE FALSE
[835,] FALSE FALSE FALSE
[836,] FALSE FALSE FALSE
[837,] FALSE FALSE FALSE
[838,] FALSE FALSE FALSE
[839,] FALSE FALSE FALSE
[840,] FALSE FALSE FALSE
[841,] FALSE FALSE FALSE
[842,] FALSE FALSE FALSE
[843,] FALSE FALSE FALSE
[844,] FALSE FALSE FALSE
[845,] FALSE FALSE FALSE
[846,] FALSE FALSE FALSE
[847,] FALSE FALSE FALSE
[848,] FALSE FALSE FALSE
[849,] FALSE FALSE FALSE
[850,] FALSE FALSE FALSE
[851,] FALSE FALSE FALSE
[852,] FALSE FALSE FALSE
[853,] FALSE FALSE FALSE
[854,] FALSE FALSE FALSE
[855,] FALSE FALSE FALSE
[856,] FALSE FALSE FALSE
[857,] FALSE FALSE FALSE
[858,] FALSE FALSE FALSE
[859,] FALSE FALSE FALSE
[860,] FALSE FALSE FALSE
[861,] FALSE FALSE FALSE
[862,] FALSE FALSE FALSE
[863,] FALSE FALSE FALSE
[864,] FALSE FALSE FALSE
[865,] FALSE FALSE FALSE
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--- function from context ---
function (n.go, adjusted, unadjusted, gene.based.table, output.dir = tempdir(),
type.boxplot = c("All", "Only3"))
{
if (!dir.exists(output.dir)) {
dir.create(output.dir, recursive = TRUE)
}
n <- n.go
example.go.adjusted.by.exon <- as.data.frame(adjusted)
example.go.unadjusted <- as.data.frame(unadjusted)
if (is.na(example.go.adjusted.by.exon) || is.na(example.go.unadjusted)) {
cat("One of results is empty\n\n")
return()
}
else {
if (dim(example.go.adjusted.by.exon)[1] >= n && dim(example.go.unadjusted)[1] >=
n) {
adjusted <- example.go.adjusted.by.exon[1:n, 1]
unadjusted <- example.go.unadjusted[1:n, 1]
re <- list(adjusted = adjusted, unadjusted = unadjusted)
vp <- venn.diagram(re, fill = c("red", "blue"), cat.col = c("red",
"blue"), alpha = 0.3, filename = file.path(output.dir,
paste0(names(re)[1], "_", names(re)[2], "_overlap_venn.tiff")))
common <- intersect(unadjusted, adjusted)
In.unadjusted.not.in.adjusted <- setdiff(unadjusted,
common)
In.adjusted.not.in.unadjusted <- setdiff(adjusted,
common)
if (length(In.unadjusted.not.in.adjusted) != 0 &&
length(In.adjusted.not.in.unadjusted) != 0) {
index1 <- match(In.adjusted.not.in.unadjusted,
example.go.adjusted.by.exon$gene_set)
index1.name <- unique(unlist(example.go.adjusted.by.exon[index1,
]$All_gene_ensembl))
In.ad.not.un <- gene.based.table[match(index1.name,
gene.based.table$geneID), ]$numFeature
yy <- cbind(example.go.unadjusted[index1, ]$rank.value.by.over_represented_pvalue,
example.go.adjusted.by.exon[index1, ]$rank.value.by.over_represented_pvalue)
index2 <- match(In.unadjusted.not.in.adjusted,
example.go.unadjusted$gene_set)
index2.name <- unique(unlist(example.go.unadjusted[index2,
]$All_gene_ensembl))
In.un.not.ad <- gene.based.table[match(index2.name,
gene.based.table$geneID), ]$numFeature
yyy <- cbind(example.go.unadjusted[index2, ]$rank.value.by.over_represented_pvalue,
example.go.adjusted.by.exon[index2, ]$rank.value.by.over_represented_pvalue)
cp.topN.adjusted.name <- unique(unlist(example.go.adjusted.by.exon[1:n,
]$All_gene_ensembl))
cp.topN.adjusted <- gene.based.table[match(cp.topN.adjusted.name,
gene.based.table$geneID), ]$numFeature
cp.topN.unadjusted.name <- unique(unlist(example.go.unadjusted[1:n,
]$All_gene_ensembl))
cp.topN.unadjusted <- gene.based.table[match(cp.topN.unadjusted.name,
gene.based.table$geneID), ]$numFeature
adjusted.name <- unique(unlist(example.go.adjusted.by.exon$All_gene_ensembl))
cp.all.adjusted <- gene.based.table[match(adjusted.name,
gene.based.table$geneID), ]$numFeature
unadjusted.name <- unique(unlist(example.go.unadjusted$All_gene_ensembl))
cp.all.unadjusted <- gene.based.table[match(unadjusted.name,
gene.based.table$geneID), ]$numFeature
type.boxplot <- match.arg(type.boxplot)
switch(type.boxplot, Only3 = {
yy <- rbind(cbind(cp.topN.adjusted, rep(paste0("Adjusted_",
n.go), length(cp.topN.adjusted))), cbind(cp.topN.unadjusted,
rep(paste0("Unadjusted_", n.go), length(cp.topN.unadjusted))),
cbind(cp.all.unadjusted, rep("All", length(cp.all.unadjusted))))
colnames(yy) <- c("y", "grp")
yy <- as.data.frame(yy)
yy$grp <- factor(yy$grp)
yy$grp <- factor(yy$grp, levels = levels(yy$grp)[c(2,
1, 3)])
yy$y <- as.numeric(as.character(yy$y))
colnames(yy) <- c("numFeature", "category")
m = list(l = 200, r = 5, b = 5, t = 5, pad = 4)
p <- plot_ly(yy, x = ~numFeature, color = ~category,
type = "box") %>% layout(margin = m)
htmlwidgets::saveWidget(p, file.path(output.dir,
"boxplot.html"))
}, {
yy <- rbind(cbind(In.ad.not.un, rep("adjusted.only",
length(In.ad.not.un))), cbind(In.un.not.ad,
rep("unadjusted.only", length(In.un.not.ad))),
cbind(cp.topN.adjusted, rep(paste0("top.adjusted.",
n.go), length(cp.topN.adjusted))), cbind(cp.topN.unadjusted,
rep(paste0("top.unadjusted.", n.go), length(cp.topN.unadjusted))),
cbind(cp.all.adjusted, rep("all.adjusted",
length(cp.all.adjusted))), cbind(cp.all.unadjusted,
rep("all.unadjusted", length(cp.all.unadjusted))))
colnames(yy) <- c("y", "grp")
yy <- as.data.frame(yy)
yy$y <- as.numeric(as.character(yy$y))
colnames(yy) <- c("numFeature", "category")
m = list(l = 200, r = 5, b = 5, t = 5, pad = 4)
p <- plot_ly(yy, x = ~numFeature, color = ~category,
type = "box") %>% layout(margin = m)
print(p)
htmlwidgets::saveWidget(p, file.path(output.dir,
"boxplot.html"))
})
na.pad <- function(x, len) {
x[1:len]
}
makePaddedDataFrame <- function(l, ...) {
maxlen <- max(sapply(l, length))
data.frame(lapply(l, na.pad, len = maxlen),
...)
}
x <- In.adjusted.not.in.unadjusted
y <- In.unadjusted.not.in.adjusted
z <- common
venn.res <- makePaddedDataFrame(list(x = x, y = y,
z = z))
colnames(venn.res) <- c("adjusted.only", "unadjusted.only",
"common")
write.table(venn.res, file = file.path(output.dir,
"results4venn.csv"), quote = FALSE, sep = ",",
eol = "\n", na = " ", dec = ".", row.names = FALSE,
col.names = TRUE)
temp1 <- dplyr::as_data_frame(example.go.adjusted.by.exon[index1,
])
writeTibble(temp1, file.path(output.dir, "adjustedOnly.csv"))
temp2 <- dplyr::as_data_frame(example.go.unadjusted[index2,
])
writeTibble(temp2, file.path(output.dir, "unadjustedOnly.csv"))
}
else {
if (length(In.unadjusted.not.in.adjusted) ==
0) {
cat("there is no significant gene sets in unadjusted results only\n")
}
cat("\n")
if (length(In.adjusted.not.in.unadjusted) ==
0) {
cat("there is no significant gene sets in adjusted results only\n")
}
cat("\n")
}
}
else {
cat("The enriched gene sets is less than", n, "\n")
}
}
}
<bytecode: 0x562385134c20>
<environment: namespace:PathwaySplice>
--- function search by body ---
Function compareResults in namespace PathwaySplice has this body.
----------- END OF FAILURE REPORT --------------
Fatal error: length > 1 in coercion to logical
PathwaySplice.Rcheck/PathwaySplice-Ex.timings
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