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This page was generated on 2024-04-18 11:32:10 -0400 (Thu, 18 Apr 2024).
Hostname | OS | Arch (*) | R version | Installed pkgs |
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kjohnson1 | macOS 13.6.1 Ventura | arm64 | 4.3.3 (2024-02-29) -- "Angel Food Cake" | 4388 |
Click on any hostname to see more info about the system (e.g. compilers) (*) as reported by 'uname -p', except on Windows and Mac OS X |
Package 681/2266 | Hostname | OS / Arch | INSTALL | BUILD | CHECK | BUILD BIN | ||||||||
ExperimentSubset 1.12.0 (landing page) Irzam Sarfraz
| kjohnson1 | macOS 13.6.1 Ventura / arm64 | OK | OK | ERROR | OK | ||||||||
To the developers/maintainers of the ExperimentSubset package: - Use the following Renviron settings to reproduce errors and warnings. - If 'R CMD check' started to fail recently on the Linux builder(s) over a missing dependency, add the missing dependency to 'Suggests:' in your DESCRIPTION file. See Renviron.bioc for more information. |
Package: ExperimentSubset |
Version: 1.12.0 |
Command: /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:ExperimentSubset.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings ExperimentSubset_1.12.0.tar.gz |
StartedAt: 2024-04-17 13:26:53 -0400 (Wed, 17 Apr 2024) |
EndedAt: 2024-04-17 13:32:15 -0400 (Wed, 17 Apr 2024) |
EllapsedTime: 322.4 seconds |
RetCode: 1 |
Status: ERROR |
CheckDir: ExperimentSubset.Rcheck |
Warnings: NA |
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD check --install=check:ExperimentSubset.install-out.txt --library=/Library/Frameworks/R.framework/Resources/library --no-vignettes --timings ExperimentSubset_1.12.0.tar.gz ### ############################################################################## ############################################################################## * using log directory ‘/Users/biocbuild/bbs-3.18-bioc-mac-arm64/meat/ExperimentSubset.Rcheck’ * using R version 4.3.3 (2024-02-29) * using platform: aarch64-apple-darwin20 (64-bit) * R was compiled by Apple clang version 14.0.0 (clang-1400.0.29.202) GNU Fortran (GCC) 12.2.0 * running under: macOS Ventura 13.6.1 * using session charset: UTF-8 * using option ‘--no-vignettes’ * checking for file ‘ExperimentSubset/DESCRIPTION’ ... OK * checking extension type ... Package * this is package ‘ExperimentSubset’ version ‘1.12.0’ * package encoding: UTF-8 * 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 ‘ExperimentSubset’ can be installed ... OK * checking installed package size ... OK * checking package directory ... OK * checking ‘build’ directory ... OK * checking DESCRIPTION meta-information ... OK * 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 ... OK * 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 files in ‘vignettes’ ... OK * checking examples ... ERROR Running examples in ‘ExperimentSubset-Ex.R’ failed The error most likely occurred in: > base::assign(".ptime", proc.time(), pos = "CheckExEnv") > ### Name: reducedDimNames<- > ### Title: reducedDimNames<- > ### Aliases: reducedDimNames<- reducedDimNames<-,ANY-method > > ### ** Examples > > data(sce_chcl, package = "scds") > es <- ExperimentSubset(sce_chcl) > es <- createSubset(es, "subset1", + rows = c(1:1500), cols = c(1:1500), + parentAssay = "counts") > reducedDims(es, subsetName = "subset1") <- list( + PCA_1 = scater::calculatePCA(assay(es, "subset1")), + PCA_2 = scater::calculatePCA(assay(es, "subset1"))) Error in (function (A, nv = 5, nu = nv, maxit = 1000, work = nv + 7, reorth = TRUE, : function 'as_cholmod_sparse' not provided by package 'Matrix' Calls: <Anonymous> ... runSVD -> do.call -> <Anonymous> -> do.call -> <Anonymous> Execution halted * 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: 4. ├─BiocSingular::runPCA(...) 5. └─BiocSingular::runPCA(...) 6. └─BiocSingular (local) .local(x, ...) 7. ├─BiocSingular::runSVD(...) 8. └─BiocSingular::runSVD(...) 9. ├─BiocSingular::runSVD(...) 10. └─BiocSingular::runSVD(...) 11. ├─base::do.call(...) 12. └─BiocSingular (local) `<fn>`(...) 13. ├─base::do.call(...) 14. └─irlba (local) `<fn>`(...) [ FAIL 1 | WARN 0 | SKIP 0 | PASS 118 ] Error: Test failures Execution halted * 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 See ‘/Users/biocbuild/bbs-3.18-bioc-mac-arm64/meat/ExperimentSubset.Rcheck/00check.log’ for details.
ExperimentSubset.Rcheck/00install.out
############################################################################## ############################################################################## ### ### Running command: ### ### /Library/Frameworks/R.framework/Resources/bin/R CMD INSTALL ExperimentSubset ### ############################################################################## ############################################################################## * installing to library ‘/Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/library’ * installing *source* package ‘ExperimentSubset’ ... ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Warning in makePrototypeFromClassDef(properties, ClassDef, immediate, where) : in constructing the prototype for class “SubsetSummarizedExperiment”, slots in prototype and not in class: listData, elementType Warning in makePrototypeFromClassDef(properties, ClassDef, immediate, where) : in constructing the prototype for class “SubsetRangedSummarizedExperiment”, slots in prototype and not in class: listData, elementType Warning in makePrototypeFromClassDef(properties, ClassDef, immediate, where) : in constructing the prototype for class “SubsetSingleCellExperiment”, slots in prototype and not in class: listData, elementType Warning in makePrototypeFromClassDef(properties, ClassDef, immediate, where) : in constructing the prototype for class “SubsetTreeSummarizedExperiment”, slots in prototype and not in class: listData, elementType Warning in makePrototypeFromClassDef(properties, ClassDef, immediate, where) : in constructing the prototype for class “SubsetSpatialExperiment”, slots in prototype and not in class: listData, elementType ** 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 (ExperimentSubset)
ExperimentSubset.Rcheck/tests/testthat.Rout.fail
R version 4.3.3 (2024-02-29) -- "Angel Food Cake" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: aarch64-apple-darwin20 (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) > library(ExperimentSubset) Loading required package: SummarizedExperiment Loading required package: MatrixGenerics Loading required package: matrixStats Attaching package: 'MatrixGenerics' The following objects are masked from 'package:matrixStats': colAlls, colAnyNAs, colAnys, colAvgsPerRowSet, colCollapse, colCounts, colCummaxs, colCummins, colCumprods, colCumsums, colDiffs, colIQRDiffs, colIQRs, colLogSumExps, colMadDiffs, colMads, colMaxs, colMeans2, colMedians, colMins, colOrderStats, colProds, colQuantiles, colRanges, colRanks, colSdDiffs, colSds, colSums2, colTabulates, colVarDiffs, colVars, colWeightedMads, colWeightedMeans, colWeightedMedians, colWeightedSds, colWeightedVars, rowAlls, rowAnyNAs, rowAnys, rowAvgsPerColSet, rowCollapse, rowCounts, rowCummaxs, rowCummins, rowCumprods, rowCumsums, rowDiffs, rowIQRDiffs, rowIQRs, rowLogSumExps, rowMadDiffs, rowMads, rowMaxs, rowMeans2, rowMedians, rowMins, rowOrderStats, rowProds, rowQuantiles, rowRanges, rowRanks, rowSdDiffs, rowSds, rowSums2, rowTabulates, rowVarDiffs, rowVars, rowWeightedMads, rowWeightedMeans, rowWeightedMedians, rowWeightedSds, rowWeightedVars Loading required package: GenomicRanges Loading required package: stats4 Loading required package: BiocGenerics Attaching package: 'BiocGenerics' The following objects are masked from 'package:stats': IQR, mad, sd, var, xtabs The following objects are masked from 'package:base': Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append, as.data.frame, basename, cbind, colnames, dirname, do.call, duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted, lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table, tapply, union, unique, unsplit, which.max, which.min Loading required package: S4Vectors Attaching package: 'S4Vectors' The following object is masked from 'package:utils': findMatches The following objects are masked from 'package:base': I, expand.grid, unname Loading required package: IRanges Loading required package: GenomeInfoDb Loading required package: Biobase Welcome to Bioconductor Vignettes contain introductory material; view with 'browseVignettes()'. To cite Bioconductor, see 'citation("Biobase")', and for packages 'citation("pkgname")'. Attaching package: 'Biobase' The following object is masked from 'package:MatrixGenerics': rowMedians The following objects are masked from 'package:matrixStats': anyMissing, rowMedians Loading required package: SingleCellExperiment Loading required package: SpatialExperiment Loading required package: TreeSummarizedExperiment Loading required package: Biostrings Loading required package: XVector Attaching package: 'Biostrings' The following object is masked from 'package:base': strsplit Attaching package: 'ExperimentSubset' The following objects are masked from 'package:SingleCellExperiment': reducedDimNames, reducedDimNames<-, reducedDims<- > > test_check("ExperimentSubset") class: SubsetSummarizedExperiment dim: 2000 2000 metadata(0): assays(2): counts logcounts rownames(2000): C12orf73 RNU6-1256P ... FOXF1 PRR3 rowData names(0): colnames(2000): CTGCTGTCAGGGTATG CAGTCCTTCGGTTAAC ... GATGCTATCAGCAACT ATTTCTGGTGATGATA colData names(0): subsets(1): s1 subsetAssays(1): s1Main assay(s): counts logcounts assay2 Subset(s): Name Dim Parent Assays 1 s1 10, 2000 counts newS1 Main assay(s): counts Subset(s): NULL class: SubsetRangedSummarizedExperiment dim: 63677 8 metadata(1): '' assays(1): counts rownames(63677): ENSG00000000003 ENSG00000000005 ... ENSG00000273492 ENSG00000273493 rowData names(10): gene_id gene_name ... seq_coord_system symbol colnames(8): SRR1039508 SRR1039509 ... SRR1039520 SRR1039521 colData names(9): SampleName cell ... Sample BioSample subsets(1): s2 subsetAssays(1): s2Main assay(s): counts assay2 Subset(s): Name Dim Parent Assays 1 s2 15, 8 counts newS2 Main assay(s): counts logcounts Subset(s): Name Dim Parent Assays 1 subset1 10, 10 counts scaledSubset1 class: SubsetSingleCellExperiment dim: 2000 2000 metadata(0): assays(2): counts logcounts rownames(2000): C12orf73 RNU6-1256P ... FOXF1 PRR3 rowData names(1): gene colnames(2000): CTGCTGTCAGGGTATG CAGTCCTTCGGTTAAC ... GATGCTATCAGCAACT ATTTCTGGTGATGATA colData names(11): nGene nUMI ... ident doublet_true_labels reducedDimNames(0): mainExpName: NULL altExpNames(0): subsets(1): subset1 subsetAssays(2): subset1 scaledSubset1[ FAIL 1 | WARN 0 | SKIP 0 | PASS 118 ] ══ Failed tests ════════════════════════════════════════════════════════════════ ── Error ('test-ExperimentSubset.R:265:3'): Testing reducedDims ──────────────── Error in `(function (A, nv = 5, nu = nv, maxit = 1000, work = nv + 7, reorth = TRUE, tol = 1e-05, v = NULL, right_only = FALSE, verbose = FALSE, scale = NULL, center = NULL, shift = NULL, mult = NULL, fastpath = TRUE, svtol = tol, smallest = FALSE, ...) { ropts <- options(warn = 1) mflag <- new.env() mflag$flag <- FALSE on.exit(options(ropts)) interchange <- FALSE eps <- .Machine$double.eps mcall <- as.list(match.call()) random <- eval(mcall[["rng"]]) if (is.null(random)) random <- rnorm maxritz <- eval(mcall[["maxritz"]]) if (is.null(maxritz)) maxritz <- 3 eps2 <- eval(mcall[["invariant_subspace_tolerance"]]) if (is.null(eps2)) eps2 <- eps^(4/5) du <- eval(mcall[["du"]]) dv <- eval(mcall[["dv"]]) ds <- eval(mcall[["ds"]]) deflate <- is.null(du) + is.null(ds) + is.null(dv) if (is.logical(scale) && !scale) scale <- NULL if (is.logical(shift) && !shift) shift <- NULL if (is.logical(center) && !center) center <- NULL if (smallest) fastpath <- FALSE if (any(dim(A) > 2^32 - 1)) fastpath <- FALSE if (deflate == 3) { deflate <- FALSE } else if (deflate == 0) { deflate <- TRUE warning("The deflation options have been deprecated. Please modify your code to not use them.") if (length(ds) > 1) stop("deflation limited to one dimension") if (!is.null(dim(du))) du <- du[, 1] if (!is.null(dim(dv))) dv <- dv[, 1] } else stop("all three du ds dv parameters must be specified for deflation") if (!is.null(center)) { if (is.logical(center) && center) center <- colMeans(A) if (deflate) stop("the center parameter can't be specified together with deflation parameters") if (length(center) != ncol(A)) stop("center must be a vector of length ncol(A)") if (fastpath && !right_only) du <- NULL else du <- 1 ds <- 1 dv <- center deflate <- TRUE } if ("integer" == typeof(A)) A <- A + 0 iscomplex <- is.complex(A) m <- nrow(A) n <- ncol(A) if (is.null(nu)) nu <- nv if (!is.null(mult) && deflate) stop("the mult parameter can't be specified together with deflation parameters") missingmult <- FALSE if (is.null(mult)) { missingmult <- TRUE mult <- `%*%` } k <- max(nu, nv) if (k <= 0) stop("max(nu, nv) must be positive") if (k > min(m - 1, n - 1)) stop("max(nu, nv) must be strictly less than min(nrow(A), ncol(A))") if (k >= 0.5 * min(m, n)) { warning("You're computing too large a percentage of total singular values, use a standard svd instead.") } if (work <= 1) stop("work must be greater than 1") if (tol < 0) stop("tol must be non-negative") if (maxit <= 0) stop("maxit must be positive") if (work <= k && !right_only) work <- k + 1 if (work >= min(n, m)) { work <- min(n, m) if (work <= k) { k <- work - 1 warning("Requested subspace dimension too large! Reduced to ", k) } } k_org <- k w_dim <- work if (right_only) { w_dim <- 1 fastpath <- FALSE } if (n > m && smallest) { interchange <- TRUE temp <- m m <- n n <- temp } if (verbose) { message("Working dimension size ", work) } if (min(m, n) < 6) { A <- as.matrix(A) if (verbose) message("Tiny problem detected, using standard `svd` function.") if (!is.null(scale)) { A <- sweep(A, 2, scale, "/") dv <- dv/scale } if (!is.null(shift)) A <- A + diag(shift, nrow(A), ncol(A)) if (deflate) { if (is.null(du)) du <- rep(1, nrow(A)) A <- A - (ds * du) %*% t(dv) } s <- svd(A) if (smallest) { return(list(d = tail(s$d, k), u = s$u[, tail(seq(ncol(s$u)), k), drop = FALSE], v = s$v[, tail(seq(ncol(s$v), k)), drop = FALSE], iter = 0, mprod = 0)) } return(list(d = s$d[1:k], u = s$u[, 1:nu, drop = FALSE], v = s$v[, 1:nv, drop = FALSE], iter = 0, mprod = 0)) } if (deflate) fastpath <- fastpath && is.null(du) fastpath <- fastpath && (("Matrix" %in% attributes(class(A)) && ("dgCMatrix" %in% class(A))) || "matrix" %in% class(A)) if (fastpath && missingmult && !iscomplex && !right_only) { RESTART <- 0L RV <- RW <- RS <- NULL if (is.null(v)) { v <- random(n) if (verbose) message("Initializing starting vector v with samples from standard normal distribution.\nUse `set.seed` first for reproducibility.") } else if (is.list(v)) { if (is.null(v$v) || is.null(v$d) || is.null(v$u)) stop("restart requires left and right singular vectors") if (max(nu, nv) <= min(ncol(v$u), ncol(v$v))) return(v) RESTART <- as.integer(length(v$d)) RND <- random(n) RND <- orthog(RND, v$v) RV <- cbind(v$v, RND/norm2(RND)) RW <- v$u RS <- v$d v <- NULL } SP <- ifelse(is.matrix(A), 0L, 1L) if (verbose) message("irlba: using fast C implementation") SCALE <- NULL SHIFT <- NULL CENTER <- NULL if (!is.null(scale)) { if (length(scale) != ncol(A)) stop("scale length must match number of matrix columns") SCALE <- as.double(scale) } if (!is.null(shift)) { if (length(shift) != 1) stop("shift length must be 1") SHIFT <- as.double(shift) } if (deflate) { if (length(center) != ncol(A)) stop("the centering vector length must match the number of matrix columns") CENTER <- as.double(center) } ans <- .Call(C_IRLB, A, as.integer(k), as.double(v), as.integer(work), as.integer(maxit), as.double(tol), as.double(eps2), as.integer(SP), as.integer(RESTART), RV, RW, RS, SCALE, SHIFT, CENTER, as.double(svtol)) if (ans[[6]] == 0 || ans[[6]] == -2) { names(ans) <- c("d", "u", "v", "iter", "mprod", "err") ans$u <- matrix(head(ans$u, m * nu), nrow = m, ncol = nu) ans$v <- matrix(head(ans$v, n * nv), nrow = n, ncol = nv) if (tol * ans$d[1] < eps) warning("convergence criterion below machine epsilon") if (ans[[6]] == -2) warning("did not converge--results might be invalid!; try increasing work or maxit") return(ans[-6]) } errors <- c("invalid dimensions", "didn't converge", "out of memory", "starting vector near the null space", "linear dependency encountered") erridx <- abs(ans[[6]]) if (erridx > 1) warning("fast code path error ", errors[erridx], "; re-trying with fastpath=FALSE.", immediate. = TRUE) } W <- matrix(0, m, w_dim) F <- matrix(0, n, 1) restart <- FALSE if (is.list(v)) { if (is.null(v$v) || is.null(v$d) || is.null(v$u)) stop("restart requires left and right singular vectors") if (max(nu, nv) <= min(ncol(v$u), ncol(v$v))) return(v) right_only <- FALSE W[, 1:ncol(v$u)] <- v$u d <- v$d V <- matrix(0, n, work) V[, 1:ncol(v$v)] <- v$v restart <- TRUE } else if (is.null(v)) { V <- matrix(0, n, work) V[, 1] <- random(n) } else { V <- matrix(0, n, work) V[1:length(v)] <- v } B <- NULL Bsz <- NULL eps23 <- eps^(2/3) iter <- 1 mprod <- 0 R_F <- NULL sqrteps <- sqrt(eps) Smax <- 1 Smin <- NULL lastsv <- c() if (restart) { B <- cbind(diag(d), 0) k <- length(d) F <- random(n) F <- orthog(F, V[, 1:k]) V[, k + 1] <- F/norm2(F) } if (deflate && is.null(du)) du <- 1 while (iter <= maxit) { j <- 1 if (iter == 1 && !restart) { V[, 1] <- V[, 1]/norm2(V[, 1]) } else j <- k + 1 j_w <- ifelse(w_dim > 1, j, 1) VJ <- V[, j] if (!is.null(scale)) { VJ <- VJ/scale } if (interchange) avj <- mult(VJ, A) else avj <- mult(A, VJ) W[, j_w] <- as.vector(avj) mprod <- mprod + 1 if (!is.null(shift)) { W[, j_w] <- W[, j_w] + shift * VJ } if (deflate) { W[, j_w] <- W[, j_w] - ds * drop(cross(dv, VJ)) * du } if (iter != 1 && w_dim > 1 && reorth) { W[, j] <- orthog(W[, j, drop = FALSE], W[, 1:(j - 1), drop = FALSE]) } S <- norm2(W[, j_w, drop = FALSE]) if (is.na(S) || S < eps2 && j == 1) stop("starting vector near the null space") if (is.na(S) || S < eps2) { if (verbose) message_once("invariant subspace found", flag = mflag) W[, j_w] <- random(nrow(W)) if (w_dim > 1) W[, j] <- orthog(W[, j], W[, 1:(j - 1)]) W[, j_w] <- W[, j_w]/norm2(W[, j_w]) S <- 0 } else W[, j_w] <- W[, j_w]/S while (j <= work) { j_w <- ifelse(w_dim > 1, j, 1) if (iscomplex) { if (interchange) F <- Conj(t(drop(mult(A, Conj(drop(W[, j_w])))))) else F <- Conj(t(drop(mult(Conj(drop(W[, j_w])), A)))) } else { if (interchange) F <- t(drop(mult(A, drop(W[, j_w])))) else F <- t(drop(mult(drop(W[, j_w]), A))) } if (!is.null(shift)) F <- F + shift * W[, j_w] if (!is.null(scale)) F <- F/scale if (deflate) { sub <- sum(W[, j_w]) * dv if (!is.null(scale)) sub <- sub/scale F <- F - sub } mprod <- mprod + 1 F <- drop(F - S * V[, j]) F <- orthog(F, V[, 1:j, drop = FALSE]) if (j + 1 <= work) { R <- norm2(F) if (R < eps2) { if (verbose) message_once("invariant subspace found", flag = mflag) F <- matrix(random(dim(V)[1]), dim(V)[1], 1) F <- orthog(F, V[, 1:j, drop = FALSE]) V[, j + 1] <- F/norm2(F) R <- 0 } else V[, j + 1] <- F/R if (is.null(B)) B <- cbind(S, R) else B <- rbind(cbind(B, 0), c(rep(0, ncol(B) - 1), S, R)) jp1_w <- ifelse(w_dim > 1, j + 1, 1) w_old <- W[, j_w] VJP1 <- V[, j + 1] if (!is.null(scale)) { VJP1 <- VJP1/scale } if (interchange) W[, jp1_w] <- drop(mult(drop(VJP1), A)) else W[, jp1_w] <- drop(mult(A, drop(VJP1))) mprod <- mprod + 1 if (!is.null(shift)) { W[, jp1_w] <- W[, jp1_w] + shift * VJP1 } if (deflate) { W[, jp1_w] <- W[, jp1_w] - ds * drop(cross(dv, VJP1)) * du } W[, jp1_w] <- W[, jp1_w] - R * w_old if (reorth && w_dim > 1) W[, j + 1] <- orthog(W[, j + 1], W[, 1:j]) S <- norm2(W[, jp1_w]) if (S < eps2) { if (verbose) message_once("invariant subspace found", flag = mflag) W[, jp1_w] <- random(nrow(W)) if (w_dim > 1) W[, j + 1] <- orthog(W[, j + 1], W[, 1:j]) W[, jp1_w] <- W[, jp1_w]/norm2(W[, jp1_w]) S <- 0 } else W[, jp1_w] <- W[, jp1_w]/S } else { B <- rbind(B, c(rep(0, j - 1), S)) } j <- j + 1 } Bsz <- nrow(B) R_F <- norm2(F) F <- F/R_F Bsvd <- svd(B) if (iter == 1) { Smax <- Bsvd$d[1] Smin <- Bsvd$d[Bsz] } else { Smax <- max(Smax, Bsvd$d[1]) Smin <- min(Smin, Bsvd$d[Bsz]) } Smax <- max(eps23, Smax) if (!reorth && Smin/Smax < sqrteps) { warning("The matrix is ill-conditioned. Basis will be reorthogonalized.") reorth <- TRUE } if (smallest) { jj <- seq(ncol(Bsvd$u), 1, by = -1) Bsvd$u <- Bsvd$u[, jj] Bsvd$d <- Bsvd$d[jj] Bsvd$v <- Bsvd$v[, jj] } R <- R_F * Bsvd$u[Bsz, , drop = FALSE] ct <- convtests(Bsz, tol, k_org, Bsvd, abs(R), k, Smax, lastsv, svtol, maxritz, work, S) if (verbose) { message("iter= ", iter, ", mprod= ", mprod, ", sv[", k_org, "]=", sprintf("%.2e", Bsvd$d[k_org]), ", %change=", sprintf("%.2e", (Bsvd$d[k_org] - lastsv[k_org])/Bsvd$d[k_org]), ", k=", ct$k) } lastsv <- Bsvd$d k <- ct$k if (ct$converged) break if (iter >= maxit) break if (smallest && (Smin/Smax > sqrteps)) { Bsvd2.d <- Bsvd$d Bsvd2.d <- diag(Bsvd2.d, nrow = length(Bsvd2.d)) Bsvd2 <- svd(cbind(Bsvd2.d, t(R))) jj <- seq(ncol(Bsvd2$u), 1, by = -1) Bsvd2$u <- Bsvd2$u[, jj] Bsvd2$d <- Bsvd2$d[jj] Bsvd2$v <- Bsvd2$v[, jj] Bsvd$d <- Bsvd2$d Bsvd$u <- Bsvd$u %*% Bsvd2$u Bsvd$v <- cbind(rbind(Bsvd$v, rep(0, Bsz)), c(rep(0, Bsz), 1)) %*% Bsvd2$v V_B_last <- Bsvd$v[Bsz + 1, 1:k] s <- R_F * solve(B, cbind(c(rep(0, Bsz - 1), 1))) Bsvd$v <- Bsvd$v[1:Bsz, , drop = FALSE] + s %*% Bsvd$v[Bsz + 1, ] qrv <- qr(cbind(rbind(Bsvd$v[, 1:k], 0), rbind(-s, 1))) Bsvd$v <- qr.Q(qrv) R <- qr.R(qrv) V[, 1:(k + 1)] <- cbind(V, F) %*% Bsvd$v UT <- t(R[1:(k + 1), 1:k] + R[, k + 1] %*% rbind(V_B_last)) B <- diag(Bsvd$d[1:k], nrow = k) %*% (UT * upper.tri(UT, diag = TRUE))[1:k, 1:(k + 1)] } else { V[, 1:(k + dim(F)[2])] <- cbind(V[, 1:(dim(Bsvd$v)[1]), drop = FALSE] %*% Bsvd$v[, 1:k], F) B <- cbind(diag(Bsvd$d[1:k], nrow = k), R[1:k]) } if (w_dim > 1) { W[, 1:k] <- W[, 1:(dim(Bsvd$u)[1]), drop = FALSE] %*% Bsvd$u[, 1:k] } iter <- iter + 1 } if (!ct$converged) warning("did not converge--results might be invalid!; try increasing maxit or work") d <- Bsvd$d[1:k_org] if (!right_only) { u <- W[, 1:(dim(Bsvd$u)[1]), drop = FALSE] %*% Bsvd$u[, 1:k_org, drop = FALSE] } v <- V[, 1:(dim(Bsvd$v)[1]), drop = FALSE] %*% Bsvd$v[, 1:k_org, drop = FALSE] if (smallest) { reverse <- seq(length(d), 1) d <- d[reverse] if (!right_only) u <- u[, reverse] v <- v[, reverse] } if (tol * d[1] < eps) warning("convergence criterion below machine epsilon") if (right_only) return(list(d = d, v = v[, 1:nv, drop = FALSE], iter = iter, mprod = mprod)) return(list(d = d, u = u[, 1:nu, drop = FALSE], v = v[, 1:nv, drop = FALSE], iter = iter, mprod = mprod)) })(work = 57, nu = 50, nv = 50, A = new("dgCMatrix", i = c(0L, 1L, 2L, 3L, 4L, 8L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 22L, 23L, 25L, 26L, 27L, 28L, 29L, 30L, 32L, 33L, 34L, 35L, 36L, 37L, 38L, 39L, 40L, 41L, 42L, 44L, 45L, 46L, 47L, 48L, 49L, 50L, 52L, 55L, 56L, 57L, 58L, 59L, 60L, 62L, 64L, 66L, 67L, 68L, 69L, 71L, 72L, 73L, 74L, 75L, 76L, 78L, 79L, 80L, 81L, 82L, 83L, 84L, 85L, 86L, 87L, 88L, 89L, 90L, 91L, 96L, 97L, 98L, 99L, 100L, 101L, 102L, 103L, 105L, 106L, 107L, 108L, 109L, 111L, 112L, 113L, 114L, 116L, 117L, 119L, 120L, 121L, 122L, 124L, 126L, 128L, 129L, 130L, 131L, 132L, 134L, 136L, 138L, 139L, 140L, 141L, 143L, 144L, 146L, 147L, 148L, 149L, 151L, 153L, 154L, 155L, 157L, 158L, 159L, 160L, 161L, 162L, 163L, 164L, 165L, 166L, 167L, 168L, 169L, 170L, 171L, 172L, 174L, 176L, 177L, 178L, 180L, 181L, 183L, 184L, 185L, 186L, 187L, 188L, 189L, 190L, 191L, 192L, 193L, 194L, 195L, 196L, 197L, 198L, 199L, 200L, 201L, 202L, 204L, 205L, 206L, 208L, 209L, 210L, 211L, 212L, 213L, 214L, 215L, 216L, 217L, 218L, 220L, 221L, 222L, 223L, 224L, 225L, 226L, 227L, 228L, 229L, 230L, 231L, 232L, 233L, 234L, 235L, 236L, 239L, 240L, 241L, 242L, 243L, 244L, 245L, 246L, 247L, 250L, 251L, 252L, 253L, 254L, 255L, 258L, 259L, 261L, 262L, 265L, 267L, 269L, 270L, 271L, 272L, 273L, 274L, 275L, 276L, 279L, 281L, 282L, 283L, 285L, 286L, 287L, 289L, 290L, 291L, 294L, 298L, 299L, 300L, 301L, 302L, 303L, 305L, 306L, 307L, 310L, 311L, 312L, 313L, 315L, 316L, 317L, 319L, 320L, 321L, 322L, 325L, 326L, 327L, 328L, 330L, 333L, 334L, 335L, 336L, 338L, 340L, 341L, 342L, 344L, 345L, 346L, 347L, 348L, 349L, 351L, 353L, 355L, 357L, 358L, 359L, 360L, 363L, 365L, 366L, 367L, 368L, 369L, 370L, 372L, 374L, 376L, 378L, 380L, 381L, 382L, 383L, 384L, 385L, 388L, 389L, 390L, 391L, 392L, 393L, 395L, 396L, 398L, 399L, 400L, 402L, 408L, 409L, 410L, 411L, 412L, 413L, 414L, 415L, 416L, 417L, 418L, 419L, 422L, 423L, 426L, 428L, 429L, 430L, 431L, 432L, 434L, 435L, 437L, 438L, 439L, 440L, 442L, 443L, 444L, 445L, 446L, 447L, 448L, 449L, 450L, 451L, 452L, 455L, 457L, 458L, 459L, 461L, 462L, 464L, 465L, 466L, 467L, 468L, 469L, 470L, 471L, 472L, 473L, 474L, 476L, 477L, 478L, 479L, 480L, 481L, 483L, 484L, 485L, 486L, 487L, 488L, 490L, 491L, 492L, 493L, 494L, 496L, 497L, 498L, 499L, 500L, 501L, 503L, 506L, 507L, 508L, 509L, 510L, 511L, 514L, 515L, 516L, 517L, 519L, 520L, 521L, 524L, 525L, 529L, 530L, 531L, 535L, 536L, 537L, 539L, 541L, 542L, 543L, 544L, 545L, 547L, 548L, 549L, 552L, 555L, 557L, 558L, 559L, 561L, 562L, 565L, 567L, 568L, 569L, 571L, 572L, 575L, 577L, 578L, 579L, 580L, 581L, 582L, 584L, 585L, 586L, 587L, 588L, 590L, 591L, 592L, 594L, 595L, 596L, 597L, 598L, 599L, 601L, 602L, 604L, 605L, 606L, 608L, 610L, 611L, 612L, 613L, 614L, 615L, 616L, 617L, 619L, 620L, 621L, 622L, 623L, 625L, 627L, 628L, 629L, 630L, 631L, 632L, 633L, 634L, 636L, 637L, 638L, 639L, 640L, 641L, 642L, 643L, 644L, 645L, 647L, 648L, 649L, 651L, 652L, 653L, 654L, 657L, 658L, 659L, 661L, 662L, 665L, 666L, 667L, 668L, 669L, 672L, 673L, 674L, 675L, 676L, 677L, 678L, 679L, 681L, 682L, 683L, 685L, 686L, 687L, 688L, 689L, 691L, 692L, 694L, 695L, 696L, 697L, 698L, 699L, 700L, 701L, 702L, 703L, 704L, 705L, 707L, 708L, 709L, 711L, 712L, 715L, 716L, 717L, 720L, 721L, 722L, 723L, 724L, 725L, 729L, 731L, 732L, 733L, 734L, 735L, 736L, 737L, 738L, 739L, 740L, 741L, 742L, 743L, 745L, 746L, 747L, 748L, 750L, 751L, 752L, 754L, 755L, 756L, 757L, 759L, 760L, 761L, 762L, 763L, 765L, 766L, 767L, 768L, 770L, 771L, 772L, 775L, 777L, 778L, 779L, 780L, 781L, 782L, 783L, 785L, 787L, 788L, 789L, 790L, 792L, 794L, 795L, 796L, 797L, 798L, 799L, 800L, 801L, 802L, 803L, 804L, 805L, 809L, 810L, 811L, 812L, 814L, 817L, 818L, 819L, 820L, 821L, 823L, 824L, 825L, 826L, 827L, 828L, 829L, 831L, 832L, 833L, 835L, 836L, 840L, 841L, 842L, 843L, 844L, 845L, 847L, 849L, 850L, 851L, 852L, 853L, 855L, 857L, 858L, 859L, 860L, 861L, 862L, 863L, 864L, 865L, 867L, 868L, 870L, 871L, 873L, 874L, 875L, 880L, 881L, 882L, 883L, 884L, 886L, 888L, 891L, 892L, 893L, 894L, 895L, 896L, 897L, 898L, 901L, 902L, 903L, 904L, 905L, 907L, 908L, 909L, 910L, 911L, 912L, 913L, 915L, 916L, 917L, 918L, 919L, 920L, 921L, 922L, 923L, 924L, 925L, 926L, 927L, 928L, 931L, 932L, 933L, 934L, 935L, 936L, 937L, 940L, 941L, 944L, 945L, 946L, 947L, 948L, 950L, 951L, 952L, 953L, 954L, 956L, 957L, 958L, 959L, 962L, 963L, 965L, 966L, 967L, 968L, 969L, 971L, 972L, 974L, 976L, 980L, 981L, 983L, 984L, 985L, 986L, 987L, 989L, 990L, 991L, 992L, 993L, 995L, 997L, 999L, 1000L, 1002L, 1003L, 1004L, 1005L, 1007L, 1008L, 1009L, 1010L, 1011L, 1012L, 1013L, 1014L, 1015L, 1017L, 1018L, 1019L, 1021L, 1023L, 1024L, 1025L, 1026L, 1028L, 1029L, 1030L, 1032L, 1034L, 1035L, 1037L, 1038L, 1039L, 1040L, 1041L, 1042L, 1044L, 1045L, 1046L, 1047L, 1049L, 1050L, 1051L, 1052L, 1053L, 1054L, 1055L, 1056L, 1057L, 1058L, 1060L, 1061L, 1063L, 1064L, 1066L, 1067L, 1070L, 1072L, 1073L, 1076L, 1078L, 1079L, 1080L, 1081L, 1082L, 1083L, 1084L, 1086L, 1087L, 1089L, 1090L, 1091L, 1092L, 1094L, 1095L, 1096L, 1097L, 1099L, 1100L, 1101L, 1103L, 1105L, 1106L, 1108L, 1109L, 1110L, 1111L, 1113L, 1114L, 1115L, 1118L, 1119L, 1120L, 1121L, 1122L, 1125L, 1128L, 1129L, 1130L, 1131L, 1132L, 1133L, 1134L, 1135L, 1136L, 1137L, 1138L, 1140L, 1141L, 1143L, 1146L, 1147L, 1148L, 1150L, 1151L, 1152L, 1153L, 1154L, 1159L, 1160L, 1161L, 1162L, 1163L, 1164L, 1165L, 1166L, 1167L, 1168L, 1169L, 1170L, 1171L, 1173L, 1176L, 1177L, 1178L, 1180L, 1181L, 1182L, 1183L, 1184L, 1186L, 1189L, 1191L, 1193L, 1194L, 1196L, 1197L, 1198L, 1199L, 1201L, 1203L, 1205L, 1206L, 1207L, 1208L, 1209L, 1210L, 1213L, 1214L, 1215L, 1218L, 1219L, 1222L, 1223L, 1226L, 1227L, 1229L, 1230L, 1233L, 1234L, 1235L, 1237L, 1239L, 1240L, 1241L, 1243L, 1244L, 1245L, 1246L, 1247L, 1249L, 1252L, 1254L, 1255L, 1257L, 1258L, 1259L, 1260L, 1261L, 1262L, 1263L, 1264L, 1266L, 1267L, 1268L, 1270L, 1271L, 1272L, 1275L, 1281L, 1283L, 1284L, 1285L, 1286L, 1287L, 1288L, 1289L, 1291L, 1292L, 1293L, 1297L, 1298L, 1299L, 1300L, 1301L, 1302L, 1303L, 1305L, 1307L, 1308L, 1309L, 1310L, 1312L, 1313L, 1314L, 1315L, 1316L, 1318L, 1319L, 1320L, 1322L, 1323L, 1324L, 1325L, 1326L, 1328L, 1329L, 1331L, 1333L, 1335L, 1336L, 1337L, 1338L, 1339L, 1341L, 1343L, 1344L, 1346L, 1349L, 1350L, 1351L, 1352L, 1354L, 1355L, 1356L, 1357L, 1358L, 1359L, 1360L, 1361L, 1362L, 1364L, 1365L, 1366L, 1367L, 1369L, 1370L, 1371L, 1372L, 1373L, 1374L, 1377L, 1378L, 1379L, 1381L, 1382L, 1383L, 1384L, 1385L, 1386L, 1388L, 1389L, 1390L, 1391L, 1392L, 1393L, 1394L, 1396L, 1398L, 1399L, 1400L, 1401L, 1403L, 1404L, 1407L, 1408L, 1409L, 1410L, 1411L, 1413L, 1416L, 1417L, 1418L, 1419L, 1420L, 1421L, 1422L, 1423L, 1425L, 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321L, 328L, 332L, 334L, 335L, 338L, 339L, 343L, 348L, 354L, 358L, 359L, 360L, 363L, 364L, 367L, 368L, 369L, 372L, 374L, 377L, 378L, 381L, 384L, 398L, 403L, 406L, 408L, 413L, 415L, 417L, 418L, 420L, 423L, 424L, 426L, 429L, 431L, 435L, 436L, 438L, 443L, 452L, 453L, 455L, 457L, 458L, 459L, 466L, 468L, 477L, 485L, 490L, 491L, 494L, 498L, 499L, 500L, 505L, 512L, 513L, 514L, 516L, 530L, 533L, 536L, 539L, 542L, 543L, 545L, 546L, 547L, 548L, 549L, 550L, 551L, 554L, 556L, 563L, 566L, 567L, 571L, 575L, 577L, 582L, 584L, 585L, 586L, 587L, 589L, 590L, 597L, 607L, 610L, 612L, 613L, 615L, 619L, 621L, 622L, 626L, 636L, 637L, 638L, 640L, 642L, 645L, 647L, 649L, 652L, 654L, 660L, 661L, 668L, 674L, 675L, 676L, 686L, 691L, 692L, 698L, 700L, 703L, 716L, 719L, 720L, 726L, 727L, 728L, 731L, 732L, 733L, 734L, 737L, 738L, 743L, 744L, 750L, 756L, 758L, 763L, 766L, 770L, 773L, 774L, 779L, 785L, 789L, 791L, 792L, 794L, 796L, 797L, 798L, 799L, 800L, 806L, 810L, 811L, 813L, 818L, 821L, 824L, 825L, 827L, 832L, 833L, 836L, 845L, 848L, 852L, 853L, 854L, 857L, 860L, 861L, 871L, 875L, 876L, 879L, 881L, 885L, 888L, 889L, 899L, 900L, 901L, 903L, 904L, 905L, 906L, 908L, 910L, 911L, 915L, 916L, 917L, 918L, 921L, 931L, 932L, 933L, 935L, 942L, 944L, 949L, 951L, 952L, 953L, 954L, 956L, 957L, 958L, 960L, 964L, 967L, 968L, 971L, 973L, 979L, 981L, 984L, 985L, 997L, 998L, 999L, 1000L, 1001L, 1002L, 1008L, 1013L, 1019L, 1025L, 1034L, 1039L, 1045L, 1050L, 1054L, 1055L, 1056L, 1058L, 1064L, 1065L, 1066L, 1067L, 1071L, 1079L, 1080L, 1081L, 1084L, 1089L, 1091L, 1092L, 1098L, 1105L, 1114L, 1115L, 1117L, 1125L, 1127L, 1130L, 1131L, 1132L, 1133L, 1134L, 1137L, 1141L, 1144L, 1146L, 1149L, 1153L, 1157L, 1160L, 1162L, 1166L, 1168L, 1182L, 1184L, 1186L, 1193L, 1195L, 1196L, 1197L, 1202L, 1203L, 1205L, 1206L, 1213L, 1214L, 1216L, 1217L, 1220L, 1228L, 1231L, 1235L, 1236L, 1238L, 1243L, 1250L, 1251L, 1252L, 1257L, 1262L, 1267L, 1269L, 1273L, 1275L, 1299L, 1306L, 1309L, 1312L, 1313L, 1319L, 1327L, 1328L, 1339L, 1341L, 1350L, 1355L, 1356L, 1357L, 1360L, 1361L, 1362L, 1368L, 1370L, 1372L, 1375L, 1377L, 1379L, 1380L, 1381L, 1384L, 1390L, 1405L, 1406L, 1414L, 1418L, 1429L, 1434L, 1439L, 1440L, 1441L, 1442L, 1443L, 1446L, 1447L, 1450L, 1452L, 1458L, 1459L, 1468L, 1471L, 1473L, 1484L, 1485L, 1486L, 1494L, 1499L, 1503L, 1504L, 1509L, 1512L, 1516L, 1517L, 1523L, 1525L, 1526L, 1529L, 1532L, 1534L, 1536L, 1540L, 1541L, 1542L, 1546L, 1547L, 1551L, 1553L, 1568L, 1574L, 1575L, 1583L, 1587L, 1592L, 1594L, 1598L, 1599L, 1611L, 1616L, 1618L), p = c(0L, 1214L, 2516L, 3686L, 4934L, 6022L, 6956L, 8518L, 9591L, 10652L, 11781L, 12974L, 13868L, 15382L, 16415L, 17266L, 18150L, 19521L, 21143L, 22202L, 23159L, 24473L, 25178L, 25686L, 27240L, 28044L, 29081L, 29716L, 30981L, 32095L, 33279L, 34418L, 35078L, 36462L, 36969L, 37491L, 38963L, 40186L, 41125L, 41945L, 42581L, 43161L, 44310L, 45312L, 45700L, 47277L, 48874L, 50494L, 51491L, 52089L, 53168L, 54508L, 55268L, 56800L, 57709L, 58307L, 59255L, 60795L, 62173L, 63523L, 64506L, 65296L, 66327L, 67498L, 69052L, 69848L, 70793L, 71251L, 71851L, 72547L, 73320L, 74893L, 76248L, 77176L, 77557L, 78887L, 80213L, 81052L, 81638L, 82755L, 83947L, 84946L, 86372L, 87148L, 88586L, 89772L, 91092L, 91587L, 92724L, 94050L, 94418L, 95546L, 96055L, 97270L, 98484L, 100071L, 101645L, 103070L, 103655L, 104618L, 106089L, 107154L, 108257L, 109114L, 110076L, 110415L, 111595L, 112775L, 113949L, 115571L, 116423L, 117404L, 119001L, 120247L, 121162L, 122633L, 123845L, 124056L, 125520L, 126548L, 127644L, 129062L, 130533L, 131900L, 133248L, 134453L, 136063L, 136621L, 136928L, 138123L, 139214L, 140728L, 142140L, 143280L, 144866L, 145457L, 146758L, 147515L, 148549L, 149845L, 150728L, 152101L, 153191L, 154295L, 155346L, 156536L, 157153L, 158318L, 158824L, 159556L, 160284L, 160846L, 161834L, 163004L, 163659L, 164858L, 166050L, 167230L, 167530L, 168716L, 169939L, 171073L, 171719L, 173218L, 174081L, 175184L, 176034L, 177144L, 178713L, 179949L, 181482L, 181822L, 182621L, 184227L, 185768L, 187011L, 187420L, 188290L, 189869L, 190780L, 191954L, 193446L, 193819L, 194760L, 195579L, 197193L, 198162L, 199307L, 200159L, 201182L, 201820L, 202995L, 204035L, 204996L, 205748L, 206246L, 207336L, 208447L, 209518L, 211093L, 211355L, 212459L, 213273L, 213582L, 214500L, 216074L, 217684L, 218667L, 219388L, 220252L, 220811L, 221757L, 222843L, 223425L, 224500L, 225327L, 226391L, 227445L, 228344L, 229118L, 229867L, 230739L, 231794L, 232723L, 234305L, 235153L, 235924L, 236885L, 237262L, 238062L, 238912L, 239076L, 240096L, 240841L, 241445L, 242168L, 242633L, 243618L, 244355L, 245141L, 246005L, 246864L, 247653L, 248606L, 249470L, 249847L, 250801L, 251723L, 252419L, 253272L, 254096L, 255017L, 255915L, 256591L, 257414L, 258334L, 258929L, 259616L, 260521L, 261180L, 262094L, 262678L, 263183L, 264090L, 264843L, 265727L, 266218L, 267826L, 268766L, 269603L, 270252L, 270893L, 271689L, 272543L, 273087L, 273901L, 274612L, 275517L, 276236L, 276769L, 277185L, 277823L, 278725L, 279200L, 279861L, 280004L, 280650L, 281525L, 282002L, 282872L, 284477L, 285346L, 286113L, 287002L, 288624L, 289271L, 289840L, 291454L, 292042L, 292879L, 294497L, 295029L, 295557L, 297175L, 297817L, 298511L, 299160L, 299938L, 300443L, 302061L, 302632L, 303447L, 304047L, 304193L, 304979L, 305707L, 306254L, 306906L, 307126L, 307649L, 308462L, 309088L, 309864L, 310433L, 310607L, 311367L, 311681L, 312441L, 313198L, 313480L, 314239L, 314993L, 315652L, 316380L, 317134L, 317654L, 318259L, 318728L, 319521L, 320283L, 320700L, 321394L, 322160L, 322780L, 323563L, 324334L, 324902L, 325673L, 326419L, 327083L, 327847L, 328494L, 329042L, 329469L, 330116L, 330816L, 331393L, 333013L, 333755L, 334404L, 336026L, 337648L, 338362L, 339086L, 339715L, 340167L, 340875L, 341633L, 342299L, 342898L, 343648L, 344128L, 344645L, 345363L, 345765L, 346457L, 347056L, 347645L, 348375L, 349061L, 349673L, 350393L, 350814L, 351270L, 351817L, 352352L, 352881L, 353187L, 353863L, 354290L, 354712L, 355372L, 356009L, 356537L, 357191L, 357886L, 358585L, 359229L, 360851L, 362473L, 363134L, 363791L, 364307L, 364819L, 366441L, 368063L, 368416L, 369058L, 369674L, 370322L, 370849L, 371232L, 371857L, 372527L, 373193L, 373696L, 375318L, 375447L, 376125L, 376650L, 377300L, 377921L, 378224L, 378875L, 379275L, 380897L, 381455L, 382109L, 383729L, 384216L, 384701L, 386323L, 386769L, 387298L, 388920L, 389558L, 389978L, 390497L, 391146L, 391669L, 392106L, 392726L, 393159L, 393641L, 394180L, 394814L, 395384L, 397006L, 397586L, 398172L, 399794L, 400267L, 400516L, 400960L, 401380L, 401878L, 402448L, 403028L, 403466L, 404081L, 404678L, 405140L, 405548L, 406113L, 406599L, 407175L, 407469L, 407878L, 408467L, 409013L, 409517L, 410089L, 410656L, 411111L, 411429L, 412000L, 412560L, 413087L, 414709L, 414861L, 415445L, 415971L, 416341L, 416826L, 417299L, 417686L, 418166L, 418732L, 419298L, 419870L, 420432L, 422054L, 423676L, 424026L, 425648L, 426173L, 426696L, 427077L, 427564L, 428059L, 428540L), Dim = c(1622L, 500L), Dimnames = list(NULL, c("ENSG00000090382", "ENSG00000163220", "ENSG00000143546", "ENSG00000204287", "ENSG00000101439", "ENSG00000011600", "ENSG00000019582", "ENSG00000196126", "ENSG00000231389", "ENSG00000223865", "ENSG00000163131", "ENSG00000204482", "ENSG00000196154", "ENSG00000100097", "ENSG00000158869", "ENSG00000204472", "ENSG00000227507", "ENSG00000087086", "ENSG00000008517", "ENSG00000179344", "ENSG00000130066", "ENSG00000085265", "ENSG00000211592", "ENSG00000197956", "ENSG00000196735", "ENSG00000277734", "ENSG00000257764", "ENSG00000245532", "ENSG00000163191", "ENSG00000197746", "ENSG00000233276", "ENSG00000163563", "ENSG00000103187", "ENSG00000163221", "ENSG00000271503", "ENSG00000177606", "ENSG00000122862", "ENSG00000211772", "ENSG00000025708", "ENSG00000121552", "ENSG00000100079", "ENSG00000084207", "ENSG00000167286", "ENSG00000111796", "ENSG00000170345", "ENSG00000171223", "ENSG00000167996", "ENSG00000119655", "ENSG00000211751", "ENSG00000135046", "ENSG00000197747", "ENSG00000168685", "ENSG00000120129", "ENSG00000182287", "ENSG00000105374", "ENSG00000198851", "ENSG00000026025", "ENSG00000111716", "ENSG00000128016", "ENSG00000100906", "ENSG00000030582", "ENSG00000110848", "ENSG00000100300", "ENSG00000051523", "ENSG00000116741", "ENSG00000182718", "ENSG00000038427", "ENSG00000197249", "ENSG00000066336", "ENSG00000076944", "ENSG00000111640", "ENSG00000067082", "ENSG00000115738", "ENSG00000115523", "ENSG00000126264", "ENSG00000160888", "ENSG00000173762", "ENSG00000197766", "ENSG00000145287", "ENSG00000185201", "ENSG00000163931", "ENSG00000143933", "ENSG00000204257", "ENSG00000152518", "ENSG00000196405", "ENSG00000160255", "ENSG00000110077", "ENSG00000121966", "ENSG00000157514", "ENSG00000211677", "ENSG00000104964", "ENSG00000007312", "ENSG00000158710", "ENSG00000213719", "ENSG00000104904", "ENSG00000142669", "ENSG00000109971", "ENSG00000129226", "ENSG00000142546", "ENSG00000111229", "ENSG00000136238", "ENSG00000169230", "ENSG00000182866", "ENSG00000213145", "ENSG00000105369", "ENSG00000125740", "ENSG00000188404", "ENSG00000088832", "ENSG00000075624", "ENSG00000172216", "ENSG00000143110", "ENSG00000163041", "ENSG00000127528", "ENSG00000103490", "ENSG00000130429", "ENSG00000082074", "ENSG00000203747", "ENSG00000133872", "ENSG00000026297", "ENSG00000159388", "ENSG00000156411", "ENSG00000265972", "ENSG00000070831", "ENSG00000130592", "ENSG00000185862", "ENSG00000168028", "ENSG00000136826", "ENSG00000211899", "ENSG00000175567", "ENSG00000160213", "ENSG00000104894", "ENSG00000198668", "ENSG00000106803", "ENSG00000133639", "ENSG00000127951", "ENSG00000067560", "ENSG00000104870", "ENSG00000123416", "ENSG00000198830", "ENSG00000185650", "ENSG00000103363", "ENSG00000160932", "ENSG00000143384", "ENSG00000167552", "ENSG00000136167", "ENSG00000126759", "ENSG00000111669", "ENSG00000216490", "ENSG00000185885", "ENSG00000116824", "ENSG00000172543", "ENSG00000002586", "ENSG00000183648", "ENSG00000158050", "ENSG00000005022", "ENSG00000118640", "ENSG00000115875", 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"ENSG00000131981", "ENSG00000147168", "ENSG00000163660", "ENSG00000273338", "ENSG00000124831", "ENSG00000125347", "ENSG00000164032", "ENSG00000184640", "ENSG00000130522", "ENSG00000069493", "ENSG00000111144", "ENSG00000117410", "ENSG00000111913", "ENSG00000166598", "ENSG00000101608", "ENSG00000101347", "ENSG00000135404", "ENSG00000111678", "ENSG00000166927", "ENSG00000169045", "ENSG00000133574", "ENSG00000211679", "ENSG00000148908", "ENSG00000139278", "ENSG00000150093", "ENSG00000160593", "ENSG00000106066", "ENSG00000140612", "ENSG00000081059", "ENSG00000172183", "ENSG00000133321", "ENSG00000111679", "ENSG00000142347", "ENSG00000179218", "ENSG00000125753", "ENSG00000125538", "ENSG00000132963", "ENSG00000104660", "ENSG00000104763", "ENSG00000137575", "ENSG00000164104", "ENSG00000174021", "ENSG00000177105", "ENSG00000213626", "ENSG00000137161", "ENSG00000023191", "ENSG00000112799", "ENSG00000158517", "ENSG00000197043", "ENSG00000213658", "ENSG00000114353", "ENSG00000113269", "ENSG00000165168", "ENSG00000130313", "ENSG00000153234", "ENSG00000110934", "ENSG00000172243", "ENSG00000114942", "ENSG00000115310", "ENSG00000153113", "ENSG00000164442", "ENSG00000276216", "ENSG00000114861", "ENSG00000021355", "ENSG00000132965", "ENSG00000124942", "ENSG00000132002", "ENSG00000171314", "ENSG00000179820", "ENSG00000102524", "ENSG00000140968", "ENSG00000042493", "ENSG00000173221", "ENSG00000221869", "ENSG00000164543", "ENSG00000132465", "ENSG00000271614", "ENSG00000101745", "ENSG00000143878", "ENSG00000100242", "ENSG00000140264", "ENSG00000112576", "ENSG00000078304", "ENSG00000160014", "ENSG00000213741", "ENSG00000137752", "ENSG00000000938", "ENSG00000198888", "ENSG00000103811", "ENSG00000175463", "ENSG00000108518", "ENSG00000081189", "ENSG00000105835", "ENSG00000089157", "ENSG00000112096", "ENSG00000109861", "ENSG00000028277", "ENSG00000010404", "ENSG00000138795", "ENSG00000198840", "ENSG00000115956", "ENSG00000255112", "ENSG00000100100", "ENSG00000100453", 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1.58069587170604, 1.68087794817849, 1.96134702635442, 1.12964564219038, 0.607769938956892, 2.28960676620483, 1.8541488041409, 1.83070125132696, 1.7582300066089, 1.54667235343391, 1.0700207778103, 1.92736848153555, 1.23350461834323, 1.20172704046368, 1.18272952760114, 1.33236030036399, 1.24897679744592, 1.03163217297241, 0.977552343270858, 1.05702540541645, 0.678957868751614, 1.66287446863951, 1.81139356155228, 2.25990045185762, 1.15269211380848, 1.66842956529405, 1.25135154717165, 1.17546709595742, 2.6853243776029, 1.76252635057474, 2.59824072813664, 1.67931784493334, 0.995893730766983, 0.682796217527102, 1.14187551900583, 0.572797612749912, 1.7542115155672, 1.23120108563812, 0.970947839090235, 1.62467606628538, 1.13572597480414, 1.05090397996621, 2.70538789368464, 2.98464768731634, 1.3801626536391, 2.05354889827338, 1.2500716455237, 1.14278133201499, 1.21378167178386, 2.53562184669131, 2.33721354310106, 1.26617928640391, 1.08457188419971, 0.974184344469717, 1.2219033424295, 1.2259198791698, 1.9172724813665, 1.21378167178386, 1.91284985412394, 0.926792889119852, 1.25520800893634, 2.1022550437676, 1.0742501540374, 1.6467837968548, 1.69471172641887, 0.514557963961153, 1.25428751529215, 1.60321293038716, 2.17624463722622, 1.80302662470823, 1.25686851965061, 1.61887839492504, 1.81922692554019, 1.61233446208949, ... [output truncated]
ExperimentSubset.Rcheck/ExperimentSubset-Ex.timings
name | user | system | elapsed | |
ExperimentSubset | 0.372 | 0.015 | 0.390 | |
createSubset | 0.583 | 0.015 | 0.600 | |
getSubsetAssay | 0.406 | 0.027 | 0.434 | |