Hello, When I try to run the example code in the saveHDF5SummarizedExperiment function, I get the error "Error: C stack usage 7969416 is too close to the limit”. I am working with development R and have incorporated HDF5 functionality in my package. I did so many weeks ago on earlier versions of the packages and didn’t use to get this error, but now my tests are failing, etc, since I can’t create a basic object.
Perhaps I’m unknowingly using the wrong version or some other problem? Otherwise, I expect this is already known by authors since its their own example, but in that case I am also wondering if I should roll back to an earlier version for now, and if so which one so that I’m still reasonably current? Thanks, Elizabeth Purdom Following example from the help pages of saveHDF5SummarizedExperiment: > library(HDF5Array) > library(SummarizedExperiment) > nrows <- 200; ncols <- 6 > counts <- matrix(runif(nrows * ncols, 1, 1e4), nrows) > colData <- DataFrame(Treatment=rep(c("ChIP", "Input"), 3), + row.names=LETTERS[1:6]) > se0 <- SummarizedExperiment(assays=SimpleList(counts=counts), + colData=colData) > se0 class: SummarizedExperiment dim: 200 6 metadata(0): assays(1): counts rownames: NULL rowData names(0): colnames(6): A B ... E F colData names(1): Treatment > > ## Save 'se0' as an HDF5-based SummarizedExperiment object: > dir <- sub("file", "h5_se0_", tempfile()) > h5_se0 <- saveHDF5SummarizedExperiment(se0, dir) Error: C stack usage 7969416 is too close to the limit #only showing part of traceback, because as expected by error, hitting some kind of loop > traceback() ….. 28: nrow(x) 27: nrow(x) 26: dim(x) 25: dim(x) 24: nrow(x) 23: nrow(x) 22: dim(x) 21: dim(x) 20: nrow(x) 19: nrow(x) 18: dim(assay) 17: dim(assay) 16: FUN(X[[i]], ...) 15: lapply(as.list(X), match.fun(FUN), ...) 14: lapply(as.list(X), match.fun(FUN), ...) 13: lapply(X = X, FUN = FUN, ...) 12: lapply(X = X, FUN = FUN, ...) 11: sapply(assays, function(assay) dim(assay)[1:2]) 10: sapply(assays, function(assay) dim(assay)[1:2]) 9: valid.func(object) 8: validityMethod(as(object, superClass)) 7: isTRUE(x) 6: anyStrings(validityMethod(as(object, superClass))) 5: validObject(ans) 4: `[[<-`(`*tmp*`, i, value = new("HDF5Matrix", seed = new("HDF5ArraySeed", filepath = "/private/var/folders/h4/xtpbyfq55qd3rc882bm4zfjw0000gn/T/RtmpKIQALa/h5_se0_7d29f927618/assays.h5", name = "assay001", dim = c(200L, 6L), first_val = 2481.95574347652, chunkdim = c(200L, 6L)))) 3: `[[<-`(`*tmp*`, i, value = new("HDF5Matrix", seed = new("HDF5ArraySeed", filepath = "/private/var/folders/h4/xtpbyfq55qd3rc882bm4zfjw0000gn/T/RtmpKIQALa/h5_se0_7d29f927618/assays.h5", name = "assay001", dim = c(200L, 6L), first_val = 2481.95574347652, chunkdim = c(200L, 6L)))) 2: .write_h5_assays(x@assays, h5_path, chunkdim, level, verbose) 1: saveHDF5SummarizedExperiment(se0, dir) > sessionInfo() R Under development (unstable) (2018-03-22 r74446) Platform: x86_64-apple-darwin15.6.0 (64-bit) Running under: OS X El Capitan 10.11.6 Matrix products: default BLAS: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRblas.0.dylib LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] parallel stats4 stats graphics grDevices utils datasets methods base other attached packages: [1] SummarizedExperiment_1.9.16 Biobase_2.39.2 GenomicRanges_1.31.23 GenomeInfoDb_1.15.5 [5] HDF5Array_1.7.10 rhdf5_2.23.8 DelayedArray_0.5.30 BiocParallel_1.13.3 [9] IRanges_2.13.28 S4Vectors_0.17.42 BiocGenerics_0.25.3 matrixStats_0.53.1 loaded via a namespace (and not attached): [1] lattice_0.20-35 bitops_1.0-6 grid_3.5.0 zlibbioc_1.25.0 XVector_0.19.9 [6] Matrix_1.2-14 Rhdf5lib_1.1.5 tools_3.5.0 RCurl_1.95-4.10 compiler_3.5.0 [11] GenomeInfoDbData_1.1.0 > _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel