who determined that breaking this would be a good idea?!? R> ?SummarizedExperiment Help on topic 'SummarizedExperiment' was found in the following packages:
Package Library GenomicRanges /home/tim/R/x86_64-pc-linux-gnu-library/3.2 SummarizedExperiment /home/tim/R/x86_64-pc-linux-gnu-library/3.2 R> nrows <- 200; ncols <- 6 R> counts <- matrix(runif(nrows * ncols, 1, 1e4), nrows) R> rowRanges <- GRanges(rep(c("chr1", "chr2"), c(50, 150)), + IRanges(floor(runif(200, 1e5, 1e6)), width=100), + strand=sample(c("+", "-"), 200, TRUE)) R> colData <- DataFrame(Treatment=rep(c("ChIP", "Input"), 3), + row.names=LETTERS[1:6]) R> sset <- SummarizedExperiment(assays=SimpleList(counts=counts), + rowRanges=rowRanges, colData=colData) R> sset class: RangedSummarizedExperiment dim: 200 6 metadata(0): assays(1): counts rownames: NULL rowRanges metadata column names(0): colnames(6): A B ... E F colData names(1): Treatment R> assayNames(sset) [1] "counts" R> assays(sset) <- endoapply(assays(sset), asinh) R> head(assay(sset)) A B C D E F [1,] 6.89 8.81 9.46 9.20 8.88 9.44 [2,] 5.07 9.70 4.08 7.47 8.91 5.64 [3,] 9.88 9.84 8.95 9.07 9.86 9.06 [4,] 9.89 8.88 8.92 8.05 8.46 9.51 [5,] 9.75 8.48 4.73 9.86 8.43 9.86 [6,] 9.29 9.13 9.80 9.77 9.50 8.40 R> exptData(sset) Error in (function (classes, fdef, mtable) : unable to find an inherited method for function 'exptData' for signature '"RangedSummarizedExperiment"' It's one of those things that's a handy place to put data when you need to carry it around for the same set of people/subjects but don't have a handy multidimensional container for it. So it's a bit of a drag that it now breaks... Bonus: R> ?"exptData,SummarizedExperiment-method" SummarizedExperiment-class package:GenomicRanges R Documentation SummarizedExperiment instances Description: The SummarizedExperiment class is a matrix-like container where rows represent ranges of interest (as a 'GRanges or GRangesList-class') and columns represent samples (with sample data summarized as a 'DataFrame-class'). A 'SummarizedExperiment' contains one or more assays, each represented by a matrix-like object of numeric or other mode. R> sessionInfo() R version 3.2.0 (2015-04-16) Platform: x86_64-pc-linux-gnu (64-bit) Running under: Ubuntu 15.04 locale: [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8 [5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8 [7] LC_PAPER=en_US.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] grid stats4 parallel stats graphics grDevices datasets [8] utils methods base other attached packages: [1] disintegrator_0.4.8 vegan_2.2-1 [3] permute_0.8-3 CCAGFA_1.0.4 [5] FEM_2.3.0 org.Hs.eg.db_3.1.2 [7] igraph_0.7.1 corrplot_0.73 [9] marray_1.47.0 AnnotationDbi_1.31.6 [11] MotifDb_1.10.0 PWMEnrich_4.5.0 [13] SCAN.UPC_2.10.0 sva_3.15.0 [15] genefilter_1.51.0 mgcv_1.8-6 [17] nlme_3.1-120 affyio_1.37.0 [19] affy_1.47.0 oligo_1.33.0 [21] oligoClasses_1.31.0 SRAdb_1.23.0 [23] RCurl_1.95-4.6 bitops_1.0-6 [25] graph_1.47.0 quadprog_1.5-5 [27] mclust_5.0.1 ConsensusClusterPlus_1.23.0 [29] simulatorZ_1.5.1 CoxBoost_1.4 [31] prodlim_1.5.1 rsig_1.0 [33] survival_2.38-1 DMRcate_1.5.42 [35] matrixStats_0.14.0 rtracklayer_1.29.5 [37] Matrix_1.2-0 qvalue_2.1.0 [39] impute_1.43.0 DMRcatedata_1.5.0 [41] minfi_1.15.3 bumphunter_1.8.0 [43] locfit_1.5-9.1 iterators_1.0.7 [45] foreach_1.4.2 Biostrings_2.37.2 [47] XVector_0.9.1 SummarizedExperiment_0.1.1 [49] GenomicRanges_1.21.9 GenomeInfoDb_1.5.2 [51] IRanges_2.3.8 S4Vectors_0.7.2 [53] lattice_0.20-31 limma_3.25.3 [55] ks_1.9.4 rgl_0.95.1247 [57] mvtnorm_1.0-2 misc3d_0.8-4 [59] KernSmooth_2.23-14 dplyr_0.4.1 [61] GEOmetadb_1.29.0 RSQLite_1.0.0 [63] DBI_0.3.1 GEOquery_2.35.4 [65] Biobase_2.29.1 BiocGenerics_0.15.0 [67] bigrquery_0.1.0.9000 BiocInstaller_1.19.5 [69] magrittr_1.5 gtools_3.4.2 loaded via a namespace (and not attached): [1] Hmisc_3.16-0 plyr_1.8.2 splines_3.2.0 [4] BiocParallel_1.3.9 ggplot2_1.0.1 digest_0.6.8 [7] SuppDists_1.1-9.1 gdata_2.16.1 GMD_0.3.3 [10] checkmate_1.5.2 BBmisc_1.9 cluster_2.0.1 [13] annotate_1.47.0 siggenes_1.43.0 colorspace_1.2-6 [16] tcltk_3.2.0 registry_0.2 gtable_0.1.2 [19] zlibbioc_1.15.0 RGCCA_2.0 evd_2.3-0 [22] scales_0.2.4 futile.options_1.0.0 pheatmap_1.0.2 [25] rngtools_1.2.4 Rcpp_0.11.6 xtable_1.7-4 [28] foreign_0.8-63 bit_1.1-12 preprocessCore_1.31.0 [31] Formula_1.2-1 lava_1.4.0 glmnet_2.0-2 [34] httr_0.6.1 gplots_2.17.0 RColorBrewer_1.1-2 [37] acepack_1.3-3.3 ff_2.2-13 reshape_0.8.5 [40] XML_3.98-1.1 nnet_7.3-9 reshape2_1.4.1 [43] munsell_0.4.2 tools_3.2.0 stringr_1.0.0 [46] bootstrap_2015.2 beanplot_1.2 caTools_1.17.1 [49] doRNG_1.6 nor1mix_1.2-0 biomaRt_2.25.1 [52] stringi_0.4-1 superpc_1.09 futile.logger_1.4.1 [55] GenomicFeatures_1.21.2 survcomp_1.19.0 gbm_2.1.1 [58] survivalROC_1.0.3 multtest_2.25.0 R6_2.0.1 [61] latticeExtra_0.6-26 gridExtra_0.9.1 affxparser_1.41.2 [64] codetools_0.2-11 lambda.r_1.1.7 seqLogo_1.35.0 [67] MASS_7.3-40 assertthat_0.1 proto_0.3-10 [70] pkgmaker_0.22 GenomicAlignments_1.5.8 Rsamtools_1.21.4 [73] mixOmics_5.0-4 rpart_4.1-9 base64_1.1 [76] illuminaio_0.11.0 rmeta_2.16 Statistics is the grammar of science. Karl Pearson <http://en.wikipedia.org/wiki/The_Grammar_of_Science> [[alternative HTML version deleted]] _______________________________________________ Bioc-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/bioc-devel