[Bioc-devel] droplevels method for DataFrame?

Makes sense to me. Just wondering: if S4Vectors were say on github,
would this be something that you would be comfortable resolving via a
pull request? Would social coding increase external contributions to
the infrastructure?

On Mon, Oct 6, 2014 at 5:13 PM, Ryan C. Thompson <rct at thompsonclan.org
<mailto:rct at thompsonclan.org>> wrote:

    Hi,

    I've just noticed that DataFrame doesn't have a "droplevels"
    method, but "data.frame" does. In fact, "droplevels.data.frame"
    seems to work just fine on DataFrame objects. Could this be added?

    -Ryan

    > sessionInfo()

    R version 3.1.0 (2014-04-10)
    Platform: x86_64-unknown-linux-gnu (64-bit)

    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] splines   grDevices datasets  parallel  graphics  stats utils
    [8] methods   base

    other attached packages:
     [1] DESeq2_1.4.5               RcppArmadillo_0.4.450.1.0
     [3] Rcpp_0.11.2                cqn_1.10.0
     [5] quantreg_5.05              SparseM_1.05
     [7] preprocessCore_1.26.1      nor1mix_1.2-0
     [9] mclust_4.4                 baySeq_1.18.0
    [11] DESeq_1.16.0               lattice_0.20-29
    [13] locfit_1.5-9.1             edgeR_3.6.8
    [15] limma_3.20.9               arrayQualityMetrics_3.20.0
    [17] partitions_1.9-15          biomaRt_2.20.0
    [19] functional_0.6             sqldf_0.4-7.1
    [21] RSQLite.extfuns_0.0.1      RSQLite_0.11.4
    [23] DBI_0.3.1                  gsubfn_0.6-6
    [25] proto_0.3-10               GenomicFeatures_1.16.2
    [27] AnnotationDbi_1.26.0       chipseq_1.14.0
    [29] inline_0.3.13              affy_1.42.3
    [31] Biobase_2.24.0             ShortRead_1.22.0
    [33] GenomicAlignments_1.0.6    BSgenome_1.32.0
    [35] BiocParallel_0.6.1         Rsamtools_1.16.1
    [37] Biostrings_2.32.1          XVector_0.4.0
    [39] doParallel_1.0.8           iterators_1.0.7
    [41] rtracklayer_1.24.2         GenomicRanges_1.16.4
    [43] GenomeInfoDb_1.0.2         Matrix_1.1-4
    [45] RColorBrewer_1.0-5         foreach_1.4.2
    [47] plyr_1.8.1                 stringr_0.6.2
    [49] ggplot2_1.0.0              IRanges_1.22.10
    [51] BiocGenerics_0.10.0        BiocInstaller_1.14.2

    loaded via a namespace (and not attached):
     [1] acepack_1.3-3.3      affyio_1.32.0        affyPLM_1.40.1
     [4] annotate_1.42.1      base64_1.2           base64enc_0.1-2
     [7] BatchJobs_1.4        BBmisc_1.7           beadarray_2.14.1
    [10] BeadDataPackR_1.16.0 bitops_1.0-6         brew_1.0-6
    [13] Cairo_1.5-6          checkmate_1.4        chron_2.3-45
    [16] cluster_1.15.3       codetools_0.2-9      colorspace_1.2-4
    [19] compiler_3.1.0       digest_0.6.4         fail_1.2
    [22] foreign_0.8-61       Formula_1.1-2        gcrma_2.36.0
    [25] genefilter_1.46.1    geneplotter_1.42.0   gmp_0.5-12
    [28] grid_3.1.0           gridSVG_1.4-0        gtable_0.1.2
    [31] Hmisc_3.14-5         hwriter_1.3.2        illuminaio_0.6.1
    [34] latticeExtra_0.6-26  MASS_7.3-34          munsell_0.4.2
    [37] nnet_7.3-8           polynom_1.3-8        RCurl_1.96-0
    [40] reshape2_1.4         RJSONIO_1.2-0.2      rpart_4.1-8
    [43] scales_0.2.4         sendmailR_1.2-1      setRNG_2013.9-1
    [46] stats4_3.1.0         survival_2.37-7      SVGAnnotation_0.93-1
    [49] tools_3.1.0          vsn_3.32.0           XML_3.98-1.1
    [52] xtable_1.7-4         zlibbioc_1.10.0