I am running a set of analyses in Minfi. I have previously used Minfi with a different dataset, and it ran smoothly. However, this time I am getting the following error after inputting the data (in this new round I have idat files with different array sizes, so used the force=TRUE)
library(minfi)
targetsNsg <- read.metharray.sheet("minfi")
RGsetNsg <- read.metharray.exp(targets=targetsNsg, force=TRUE)
Error in checkSlotAssignment(object, name, value) :
assignment of an object of class “character” is not valid for slot ‘NAMES’ in an object of class “RGChannelSet”; is(value, "character_OR_NULL") is not TRUE
If you could please let me know if you have a solution for this error, it would be greatly appreciated.
sessionInfo()
R version 3.4.1 (2017-06-30)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows >= 8 x64 (build 9200)
Matrix products: default
locale:
[1] LC_COLLATE=English_United States.1252
[2] LC_CTYPE=English_United States.1252
[3] LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C
[5] LC_TIME=English_United States.1252
attached base packages:
[1] grid stats4 parallel stats graphics grDevices utils
[8] datasets methods base
other attached packages:
[1] RnBeads_1.6.1
[2] plyr_1.8.4
[3] methylumi_2.20.0
[4] minfi_1.22.1
[5] bumphunter_1.14.0
[6] locfit_1.5-9.1
[7] iterators_1.0.8
[8] foreach_1.4.3
[9] Biostrings_2.41.4
[10] XVector_0.13.7
[11] SummarizedExperiment_1.3.82
[12] FDb.InfiniumMethylation.hg19_2.2.0
[13] org.Hs.eg.db_3.4.0
[14] TxDb.Hsapiens.UCSC.hg19.knownGene_3.2.2
[15] GenomicFeatures_1.26.4
[16] AnnotationDbi_1.36.2
[17] reshape2_1.4.2
[18] scales_0.5.0
[19] Biobase_2.33.3
[20] illuminaio_0.16.0
[21] matrixStats_0.52.2
[22] limma_3.30.13
[23] gridExtra_2.2.1
[24] gplots_3.0.1
[25] ggplot2_2.2.1
[26] fields_9.0
[27] maps_3.2.0
[28] spam_2.1-1
[29] dotCall64_0.9-04
[30] ff_2.2-13
[31] bit_1.1-12
[32] cluster_2.0.6
[33] RColorBrewer_1.1-2
[34] MASS_7.3-47
[35] GenomicRanges_1.25.94
[36] GenomeInfoDb_1.9.12
[37] IRanges_2.7.15
[38] S4Vectors_0.11.14
[39] BiocGenerics_0.19.2
loaded via a namespace (and not attached):
[1] nlme_3.1-131 bitops_1.0-6
[3] bit64_0.9-7 httr_1.3.1
[5] tools_3.4.1 doRNG_1.6.6
[7] nor1mix_1.2-3 R6_2.2.2
[9] KernSmooth_2.23-15 DBI_0.7
[11] lazyeval_0.2.0 colorspace_1.3-2
[13] base64_2.0 compiler_3.4.1
[15] preprocessCore_1.36.0 pkgmaker_0.22
[17] rtracklayer_1.34.2 caTools_1.17.1
[19] quadprog_1.5-5 genefilter_1.56.0
[21] stringr_1.2.0 digest_0.6.12
[23] Rsamtools_1.26.2 siggenes_1.48.0
[25] GEOquery_2.40.0 pkgconfig_2.0.1
[27] rlang_0.1.2 RSQLite_2.0
[29] mclust_5.3 BiocParallel_1.8.2
[31] gtools_3.5.0 RCurl_1.95-4.8
[33] magrittr_1.5 Matrix_1.2-10
[35] Rcpp_0.12.12 munsell_0.4.3
[37] stringi_1.1.5 zlibbioc_1.20.0
[39] blob_1.1.0 gdata_2.18.0
[41] lattice_0.20-35 splines_3.4.1
[43] annotate_1.52.1 multtest_2.30.0
[45] beanplot_1.2 rngtools_1.2.4
[47] codetools_0.2-15 biomaRt_2.30.0
[49] XML_3.98-1.9 data.table_1.10.4
[51] gtable_0.2.0 openssl_0.9.6
[53] reshape_0.8.7 xtable_1.8-2
[55] survival_2.41-3 tibble_1.3.4
[57] GenomicAlignments_1.10.1 registry_0.3
[59] memoise_1.1.0
Have you checked whether your system is current by running
biocValid()