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unable to find an inherited method for function ‘featureDefinitions’ for signature ‘"xcmsSet"’ #52

@priyanka-1802

Description

@priyanka-1802

Hi,

we tried to perform RAMClustR by importing the xcms preprocessed data as provided in your vignette. However, we couldn't proceed further due to the following error:

Error in (function (classes, fdef, mtable) : unable to find an inherited method for function ‘featureDefinitions’ for signature ‘"xcmsSet"’

Note: we also got the same error on trying with the dataset from "faahKO" library that had been demonstrated in the RAMClustR vignette.

The session info of the same is given below for your reference:

sessionInfo()
R version 4.3.1 (2023-06-16 ucrt)
Platform: x86_64-w64-mingw32/x64 (64-bit)
Running under: Windows 10 x64 (build 19044)

Matrix products: default

locale:
[1] LC_COLLATE=English_United States.1252 LC_CTYPE=English_United States.1252 LC_MONETARY=English_United States.1252
[4] LC_NUMERIC=C LC_TIME=English_United States.1252

time zone: America/New_York
tzcode source: internal

attached base packages:
[1] stats4 stats graphics grDevices utils datasets methods base

other attached packages:
[1] devtools_2.4.5 usethis_2.2.2 RAMClustR_1.3.1 SummarizedExperiment_1.32.0
[5] GenomicRanges_1.54.1 GenomeInfoDb_1.38.2 IRanges_2.36.0 MatrixGenerics_1.14.0
[9] matrixStats_1.2.0 MsExperiment_1.4.0 pheatmap_1.0.12 pander_0.6.5
[13] RColorBrewer_1.1-3 faahKO_1.40.0 xcms_4.0.1 MSnbase_2.28.1
[17] ProtGenerics_1.34.0 S4Vectors_0.40.2 mzR_2.36.0 Rcpp_1.0.11
[21] Biobase_2.62.0 BiocGenerics_0.48.1 BiocParallel_1.36.0

loaded via a namespace (and not attached):
[1] rstudioapi_0.15.0 MultiAssayExperiment_1.28.0 magrittr_2.0.3 farver_2.1.1
[5] MALDIquant_1.22.1 fs_1.6.3 zlibbioc_1.48.0 vctrs_0.6.4
[9] multtest_2.58.0 memoise_2.0.1 RCurl_1.98-1.13 MultiDataSet_1.28.0
[13] htmltools_0.5.7 S4Arrays_1.2.0 progress_1.2.3 curl_5.2.0
[17] dynamicTreeCut_1.63-1 SparseArray_1.2.2 mzID_1.40.0 desc_1.4.3
[21] htmlwidgets_1.6.4 plyr_1.8.9 impute_1.76.0 cachem_1.0.8
[25] qqman_0.1.9 igraph_1.6.0 mime_0.12 lifecycle_1.0.4
[29] iterators_1.0.14 ropls_1.32.0 pkgconfig_2.0.3 Matrix_1.6-1.1
[33] R6_2.5.1 fastmap_1.1.1 GenomeInfoDbData_1.2.11 shiny_1.7.5.1
[37] clue_0.3-65 digest_0.6.33 pcaMethods_1.94.0 colorspace_2.1-0
[41] ps_1.7.5 pkgload_1.3.3 Spectra_1.12.0 fansi_1.0.6
[45] abind_1.4-5 compiler_4.3.1 remotes_2.4.2.1 proxy_0.4-27
[49] doParallel_1.0.17 pkgbuild_1.4.3 MASS_7.3-60 sessioninfo_1.2.2
[53] DelayedArray_0.28.0 tools_4.3.1 httpuv_1.6.13 glue_1.6.2
[57] callr_3.7.3 promises_1.2.1 QFeatures_1.12.0 grid_4.3.1
[61] cluster_2.1.4 generics_0.1.3 snow_0.4-4 gtable_0.3.4
[65] class_7.3-22 preprocessCore_1.64.0 hms_1.1.3 MetaboCoreUtils_1.10.0
[69] utf8_1.2.4 XVector_0.42.0 stringr_1.5.1 RANN_2.6.1
[73] foreach_1.5.2 pillar_1.9.0 limma_3.58.1 later_1.3.2
[77] robustbase_0.99-1 splines_4.3.1 dplyr_1.1.4 lattice_0.21-9
[81] survival_3.5-7 tidyselect_1.2.0 miniUI_0.1.1.1 statmod_1.5.0
[85] DEoptimR_1.1-3 stringi_1.7.12 lazyeval_0.2.2 codetools_0.2-19
[89] MsCoreUtils_1.14.1 tibble_3.2.1 BiocManager_1.30.22 cli_3.6.1
[93] affyio_1.72.0 xtable_1.8-4 processx_3.8.3 munsell_0.5.0
[97] MassSpecWavelet_1.68.0 XML_3.99-0.16 fastcluster_1.2.3 parallel_4.3.1
[101] ellipsis_0.3.2 ggplot2_3.4.4 prettyunits_1.2.0 profvis_0.3.8
[105] calibrate_1.7.7 urlchecker_1.0.1 AnnotationFilter_1.26.0 bitops_1.0-7
[109] MsFeatures_1.10.0 scales_1.3.0 affy_1.80.0 e1071_1.7-14
[113] ncdf4_1.22 purrr_1.0.2 crayon_1.5.2 rlang_1.1.1
[117] vsn_3.70.0

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