你好大佬，我在运行cm<-clusterData(exp=exps,
cluster.method="mfuzz",
cluster.num=6)
这个自带的函数的时候，出现下边的报错。请问什么情况哈？
错误于h(simpleError(msg, call)):
在为函数“ExpressionSet”选择方法时计算参数“assayData”时出错：cannot coerce type 'builtin' to vector of type 'any'
sessionInfo()
R version 4.5.2 (2025-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 26100)
Matrix products: default
LAPACK version 3.12.1
locale:
[1] LC_COLLATE=Chinese (Simplified)_China.utf8
[2] LC_CTYPE=Chinese (Simplified)_China.utf8
[3] LC_MONETARY=Chinese (Simplified)_China.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.utf8
time zone: Asia/Shanghai
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ClusterGVis_0.1.4 GseaVis_0.1.1
loaded via a namespace (and not attached):
[1] tidyselect_1.2.1 dplyr_1.1.4
[3] farver_2.1.2 blob_1.2.4
[5] R.utils_2.13.0 Biostrings_2.78.0
[7] S7_0.2.1 SingleCellExperiment_1.32.0
[9] fastmap_1.2.0 ggpp_0.5.9
[11] digest_0.6.39 lifecycle_1.0.4
[13] KEGGREST_1.50.0 RSQLite_2.4.5
[15] magrittr_2.0.4 compiler_4.5.2
[17] rlang_1.1.6 tools_4.5.2
[19] data.table_1.17.8 S4Arrays_1.10.1
[21] bit_4.6.0 DelayedArray_0.36.0
[23] plyr_1.8.9 gson_0.1.0
[25] RColorBrewer_1.1-3 abind_1.4-8
[27] BiocParallel_1.44.0 purrr_1.2.0
[29] BiocGenerics_0.56.0 R.oo_1.27.1
[31] grid_4.5.2 stats4_4.5.2
[33] GOSemSim_2.36.0 cols4all_0.10
[35] colorspace_2.1-2 spacesXYZ_1.6-0
[37] GO.db_3.22.0 ggplot2_4.0.1
[39] ggridges_0.5.7 scales_1.4.0
[41] MASS_7.3-65 SummarizedExperiment_1.40.0
[43] cli_3.6.5 crayon_1.5.3
[45] generics_0.1.4 rstudioapi_0.17.1
[47] httr_1.4.7 reshape2_1.4.5
[49] DBI_1.2.3 polynom_1.4-1
[51] qvalue_2.42.0 cachem_1.1.0
[53] DOSE_4.4.0 stringr_1.6.0
[55] splines_4.5.2 parallel_4.5.2
[57] AnnotationDbi_1.72.0 BiocManager_1.30.27
[59] XVector_0.50.0 matrixStats_1.5.0
[61] yulab.utils_0.2.3 vctrs_0.6.5
[63] Matrix_1.7-4 jsonlite_2.0.0
[65] IRanges_2.44.0 S4Vectors_0.48.0
[67] bit64_4.6.0-1 tidyr_1.3.2
[69] glue_1.8.0 codetools_0.2-20
[71] cowplot_1.2.0 stringi_1.8.7
[73] gtable_0.3.6 shape_1.4.6.1
[75] GenomicRanges_1.62.1 tibble_3.3.0
[77] logger_0.4.1 pillar_1.11.1
[79] rappdirs_0.3.3 Seqinfo_1.0.0
[81] fgsea_1.36.0 ggsankey_0.0.99999
[83] circlize_0.4.17 R6_2.6.1
[85] microbenchmark_1.5.0 lattice_0.22-7
[87] Biobase_2.70.0 R.methodsS3_1.8.2
[89] png_0.1-8 memoise_2.0.1
[91] Rcpp_1.1.0 fastmatch_1.1-6
[93] SparseArray_1.6.0 MatrixGenerics_1.22.0
[95] fs_1.6.6 pkgconfig_2.0.3
[97] GlobalOptions_0.1.3
你好大佬，我在运行cm<-clusterData(exp=exps,
cluster.method="mfuzz",
cluster.num=6)
这个自带的函数的时候，出现下边的报错。请问什么情况哈？
错误于h(simpleError(msg, call)):
在为函数“ExpressionSet”选择方法时计算参数“assayData”时出错：cannot coerce type 'builtin' to vector of type 'any'
sessionInfo()
R version 4.5.2 (2025-10-31 ucrt)
Platform: x86_64-w64-mingw32/x64
Running under: Windows 11 x64 (build 26100)
Matrix products: default
LAPACK version 3.12.1
locale:
[1] LC_COLLATE=Chinese (Simplified)_China.utf8
[2] LC_CTYPE=Chinese (Simplified)_China.utf8
[3] LC_MONETARY=Chinese (Simplified)_China.utf8
[4] LC_NUMERIC=C
[5] LC_TIME=Chinese (Simplified)_China.utf8
time zone: Asia/Shanghai
tzcode source: internal
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] ClusterGVis_0.1.4 GseaVis_0.1.1
loaded via a namespace (and not attached):
[1] tidyselect_1.2.1 dplyr_1.1.4
[3] farver_2.1.2 blob_1.2.4
[5] R.utils_2.13.0 Biostrings_2.78.0
[7] S7_0.2.1 SingleCellExperiment_1.32.0
[9] fastmap_1.2.0 ggpp_0.5.9
[11] digest_0.6.39 lifecycle_1.0.4
[13] KEGGREST_1.50.0 RSQLite_2.4.5
[15] magrittr_2.0.4 compiler_4.5.2
[17] rlang_1.1.6 tools_4.5.2
[19] data.table_1.17.8 S4Arrays_1.10.1
[21] bit_4.6.0 DelayedArray_0.36.0
[23] plyr_1.8.9 gson_0.1.0
[25] RColorBrewer_1.1-3 abind_1.4-8
[27] BiocParallel_1.44.0 purrr_1.2.0
[29] BiocGenerics_0.56.0 R.oo_1.27.1
[31] grid_4.5.2 stats4_4.5.2
[33] GOSemSim_2.36.0 cols4all_0.10
[35] colorspace_2.1-2 spacesXYZ_1.6-0
[37] GO.db_3.22.0 ggplot2_4.0.1
[39] ggridges_0.5.7 scales_1.4.0
[41] MASS_7.3-65 SummarizedExperiment_1.40.0
[43] cli_3.6.5 crayon_1.5.3
[45] generics_0.1.4 rstudioapi_0.17.1
[47] httr_1.4.7 reshape2_1.4.5
[49] DBI_1.2.3 polynom_1.4-1
[51] qvalue_2.42.0 cachem_1.1.0
[53] DOSE_4.4.0 stringr_1.6.0
[55] splines_4.5.2 parallel_4.5.2
[57] AnnotationDbi_1.72.0 BiocManager_1.30.27
[59] XVector_0.50.0 matrixStats_1.5.0
[61] yulab.utils_0.2.3 vctrs_0.6.5
[63] Matrix_1.7-4 jsonlite_2.0.0
[65] IRanges_2.44.0 S4Vectors_0.48.0
[67] bit64_4.6.0-1 tidyr_1.3.2
[69] glue_1.8.0 codetools_0.2-20
[71] cowplot_1.2.0 stringi_1.8.7
[73] gtable_0.3.6 shape_1.4.6.1
[75] GenomicRanges_1.62.1 tibble_3.3.0
[77] logger_0.4.1 pillar_1.11.1
[79] rappdirs_0.3.3 Seqinfo_1.0.0
[81] fgsea_1.36.0 ggsankey_0.0.99999
[83] circlize_0.4.17 R6_2.6.1
[85] microbenchmark_1.5.0 lattice_0.22-7
[87] Biobase_2.70.0 R.methodsS3_1.8.2
[89] png_0.1-8 memoise_2.0.1
[91] Rcpp_1.1.0 fastmatch_1.1-6
[93] SparseArray_1.6.0 MatrixGenerics_1.22.0
[95] fs_1.6.6 pkgconfig_2.0.3
[97] GlobalOptions_0.1.3