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Error occurred while I was following the provided tutorial. Is this step memory-intense? My MacBook is 8G RAM only.
> sessionInfo() R version 4.3.2 (2023-10-31) Platform: aarch64-apple-darwin20 (64-bit) Running under: macOS Sonoma 14.2.1 Matrix products: default BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib LAPACK: /Library/Frameworks/R.framework/Versions/4.3-arm64/Resources/lib/libRlapack.dylib; LAPACK version 3.11.0 locale: [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 time zone: Asia/Hong_Kong tzcode source: internal attached base packages: [1] stats graphics grDevices datasets utils methods base loaded via a namespace (and not attached): [1] fs_1.6.3 matrixStats_1.2.0 spatstat.sparse_3.0-3 [4] bitops_1.0-7 enrichplot_1.22.0 HDO.db_0.99.1 [7] httr_1.4.7 RColorBrewer_1.1-3 doParallel_1.0.17 [10] tools_4.3.2 sctransform_0.4.1 utf8_1.2.4 [13] R6_2.5.1 HDF5Array_1.30.1 lazyeval_0.2.2 [16] uwot_0.1.16 rhdf5filters_1.14.1 GetoptLong_1.0.5 [19] withr_2.5.2 sp_2.1-3 prettyunits_1.2.0 [22] gridExtra_2.3 progressr_0.14.0 cli_3.6.2 [25] Biobase_2.62.0 spatstat.explore_3.2-7 fastDummies_1.7.3 [28] scatterpie_0.2.1 Seurat_5.0.3 spatstat.data_3.0-4 [31] ggridges_0.5.6 pbapply_1.7-2 slingshot_2.10.0 [34] Rsamtools_2.18.0 yulab.utils_0.1.2 gson_0.1.0 [37] DOSE_3.28.2 R.utils_2.12.3 parallelly_1.36.0 [40] RSQLite_2.3.4 generics_0.1.3 gridGraphics_0.5-1 [43] shape_1.4.6 ica_1.0-3 spatstat.random_3.2-3 [46] dplyr_1.1.4 GO.db_3.18.0 Matrix_1.6-5 [49] fansi_1.0.6 S4Vectors_0.40.2 abind_1.4-5 [52] R.methodsS3_1.8.2 lifecycle_1.0.4 SummarizedExperiment_1.32.0 [55] rhdf5_2.46.1 qvalue_2.34.0 SparseArray_1.2.3 [58] BiocFileCache_2.10.1 Rtsne_0.17 grid_4.3.2 [61] blob_1.2.4 promises_1.2.1 crayon_1.5.2 [64] miniUI_0.1.1.1 lattice_0.21-9 cowplot_1.1.2 [67] KEGGREST_1.42.0 pillar_1.9.0 ComplexHeatmap_2.18.0 [70] fgsea_1.28.0 GenomicRanges_1.54.1 rjson_0.2.21 [73] future.apply_1.11.1 codetools_0.2-19 fastmatch_1.1-4 [76] leiden_0.4.3.1 glue_1.6.2 ggfun_0.1.3 [79] data.table_1.14.10 vctrs_0.6.5 png_0.1-8 [82] treeio_1.26.0 spam_2.10-0 gtable_0.3.4 [85] cachem_1.0.8 princurve_2.1.6 Signac_1.13.0 [88] S4Arrays_1.2.0 mime_0.12 tidygraph_1.3.0 [91] survival_3.5-7 SingleCellExperiment_1.24.0 RcppRoll_0.3.1 [94] SCP_0.5.6 iterators_1.0.14 ellipsis_0.3.2 [97] fitdistrplus_1.1-11 ROCR_1.0-11 nlme_3.1-163 [100] ggtree_3.10.0 bit64_4.0.5 progress_1.2.3 [103] filelock_1.0.3 RcppAnnoy_0.0.22 GenomeInfoDb_1.38.5 [106] R.cache_0.16.0 irlba_2.3.5.1 KernSmooth_2.23-22 [109] colorspace_2.1-0 BiocGenerics_0.48.1 DBI_1.2.0 [112] tidyselect_1.2.0 proxyC_0.4.1 bit_4.0.5 [115] compiler_4.3.2 curl_5.2.0 xml2_1.3.6 [118] DelayedArray_0.28.0 plotly_4.10.4 shadowtext_0.1.2 [121] scales_1.3.0 lmtest_0.9-40 rappdirs_0.3.3 [124] stringr_1.5.1 digest_0.6.33 goftest_1.2-3 [127] spatstat.utils_3.0-5 XVector_0.42.0 htmltools_0.5.7 [130] pkgconfig_2.0.3 MatrixGenerics_1.14.0 dbplyr_2.4.0 [133] fastmap_1.1.1 rlang_1.1.2 GlobalOptions_0.1.2 [136] htmlwidgets_1.6.4 shiny_1.8.0 farver_2.1.1 [139] zoo_1.8-12 jsonlite_1.8.8 BiocParallel_1.36.0 [142] GOSemSim_2.28.0 R.oo_1.25.0 RCurl_1.98-1.13 [145] magrittr_2.0.3 GenomeInfoDbData_1.2.11 ggplotify_0.1.2 [148] dotCall64_1.1-1 patchwork_1.1.3 Rhdf5lib_1.24.2 [151] munsell_0.5.0 Rcpp_1.0.11 TrajectoryUtils_1.10.1 [154] ape_5.7-1 ggnewscale_0.4.9 viridis_0.6.4 [157] reticulate_1.35.0 stringi_1.8.3 ggraph_2.1.0 [160] zlibbioc_1.48.0 MASS_7.3-60 plyr_1.8.9 [163] parallel_4.3.2 listenv_0.9.0 ggrepel_0.9.4 [166] deldir_2.0-2 Biostrings_2.70.1 graphlayouts_1.0.2 [169] splines_4.3.2 tensor_1.5 hms_1.1.3 [172] circlize_0.4.16 igraph_1.6.0 spatstat.geom_3.2-9 [175] RcppHNSW_0.6.0 reshape2_1.4.4 biomaRt_2.58.0 [178] stats4_4.3.2 XML_3.99-0.16 SeuratObject_5.0.1 [181] renv_1.0.7 foreach_1.5.2 tweenr_2.0.2 [184] httpuv_1.6.13 RANN_2.6.1 tidyr_1.3.0 [187] purrr_1.0.2 polyclip_1.10-6 future_1.33.1 [190] clue_0.3-65 scattermore_1.2 ggplot2_3.4.4 [193] ggforce_0.4.1 xtable_1.8-4 RSpectra_0.16-1 [196] tidytree_0.4.6 later_1.3.2 viridisLite_0.4.2 [199] tibble_3.2.1 clusterProfiler_4.10.0 aplot_0.2.2 [202] memoise_2.0.1 AnnotationDbi_1.64.1 IRanges_2.36.0 [205] cluster_2.1.4 globals_0.16.2
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Error occurred while I was following the provided tutorial.
Is this step memory-intense? My MacBook is 8G RAM only.
The text was updated successfully, but these errors were encountered: