Below is some output from one of my students. I have never seen this error and tried a few things (updating packages for one) but am at a loss to help further. Would appreciate suggestions that I can pass along.
Here is the error. I tried an install.packages(“xml2”) which appeared to complete but the error persists. > library("tidyverse") Error: package or namespace load failed for ‘tidyverse’ in library.dynam(lib, package, package.lib): DLL ‘xml2’ not found: maybe not installed for this architecture? Here is the sessionInfo() > sessionInfo() R version 4.1.1 (2021-08-10) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 10 x64 (build 19042) Matrix products: default locale: [1] LC_COLLATE=English_Canada.1252 LC_CTYPE=English_Canada.1252 LC_MONETARY=English_Canada.1252 LC_NUMERIC=C [5] LC_TIME=English_Canada.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base loaded via a namespace (and not attached): [1] Rcpp_1.0.7 cellranger_1.1.0 pillar_1.6.2 compiler_4.1.1 dbplyr_2.1.1 forcats_0.5.1 tools_4.1.1 [8] jsonlite_1.7.2 lubridate_1.7.10 lifecycle_1.0.0 tibble_3.1.4 gtable_0.3.0 pkgconfig_2.0.3 rlang_0.4.11 [15] reprex_2.0.1 DBI_1.1.1 haven_2.4.3 withr_2.4.2 dplyr_1.0.7 httr_1.4.2 fs_1.5.0 [22] generics_0.1.0 vctrs_0.3.8 hms_1.1.0 grid_4.1.1 tidyselect_1.1.1 glue_1.4.2 R6_2.5.1 [29] fansi_0.5.0 readxl_1.3.1 tzdb_0.1.2 tidyr_1.1.3 ggplot2_3.3.5 purrr_0.3.4 readr_2.0.1 [36] modelr_0.1.8 magrittr_2.0.1 backports_1.2.1 scales_1.1.1 ellipsis_0.3.2 assertthat_0.2.1 colorspace_2.0-2 [43] utf8_1.2.2 munsell_0.5.0 broom_0.7.9 crayon_1.4.1 -- Kevin E. Thorpe Head of Biostatistics, Applied Health Research Centre (AHRC) Li Ka Shing Knowledge Institute of St. Michael's Assistant Professor, Dalla Lana School of Public Health University of Toronto email: kevin.tho...@utoronto.ca Tel: 416.864.5776 Fax: 416.864.3016 ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.