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: [email protected] Tel: 416.864.5776 Fax: 416.864.3016
______________________________________________
[email protected] 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.