Dear all,

we're having some rather strange errors with R CMD check on the xcms package 
recently: it will fail with this warning (which then becomes an error):

✔  checking whether the namespace can be loaded with stated dependencies (5.9s)
✔  checking whether the namespace can be unloaded cleanly (6.1s)
W  checking loading without being on the library search path (5.3s)
   Loading required package: BiocParallel
   Loading required package: MSnbase
   Loading required package: BiocGenerics

   Attaching package: ‘BiocGenerics’

   The following objects are masked from ‘package:stats’:

       IQR, mad, sd, var, xtabs

   The following objects are masked from ‘package:base’:

       Filter, Find, Map, Position, Reduce, anyDuplicated, aperm, append,
       as.data.frame, basename, cbind, colnames, dirname, do.call,
       duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
       lapply, mapply, match, mget, order, paste, pmax, pmax.int, pmin,
       pmin.int, rank, rbind, rownames, sapply, setdiff, sort, table,
       tapply, union, unique, unsplit, which.max, which.min

   Loading required package: Biobase
   Welcome to Bioconductor

       Vignettes contain introductory material; view with
       'browseVignettes()'. To cite Bioconductor, see
       'citation("Biobase")', and for packages 'citation("pkgname")'.

   Loading required package: mzR
   Loading required package: Rcpp
   Loading required package: S4Vectors
   Loading required package: stats4

   Attaching package: ‘S4Vectors’

   The following object is masked from ‘package:utils’:

       findMatches

   The following objects are masked from ‘package:base’:

       I, expand.grid, unname

   Loading required package: ProtGenerics

   Attaching package: ‘ProtGenerics’

   The following object is masked from ‘package:stats’:

       smooth


   This is MSnbase version 2.28.1
     Visit https://lgatto.github.io/MSnbase/ to get started.


   Attaching package: ‘MSnbase’

   The following object is masked from ‘package:base’:

       trimws

   Loading required package: RCurl
   Error: package or namespace load failed for ‘xcms’ in 
.requirePackage(package):
    unable to find required package ‘RCurl’
   In addition: Warning message:
   In library(package, lib.loc = lib.loc, character.only = TRUE, logical.return 
= TRUE,  :
     there is no package called ‘RCurl’
   Execution halted

   It looks like this package has a loading problem when not on .libPaths:
   see the messages for details.


This is rather puzzling, since we're not using, requiring or importing RCurl at 
all. Also, so far I've never seen this check "checking loading without being on 
the library search path" before.

I will try to figure out what is going on and where/which package is causing 
this problem, but would be great if someone has a solution or at least a hint.

thanks!
jo

I was running this for xcms from the RELEASE_3_18 branch using the 
bioconductor/bioconductor_docker:RELEASE_3_18. The sessionInfo (after loading 
xcms):

> sessionInfo()
R version 4.3.2 (2023-10-31)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 22.04.3 LTS

Matrix products: default
BLAS:   /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.20.so;  
LAPACK version 3.10.0

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C
 [3] LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8
 [7] LC_PAPER=en_US.UTF-8       LC_NAME=C
 [9] LC_ADDRESS=C               LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C

time zone: Etc/UTC
tzcode source: system (glibc)

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

other attached packages:
[1] xcms_4.0.2          MSnbase_2.28.1      ProtGenerics_1.34.0
[4] S4Vectors_0.40.2    mzR_2.36.0          Rcpp_1.0.11
[7] Biobase_2.62.0      BiocGenerics_0.48.1 BiocParallel_1.36.0

loaded via a namespace (and not attached):
 [1] bitops_1.0-7                rlang_1.1.1
 [3] magrittr_2.0.3              clue_0.3-65
 [5] MassSpecWavelet_1.68.0      matrixStats_1.2.0
 [7] compiler_4.3.2              callr_3.7.3
 [9] vctrs_0.6.4                 pkgconfig_2.0.3
[11] MetaboCoreUtils_1.11.1      crayon_1.5.2
[13] XVector_0.42.0              utf8_1.2.4
[15] ps_1.7.5                    preprocessCore_1.64.0
[17] MultiAssayExperiment_1.28.0 zlibbioc_1.48.0
[19] GenomeInfoDb_1.38.7         progress_1.2.3
[21] DelayedArray_0.28.0         parallel_4.3.2
[23] prettyunits_1.2.0           cluster_2.1.4
[25] R6_2.5.1                    RColorBrewer_1.1-3
[27] limma_3.58.1                GenomicRanges_1.54.1
[29] SummarizedExperiment_1.32.0 iterators_1.0.14
[31] IRanges_2.36.0              igraph_2.0.2
[33] Matrix_1.6-5                splines_4.3.2
[35] tidyselect_1.2.1            abind_1.4-5
[37] doParallel_1.0.17           codetools_0.2-19
[39] affy_1.80.0                 curl_5.1.0
[41] processx_3.8.2              pkgbuild_1.4.2
[43] lattice_0.22-5              tibble_3.2.1
[45] plyr_1.8.9                  withr_2.5.1
[47] desc_1.4.2                  survival_3.5-7
[49] Spectra_1.12.0              pillar_1.9.0
[51] affyio_1.72.0               BiocManager_1.30.22
[53] MatrixGenerics_1.14.0       foreach_1.5.2
[55] MALDIquant_1.22.2           ncdf4_1.22
[57] generics_0.1.3              rprojroot_2.0.3
[59] xopen_1.0.0                 RCurl_1.98-1.14
[61] hms_1.1.3                   ggplot2_3.5.0
[63] munsell_0.5.0               scales_1.3.0
[65] MsExperiment_1.4.0          glue_1.6.2
[67] MsFeatures_1.10.0           lazyeval_0.2.2
[69] tools_4.3.2                 mzID_1.40.0
[71] robustbase_0.99-2           QFeatures_1.12.0
[73] vsn_3.70.0                  RANN_2.6.1
[75] fs_1.6.3                    XML_3.99-0.16.1
[77] grid_4.3.2                  impute_1.76.0
[79] MsCoreUtils_1.15.1          colorspace_2.1-0
[81] GenomeInfoDbData_1.2.11     cli_3.6.1
[83] rcmdcheck_1.4.0             fansi_1.0.5
[85] S4Arrays_1.2.1              dplyr_1.1.4
[87] AnnotationFilter_1.26.0     pcaMethods_1.94.0
[89] gtable_0.3.4                DEoptimR_1.1-3
[91] digest_0.6.33               SparseArray_1.2.4
[93] multtest_2.58.0             lifecycle_1.0.3
[95] statmod_1.5.0               MASS_7.3-60


Johannes Rainer, PhD

Eurac Research
Institute for Biomedicine
Via A.-Volta 21, I-39100 Bolzano, Italy

email: johannes.rai...@eurac.edu
github: jorainer
mastodon: jorai...@fosstodon.org

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