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library(tidymass)
#> Warning in fun(libname, pkgname): mzR has been built against a different Rcpp version (1.0.7)
#> than is installed on your system (1.0.8). This might lead to errors
#> when loading mzR. If you encounter such issues, please send a report,
#> including the output of sessionInfo() to the Bioc support forum at 
#> https://support.bioconductor.org/. For details see also
#> https://github.com/sneumann/mzR/wiki/mzR-Rcpp-compiler-linker-issue.
#> Registered S3 method overwritten by 'Hmisc':
#>   method       from      
#>   vcov.default fit.models
#> Warning: replacing previous import 'massdataset::mz_rt_match' by
#> 'masstools::mz_rt_match' when loading 'tidymass'
#> ── Attaching packages ─────────────────────────────────────── tidymass 0.99.6 ──
#>  massdataset   0.99.20      metpath       0.99.4 
#>  massprocesser 0.99.3       metid         1.2.4  
#>  masscleaner   0.99.7       masstools     0.99.5 
#>  massqc        0.99.7       dplyr         1.0.8  
#>  massstat      0.99.13      ggplot2       3.3.5
#> ── Conflicts ─────────────────────────────────────────── tidymass_conflicts() ──
#> x massdataset::apply()     masks base::apply()
#> x dplyr::collect()         masks xcms::collect()
#> x BiocGenerics::colMeans() masks massdataset::colMeans(), base::colMeans()
#> x BiocGenerics::colSums()  masks massdataset::colSums(), base::colSums()
#> x dplyr::combine()         masks MSnbase::combine(), Biobase::combine(), BiocGenerics::combine()
#> x dplyr::filter()          masks metpath::filter(), massdataset::filter(), stats::filter()
#> x dplyr::first()           masks S4Vectors::first()
#> x dplyr::groups()          masks xcms::groups()
#> x S4Vectors::intersect()   masks BiocGenerics::intersect(), massdataset::intersect(), base::intersect()
#> x dplyr::lag()             masks stats::lag()
#> x masstools::mz_rt_match() masks massdataset::mz_rt_match()
#> x dplyr::rename()          masks S4Vectors::rename(), massdataset::rename()
#> x BiocGenerics::rowMeans() masks massdataset::rowMeans(), base::rowMeans()
#> x BiocGenerics::rowSums()  masks massdataset::rowSums(), base::rowSums()

Session information

sessionInfo()
#> R Under development (unstable) (2022-01-11 r81473)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Big Sur/Monterey 10.16
#> 
#> Matrix products: default
#> BLAS:   /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRblas.0.dylib
#> LAPACK: /Library/Frameworks/R.framework/Versions/4.2/Resources/lib/libRlapack.dylib
#> 
#> locale:
#> [1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
#> 
#> attached base packages:
#> [1] stats4    stats     graphics  grDevices utils     datasets  methods  
#> [8] base     
#> 
#> other attached packages:
#>  [1] dplyr_1.0.7          masstools_0.99.1     metid_1.1.0         
#>  [4] metpath_0.0.1        massstat_0.0.1       ggfortify_0.4.14    
#>  [7] ggplot2_3.3.5        massqc_0.0.1         masscleaner_0.9.2   
#> [10] xcms_3.17.1          MSnbase_2.21.3       ProtGenerics_1.27.2 
#> [13] S4Vectors_0.33.10    mzR_2.29.1           Rcpp_1.0.7          
#> [16] Biobase_2.55.0       BiocGenerics_0.41.2  BiocParallel_1.29.10
#> [19] massprocesser_0.9.2  magrittr_2.0.1       tinytools_0.9.1     
#> [22] massdataset_0.99.1   tidymass_0.0.1      
#> 
#> loaded via a namespace (and not attached):
#>   [1] utf8_1.2.2                  tidyselect_1.1.1           
#>   [3] robust_0.6-1                htmlwidgets_1.5.4          
#>   [5] grid_4.2.0                  devtools_2.4.3             
#>   [7] munsell_0.5.0               codetools_0.2-18           
#>   [9] ragg_1.2.1                  preprocessCore_1.57.0      
#>  [11] future_1.23.0               withr_2.4.3                
#>  [13] colorspace_2.0-2            knitr_1.37                 
#>  [15] rstudioapi_0.13             robustbase_0.93-8          
#>  [17] listenv_0.8.0               mzID_1.33.0                
#>  [19] MatrixGenerics_1.7.0        GenomeInfoDbData_1.2.7     
#>  [21] polyclip_1.10-0             farver_2.1.0               
#>  [23] rprojroot_2.0.2             parallelly_1.30.0          
#>  [25] vctrs_0.3.8                 generics_0.1.1             
#>  [27] xfun_0.29                   itertools_0.1-3            
#>  [29] randomForest_4.6-14         R6_2.5.1                   
#>  [31] doParallel_1.0.16           GenomeInfoDb_1.31.1        
#>  [33] graphlayouts_0.8.0          clue_0.3-60                
#>  [35] MsCoreUtils_1.7.1           bitops_1.0-7               
#>  [37] cachem_1.0.6                gridGraphics_0.5-1         
#>  [39] DelayedArray_0.21.2         assertthat_0.2.1           
#>  [41] scales_1.1.1                ggraph_2.0.5               
#>  [43] gtable_0.3.0                globals_0.14.0             
#>  [45] affy_1.73.0                 processx_3.5.2             
#>  [47] tidygraph_1.2.0             rlang_0.4.12               
#>  [49] clisymbols_1.2.0            systemfonts_1.0.3          
#>  [51] GlobalOptions_0.1.2         lazyeval_0.2.2             
#>  [53] impute_1.69.0               broom_0.7.11               
#>  [55] BiocManager_1.30.16         yaml_2.2.1                 
#>  [57] modelr_0.1.8                stevedore_0.9.4            
#>  [59] crosstalk_1.2.0             backports_1.4.1            
#>  [61] MassSpecWavelet_1.61.0      usethis_2.1.5              
#>  [63] tools_4.2.0                 ggplotify_0.1.0            
#>  [65] affyio_1.65.0               ellipsis_0.3.2             
#>  [67] jquerylib_0.1.4             RColorBrewer_1.1-2         
#>  [69] proxy_0.4-26                sessioninfo_1.2.2          
#>  [71] plyr_1.8.6                  zlibbioc_1.41.0            
#>  [73] purrr_0.3.4                 RCurl_1.98-1.5             
#>  [75] prettyunits_1.1.1           ps_1.6.0                   
#>  [77] viridis_0.6.2               pbapply_1.5-0              
#>  [79] GetoptLong_1.0.5            SummarizedExperiment_1.25.3
#>  [81] massconverter_0.99.1        haven_2.4.3                
#>  [83] ggrepel_0.9.1               cluster_2.1.2              
#>  [85] fs_1.5.2                    furrr_0.2.3                
#>  [87] data.table_1.14.2           openxlsx_4.2.5             
#>  [89] circlize_0.4.14             reprex_2.0.1               
#>  [91] RANN_2.6.1                  pcaMethods_1.87.0          
#>  [93] mvtnorm_1.1-2               matrixStats_0.61.0         
#>  [95] pkgload_1.2.4               hms_1.1.1                  
#>  [97] patchwork_1.1.1             evaluate_0.14              
#>  [99] XML_3.99-0.8                leaflet_2.0.4.1            
#> [101] readxl_1.3.1                IRanges_2.29.1             
#> [103] gridExtra_2.3               shape_1.4.6                
#> [105] testthat_3.1.1              compiler_4.2.0             
#> [107] tibble_3.1.6                ncdf4_1.17                 
#> [109] crayon_1.4.2                htmltools_0.5.2            
#> [111] pcaPP_1.9-74                tzdb_0.2.0                 
#> [113] tidyr_1.1.4                 rrcov_1.6-0                
#> [115] lubridate_1.8.0             DBI_1.1.2                  
#> [117] tweenr_1.0.2                dbplyr_2.1.1               
#> [119] ComplexHeatmap_2.11.0       MASS_7.3-55                
#> [121] MsFeatures_1.3.0            Matrix_1.4-0               
#> [123] readr_2.1.1                 cli_3.1.0                  
#> [125] vsn_3.63.0                  igraph_1.2.6               
#> [127] parallel_4.2.0              GenomicRanges_1.47.6       
#> [129] forcats_0.5.1               pkgconfig_2.0.3            
#> [131] fit.models_0.64             pkgdown_2.0.1              
#> [133] plotly_4.10.0               MALDIquant_1.21            
#> [135] xml2_1.3.3                  foreach_1.5.1              
#> [137] ggcorrplot_0.1.3            bslib_0.3.1                
#> [139] missForest_1.4              XVector_0.35.0             
#> [141] rvest_1.0.2                 yulab.utils_0.0.4          
#> [143] callr_3.7.0                 stringr_1.4.0              
#> [145] digest_0.6.29               Biostrings_2.63.1          
#> [147] rmarkdown_2.11              cellranger_1.1.0           
#> [149] curl_4.3.2                  rjson_0.2.21               
#> [151] lifecycle_1.0.1             jsonlite_1.7.2             
#> [153] desc_1.4.0                  viridisLite_0.4.0          
#> [155] limma_3.51.2                fansi_1.0.0                
#> [157] pillar_1.6.4                ggsci_2.9                  
#> [159] lattice_0.20-45             pkgbuild_1.3.1             
#> [161] KEGGREST_1.35.0             fastmap_1.1.0              
#> [163] httr_1.4.2                  DEoptimR_1.0-10            
#> [165] remotes_2.4.2               glue_1.6.0                 
#> [167] zip_2.2.0                   png_0.1-7                  
#> [169] iterators_1.0.13            ggforce_0.3.3              
#> [171] class_7.3-20                stringi_1.7.6              
#> [173] sass_0.4.0                  textshaping_0.3.6          
#> [175] memoise_2.0.1               tidyverse_1.3.1            
#> [177] e1071_1.7-9