Installation

You can install tidymass from GitLab

if(!require(remotes)){
install.packages("remotes")
}
remotes::install_gitlab("tidymass/tidymass")

or GitHub

remotes::install_github("tidymass/tidymass")

Check versions of all the packages in tidymass

Update packages in tidymass

tidymass::update_tidymass()

Session information

sessionInfo()
#> R version 4.2.1 (2022-06-23)
#> Platform: x86_64-apple-darwin17.0 (64-bit)
#> Running under: macOS Big Sur ... 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] grid      stats4    stats     graphics  grDevices utils     datasets 
#> [8] methods   base     
#> 
#> other attached packages:
#>  [1] metid_1.2.24          metpath_1.0.2         ggraph_2.0.5         
#>  [4] tidygraph_1.2.1       ComplexHeatmap_2.12.1 mixOmics_6.20.0      
#>  [7] lattice_0.20-45       MASS_7.3-57           massstat_1.0.3       
#> [10] tidyr_1.2.0           ggfortify_0.4.14      massqc_1.0.5         
#> [13] masscleaner_1.0.6     xcms_3.18.0           MSnbase_2.22.0       
#> [16] ProtGenerics_1.28.0   S4Vectors_0.34.0      mzR_2.30.0           
#> [19] Rcpp_1.0.8.3          Biobase_2.56.0        BiocGenerics_0.42.0  
#> [22] BiocParallel_1.30.3   massprocesser_1.0.5   dplyr_1.0.9          
#> [25] ggplot2_3.3.6         magrittr_2.0.3        masstools_1.0.8      
#> [28] massdataset_1.0.18    tidymass_1.0.6       
#> 
#> loaded via a namespace (and not attached):
#>   [1] ragg_1.2.2                  missForest_1.5             
#>   [3] knitr_1.39                  DelayedArray_0.22.0        
#>   [5] data.table_1.14.2           rpart_4.1.16               
#>   [7] KEGGREST_1.36.2             RCurl_1.98-1.7             
#>   [9] doParallel_1.0.17           generics_0.1.3             
#>  [11] preprocessCore_1.58.0       RANN_2.6.1                 
#>  [13] proxy_0.4-27                future_1.26.1              
#>  [15] tzdb_0.3.0                  ggsci_2.9                  
#>  [17] SummarizedExperiment_1.26.1 assertthat_0.2.1           
#>  [19] viridis_0.6.2               xfun_0.31                  
#>  [21] hms_1.1.1                   jquerylib_0.1.4            
#>  [23] evaluate_0.15               DEoptimR_1.0-11            
#>  [25] fansi_1.0.3                 progress_1.2.2             
#>  [27] readxl_1.4.0                igraph_1.3.2               
#>  [29] DBI_1.1.3                   htmlwidgets_1.5.4          
#>  [31] MsFeatures_1.4.0            rARPACK_0.11-0             
#>  [33] purrr_0.3.4                 ellipsis_0.3.2             
#>  [35] RSpectra_0.16-1             backports_1.4.1            
#>  [37] ggcorrplot_0.1.3            deldir_1.0-6               
#>  [39] MatrixGenerics_1.8.1        vctrs_0.4.1                
#>  [41] remotes_2.4.2               withr_2.5.0                
#>  [43] cachem_1.0.6                ggforce_0.3.3              
#>  [45] itertools_0.1-3             robustbase_0.95-0          
#>  [47] checkmate_2.1.0             prettyunits_1.1.1          
#>  [49] cluster_2.1.3               lazyeval_0.2.2             
#>  [51] crayon_1.5.1                ellipse_0.4.3              
#>  [53] pkgconfig_2.0.3             tweenr_1.0.2               
#>  [55] GenomeInfoDb_1.32.2         nnet_7.3-17                
#>  [57] rlang_1.0.5                 globals_0.15.1             
#>  [59] lifecycle_1.0.1             affyio_1.66.0              
#>  [61] extrafontdb_1.0             fastDummies_1.6.3          
#>  [63] MassSpecWavelet_1.62.0      cellranger_1.1.0           
#>  [65] randomForest_4.7-1.1        rprojroot_2.0.3            
#>  [67] polyclip_1.10-0             matrixStats_0.62.0         
#>  [69] rngtools_1.5.2              Matrix_1.4-1               
#>  [71] base64enc_0.1-3             GlobalOptions_0.1.2        
#>  [73] png_0.1-7                   viridisLite_0.4.0          
#>  [75] rjson_0.2.21                bitops_1.0-7               
#>  [77] Biostrings_2.64.0           doRNG_1.8.2                
#>  [79] shape_1.4.6                 stringr_1.4.1              
#>  [81] parallelly_1.32.0           robust_0.7-0               
#>  [83] readr_2.1.2                 jpeg_0.1-9                 
#>  [85] gridGraphics_0.5-1          scales_1.2.0               
#>  [87] memoise_2.0.1               plyr_1.8.7                 
#>  [89] zlibbioc_1.42.0             compiler_4.2.1             
#>  [91] RColorBrewer_1.1-3          pcaMethods_1.88.0          
#>  [93] clue_0.3-61                 rrcov_1.7-0                
#>  [95] cli_3.3.0                   affy_1.74.0                
#>  [97] XVector_0.36.0              listenv_0.8.0              
#>  [99] patchwork_1.1.1             pbapply_1.5-0              
#> [101] htmlTable_2.4.0             Formula_1.2-4              
#> [103] tidyselect_1.1.2            vsn_3.64.0                 
#> [105] stringi_1.7.8               textshaping_0.3.6          
#> [107] yaml_2.3.5                  latticeExtra_0.6-30        
#> [109] MALDIquant_1.21             ggrepel_0.9.1              
#> [111] sass_0.4.1                  tools_4.2.1                
#> [113] parallel_4.2.1              circlize_0.4.15            
#> [115] rstudioapi_0.14             MsCoreUtils_1.8.0          
#> [117] foreach_1.5.2               foreign_0.8-82             
#> [119] gridExtra_2.3               farver_2.1.1               
#> [121] mzID_1.34.0                 digest_0.6.29              
#> [123] BiocManager_1.30.18         GenomicRanges_1.48.0       
#> [125] ncdf4_1.19                  httr_1.4.3                 
#> [127] colorspace_2.0-3            XML_3.99-0.10              
#> [129] fs_1.5.2                    IRanges_2.30.0             
#> [131] splines_4.2.1               yulab.utils_0.0.5          
#> [133] pkgdown_2.0.6               graphlayouts_0.8.0         
#> [135] ggplotify_0.1.0             plotly_4.10.0              
#> [137] systemfonts_1.0.4           fit.models_0.64            
#> [139] jsonlite_1.8.0              Rdisop_1.56.0              
#> [141] corpcor_1.6.10              R6_2.5.1                   
#> [143] Hmisc_4.7-0                 pillar_1.7.0               
#> [145] htmltools_0.5.2             glue_1.6.2                 
#> [147] fastmap_1.1.0               class_7.3-20               
#> [149] codetools_0.2-18            pcaPP_2.0-1                
#> [151] mvtnorm_1.1-3               furrr_0.3.0                
#> [153] utf8_1.2.2                  bslib_0.3.1                
#> [155] tibble_3.1.7                zip_2.2.0                  
#> [157] openxlsx_4.2.5              Rttf2pt1_1.3.10            
#> [159] interp_1.1-2                survival_3.3-1             
#> [161] limma_3.52.2                rmarkdown_2.14             
#> [163] desc_1.4.1                  munsell_0.5.0              
#> [165] e1071_1.7-11                GetoptLong_1.0.5           
#> [167] GenomeInfoDbData_1.2.8      iterators_1.0.14           
#> [169] impute_1.70.0               reshape2_1.4.4             
#> [171] gtable_0.3.0                extrafont_0.18