This function lists all the conflicts between packages in the tidymass and other packages that you have loaded.

tidymass_conflicts()

Details

There are four conflicts that are deliberately ignored: intersect, union, setequal, and setdiff from dplyr. These functions make the base equivalents generic, so shouldn't negatively affect any existing code.

Examples

tidymass_conflicts()
#> ── Conflicts ─────────────────────────────────────────── tidymass_conflicts() ──
#>  ComplexHeatmap::Heatmap() masks massstat::Heatmap()
#>  massdataset::apply()      masks base::apply()
#>  BiocGenerics::colMeans()  masks massdataset::colMeans(), base::colMeans()
#>  BiocGenerics::colSums()   masks massdataset::colSums(), base::colSums()
#>  xcms::collect()           masks dplyr::collect()
#>  MSnbase::combine()        masks Biobase::combine(), BiocGenerics::combine(), dplyr::combine()
#>  tidyr::extract()          masks magrittr::extract()
#>  metid::filter()           masks metpath::filter(), tidygraph::filter(), dplyr::filter(), massdataset::filter(), stats::filter()
#>  S4Vectors::first()        masks dplyr::first()
#>  tidygraph::groups()       masks xcms::groups(), dplyr::groups()
#>  S4Vectors::head()         masks utils::head()
#>  S4Vectors::intersect()    masks BiocGenerics::intersect(), massdataset::intersect(), base::intersect()
#>  dplyr::lag()              masks stats::lag()
#>  mixOmics::pls()           masks massstat::pls()
#>  mixOmics::plsda()         masks massstat::plsda()
#>  Rcpp::prompt()            masks utils::prompt()
#>  BiocGenerics::relist()    masks utils::relist()
#>  tidygraph::rename()       masks S4Vectors::rename(), dplyr::rename(), massdataset::rename()
#>  BiocGenerics::rowMeans()  masks massdataset::rowMeans(), base::rowMeans()
#>  BiocGenerics::rowSums()   masks massdataset::rowSums(), base::rowSums()
#>  tidygraph::select()       masks MASS::select(), dplyr::select(), massdataset::select()
#>  S4Vectors::stack()        masks utils::stack()
#>  S4Vectors::tail()         masks utils::tail()