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