R/conflicts.R
massprocesser_conflicts.Rd
This function lists all the conflicts between packages in the massprocesser and other packages that you have loaded.
massprocesser_conflicts()
massprocesser_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.
massprocesser_conflicts()
#> ── Conflicts ────────────────────────────────────── massprocesser_conflicts() ──
#> ✖ stats4::AIC() masks stats::AIC()
#> ✖ stats4::BIC() masks stats::BIC()
#> ✖ BiocGenerics::IQR() masks stats::IQR()
#> ✖ ggplot2::Position() masks BiocGenerics::Position(), base::Position()
#> ✖ S4Vectors::aggregate() masks stats::aggregate()
#> ✖ MSnbase::all.equal() masks base::all.equal()
#> ✖ massdataset::apply() masks base::apply()
#> ✖ methods::body<-() masks base::body<-()
#> ✖ mzR::close() masks base::close()
#> ✖ stats4::coef() masks stats::coef()
#> ✖ massdataset::colMeans() masks BiocGenerics::colMeans(), base::colMeans()
#> ✖ massdataset::colSums() masks BiocGenerics::colSums(), base::colSums()
#> ✖ dplyr::collect() masks xcms::collect()
#> ✖ MSnbase::colnames<-() masks S4Vectors::colnames<-(), BiocGenerics::colnames<-(), base::colnames<-()
#> ✖ dplyr::combine() masks MSnbase::combine(), Biobase::combine(), BiocGenerics::combine()
#> ✖ S4Vectors::complete.cases() masks stats::complete.cases()
#> ✖ stats4::confint() masks stats::confint()
#> ✖ S4Vectors::cor() masks stats::cor()
#> ✖ S4Vectors::cov() masks stats::cov()
#> ✖ BiocGenerics::density() masks stats::density()
#> ✖ xcms::dirname() masks BiocGenerics::dirname(), base::dirname()
#> ✖ S4Vectors::end() masks BiocGenerics::end(), stats::end()
#> ✖ xcms::family() masks stats::family()
#> ✖ massdataset::filter() masks dplyr::filter(), stats::filter()
#> ✖ dplyr::first() masks S4Vectors::first()
#> ✖ dplyr::groups() masks xcms::groups()
#> ✖ S4Vectors::head() masks utils::head()
#> ✖ xcms::image() masks MSnbase::image(), BiocGenerics::image(), graphics::image()
#> ✖ xcms::integrate() masks stats::integrate()
#> ✖ massdataset::intersect() masks S4Vectors::intersect(), BiocGenerics::intersect(), base::intersect()
#> ✖ methods::kronecker() masks base::kronecker()
#> ✖ dplyr::lag() masks stats::lag()
#> ✖ stats4::logLik() masks stats::logLik()
#> ✖ BiocGenerics::mad() masks stats::mad()
#> ✖ S4Vectors::na.exclude() masks stats::na.exclude()
#> ✖ S4Vectors::na.omit() masks stats::na.omit()
#> ✖ stats4::nobs() masks stats::nobs()
#> ✖ xcms::plot() masks MSnbase::plot(), stats4::plot(), graphics::plot(), base::plot()
#> ✖ stats4::profile() masks stats::profile()
#> ✖ Rcpp::prompt() masks utils::prompt()
#> ✖ BiocGenerics::relist() masks utils::relist()
#> ✖ massdataset::rename() masks dplyr::rename(), S4Vectors::rename()
#> ✖ BiocGenerics::residuals() masks stats::residuals()
#> ✖ massdataset::rowMeans() masks BiocGenerics::rowMeans(), base::rowMeans()
#> ✖ massdataset::rowSums() masks BiocGenerics::rowSums(), base::rowSums()
#> ✖ MSnbase::scale() masks base::scale()
#> ✖ S4Vectors::sd() masks BiocGenerics::sd(), stats::sd()
#> ✖ xcms::sigma() masks stats::sigma()
#> ✖ xcms::smooth() masks MSnbase::smooth(), ProtGenerics::smooth(), stats::smooth()
#> ✖ xcms::split() masks MSnbase::split(), S4Vectors::split(), base::split()
#> ✖ S4Vectors::stack() masks utils::stack()
#> ✖ S4Vectors::start() masks BiocGenerics::start(), stats::start()
#> ✖ xcms::subset() masks S4Vectors::subset(), BiocGenerics::subset(), base::subset()
#> ✖ MSnbase::t() masks S4Vectors::t(), BiocGenerics::t(), base::t()
#> ✖ S4Vectors::tail() masks utils::tail()
#> ✖ MSnbase::trimws() masks base::trimws()
#> ✖ stats4::update() masks stats::update()
#> ✖ S4Vectors::var() masks BiocGenerics::var(), stats::var()
#> ✖ stats4::vcov() masks stats::vcov()
#> ✖ BiocGenerics::weights() masks stats::weights()
#> ✖ S4Vectors::window() masks stats::window()
#> ✖ S4Vectors::xtabs() masks BiocGenerics::xtabs(), stats::xtabs()