HotLoadings.top_features: Select top features

In mcalgaro93/HotLoadings: HotLoadings: a fancy way to plot mixOmics loadings and heatmaps

Description

Select top features

Usage

HotLoadings.top_features(
  data.splsda,
  feature_names,
  component = c("comp 1"),
  Y_name,
  n_top = 15,
  offset = 0.005,
  order = TRUE
)

Arguments

data.splsda	A sPLS-DA object from mixomics.
feature_names	A character vector containing feature names.
component	A character string containing sPLS-DA's component name.
Y_name	A character string indicating which is the variable associated with component specified. Must be a dicothomous variable.
n_top	An integer number indicating how many top associated features to keep. (Default = 15)
offset	A value indicating the amount of justification from axis for possible plots. (Default = 0.005)
order	A boolean value indicating if the loadings should be separately ordered by positives and negatives (Default = TRUE). If FALSE loadings are ordered using their absolute value.

Value

A data frame containings n_top feature associated with component with information about interesting Y_name variable.

See Also

HotLoadings.names for extraction of feature_names

mcalgaro93/HotLoadings documentation built on June 13, 2021, 10:01 p.m.