train_models: Train models on specified grouping variable.
In kleinschmidt/phondisttools: Tools for Analyzing Phonetic Cue Distributions

Grouping will be added to any grouping already present by default.

1	train_models(data, grouping, cues, add_groups = TRUE)

`data`	Data source with columns for grouping and "cues"
`grouping`	quoted column names to group by (strings, 'quote', or '~')
`cues`	quoted column names containing cues
`add_groups`	add 'grouping' to existing groups, or overwrite (default TRUE)

A data frame like for summarise, with columns for grouping factor, plus list columns 'data' (the matrix used to train the model) and 'model'. 'model$mu' is the mean, and 'model$Sigma' is the covariance matrix. If 'add_groups==TRUE', original grouping will be maintained.

kleinschmidt/phondisttools documentation built on May 20, 2019, 5:57 p.m.