feature_to_t_values: Calculate test statistics for predictive accuracy of a...
In davidmacro/frog2features: Convert Frog Object (NLP-data) to Features

View source: R/functionsFeatureEvaluation.R View source: R/feature_evaluation.R

Calculate test statistics for predictive accuracy of a feature.

feature_to_t_values(dtable, dependents, feature, controls = NULL,
  family = binomial(link = "logit"))

feature_to_t_values(dtable, dependents, feature, controls = NULL,
  family = binomial(link = "logit"))

`dtable`	A data.table object with dependents and features.
`dependents`	A vector denoting the names of the dependent variable(s).
`feature`	A vector denoting the name of the feature colomn.
`controls`	A character vector denoting the name of the control variables; if specified, tests statistics provide information on the incremental relevance of a feature given the controls.
`dtable`	A data.table object with dependents and features.
`dependents`	A vector denoting the names of the dependent variable(s).
`feature`	A vector denoting the name of the feature colomn.
`controls`	A character vector denoting the name of the control variables; if specified, tests statistics provide information on the incremental relevance of a feature given the controls.