discPower: Discriminant Power

In DiscriMiner: Tools of the Trade for Discriminant Analysis

Description

Measures Discriminant Power of explanatory variables

Usage

  discPower(variables, group)

Arguments

variables	matrix or data frame with explanatory variables
group	vector or factor with group membership

Details

No missing values are allowed

Value

A data frame containing the following columns

correl_ratio	Correlation Ratios
wilks_lambda	Wilks Lambda
F_statistic	F-statistic
p_value	p-value of F-statistic

Author(s)

Gaston Sanchez

References

Tenenhaus M. (2007) Statistique. Dunod, Paris.

See Also

corRatio, FRatio

Examples

## Not run: 
  # bordeaux wines dataset
  data(bordeaux)

  # discriminant power
  dp = discPower(bordeaux[,2:5], bordeaux$quality)
  dp
  
## End(Not run)

Example output

            correl_ratio wilks_lambda F_statistic      p_value
temperature    0.6386046    0.3613954   27.389310 1.408416e-07
sun            0.6178571    0.3821429   25.060741 3.345802e-07
heat           0.4973118    0.5026882   15.334220 2.344932e-05
rain           0.3525374    0.6474626    8.439607 1.185298e-03

DiscriMiner documentation built on May 1, 2019, 10:32 p.m.