map.corr: Correlation mapping for reliability test

In DJL: Distance Measure Based Judgment and Learning

Correlation mapping for reliability test

Description

Implements a series of correlation analysis by dropping extreme data points one by one using Mahalanobis distance measure. Correlation reliability can be investigated with identified anchoring point(s). Correlation map as well as summary table is provided.

Usage

map.corr(data, from = "median", threshold = 0.3, r.name = FALSE)

Arguments

data	Dataframe
from	Datum point from which the distance is measured "mean" Mean of each column "median" Median of each column (default)
threshold	Threshold of correlation change to be noted on the map
r.name	Dropped points are shown in row name when TRUE

Value

$reliability

Summary table

Author(s)

Dong-Joon Lim, PhD

See Also

dm.mahalanobis Distance measure using Mahalanobis distance

Examples

# Generate a sample dataframe
df <- data.frame(replicate(2, sample(0 : 100, 50)))

# go
map.corr(df)

DJL documentation built on March 31, 2023, 9:05 p.m.