map.corr {DJL} | R Documentation |
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 |
threshold |
Threshold of correlation change to be noted on the map |
r.name |
Dropped points are shown in row name when |
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)
[Package DJL version 3.9 Index]