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.
map.corr(data, from = "median", threshold = 0.3, r.name = FALSE)
$reliabilitySummary table
Dataframe
Datum point from which the distance is measured
"mean" Mean of each column
"median" Median of each column (default)
Threshold of correlation change to be noted on the map
Dropped points are shown in row name when TRUE
Dong-Joon Lim, PhD
dm.mahalanobis Distance measure using Mahalanobis distance
# Generate a sample dataframe
df <- data.frame(replicate(2, sample(0 : 100, 50)))
# go
map.corr(df)
Run the code above in your browser using DataLab