Estimate missing morphometric data with a highly correlated variable

Description

Estimates missing morphometric using regression on the most highly correlated morphological variable available

Usage

1

Arguments

x

A n X m matrix of morphometric data with n specimens and m variables, containing some percentage of missing values input as NA

Value

Returns a n X m matrix containing both the original morphometric values as well as estimates for all previously missing values.

Author(s)

J. Arbour and C. Brown

References

Brown, C., Arbour, J. and Jackson, D. 2012. Testing of the Effect of Missing Data Estimation and Distribution in Morphometric Multivariate Data Analyses. Systematic Biology 61(6):941-954.

See Also

est.reg