Mahalanobis distance to detect bivariate outliers

outliersMD(x, y, alpha = 0.001)

Arguments

x

Numeric vector

y

Numeric vector

alpha

Critical alpha value to detect and outlier (defaults to 0.001)

Value

A logical vector (TRUE for an outlier at p < alpha)

Examples

# Use outliersMD() to detect outliers in an anthropometric data from # a SMART survey from the Democratic Republic of Congo (sp.ex01) svy <- sp.ex01 svy[outliersMD(svy$height,svy$weight), ]
#> age sex weight height muac oedema #> 1 54 1 20.5 111.5 180 2 #> 6 48 2 18.6 95.3 171 1 #> 16 30 1 16.9 92.5 188 2 #> 62 55 1 15.1 118.0 156 2 #> 66 56 1 15.0 115.0 148 2