ind_uni {bulkQC}

Identifies individual univariate outliers

Description

Discovers potential individual univariate outliers by identifying and returning those observations outside of the whiskers on a boxplot

Usage

ind_uni(d0, exclude = c("pid", "site"), n_uniq = 10, m = 1.5)

Arguments

d0

A data frame with columns as variables and rows as observations

exclude

A vector of names of variables to exclude in outlier identification

n_uniq

Number of unique observations of a variable needed for outlier identification to be performed

m

A multiplier on the interquartile range (IQR) to flag outliers that are mult*IQR less than Q1 or mult*IQR greater than Q3; default is 1.5

Value

nID

The number of observations evaluated

nVar

The number of variables evaluated

data

A data frame containing those observations deemed to be potential outliers that appends the outliers with the excluded variables to aid in interpretation

References

Tukey J. Exploratory Data Analysis. 1st edition. Reading, Mass: Pearson; 1977. 712 p.

See Also

getOutliers

Examples

data(iris)
iris2 = iris
iris2$pid = 1:dim(iris2)[1]
ind_uni(iris2, exclude=c("pid", "Species"), m=1.5)
ind_uni(iris2, exclude=c("pid", "Species"), m=3)