outvalues: Find out NAs and outliers in a variable(column)

In haozhu233/ifaR.handtools: A collection of reusable R functions used in clinical research

Description

This function will find out missing values and outliers in a certain variable in a dataset. Outliers are defined as mean +- iqrband * interquartile range (IQR). Values exceed the min and max will also be marked as outliers.

Usage

outvalues(dataset, variable, iqrband=2, min=NULL, max=NULL, type=8)

Arguments

dataset	Name of the dataset
variable	Name of the variable.It should be entered as a character. For example, "BMI".
iqrband	The multiplier of IQR. Pick 3 for the very end extreme values. Pick 2 to be more inclusive
min	The smallest value that will not be determined as outliers
max	The largest value that will not be determined as outliers
type	An integer between 1 and 9 selecting one of the nine quantile algorithms detailed below to be used.

Value

This function will return a new dataset with the first column as subject/study ID and the second column as the outlying status of the input variable. Missing values will be displayed as NA. The actual values for those outliers will be displayed.

Examples

outvalues(baseline, "BMI") # default iqrband=2
outvalues(baseline, "BMI", iqrband=3, min=15, max=35, type=8)

haozhu233/ifaR.handtools documentation built on May 17, 2019, 2:30 p.m.