Description Usage Arguments Details Value Functions
View source: R/outlierDetection.R
Identify outliers in numeric vector.
1 2 3 4 5 | isOutlier(x, method = "iqr", na.rm = F, ...)
iqrOutlier(x, val = 3, na.rm = F, ...)
ptileOutlier(x, inner_perc = 0.995, na.rm = F, ...)
|
x |
Numeric vector of values |
method |
String indicating method of outlier detection. Values supported are |
na.rm |
Logical value indicating whether NA values should be removed. |
val |
Numeric value which is multiplied by IQR to identify outlier boundary. |
inner_perc |
Numeric value between 0 and 1 indicating inner percentile of data. |
Outlier detection methods include inner quartile range test and a simple upper and lower percentile identification.
Logical vector of values
iqrOutlier
: Innerquartile range method for identifying outliers.
ptileOutlier
: Inner percentile method for identifying outliers.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.