chau: apply Chauvenet's criterion to find outliers
In williamcioffi/chf: c_ioffi h_elper f_unctions
chau R Documentation
apply Chauvenet's criterion to find outliers
Description
apply Chauvenet's criterion to find outliers
Usage
chau(y, threshold, na.rm = TRUE)
Arguments
y
a numeric vector time series
threshold
predetermined
na.rm
boolean defaults to TRUE for mean and sd
Value
a list of two vectors: outliers boolean vector where TRUE is the outliers and crit which are the critical values.
Examples
# make some data
y <- sin(1:100 / pi)
y[25] <- y[25]*3
chau(y, .5)
williamcioffi/chf documentation built on June 14, 2025, 10:05 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| chau | R Documentation |
apply Chauvenet's criterion to find outliers
Description
apply Chauvenet's criterion to find outliers
Usage
chau(y, threshold, na.rm = TRUE)
Arguments
y |
a numeric vector time series |
threshold |
predetermined |
na.rm |
boolean defaults to TRUE for |
Value
a list of two vectors: outliers boolean vector where TRUE is the outliers and crit which are the critical values.
Examples
# make some data
y <- sin(1:100 / pi)
y[25] <- y[25]*3
chau(y, .5)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.