identify_outliers: Identify outliers and suitable replacement values
In reichlab/covidData: Versioned Data for COVID-19
View source: R/identify_outliers.R
identify_outliers R Documentation
Identify outliers and suitable replacement values
Description
Identify outliers and suitable replacement values
Usage
identify_outliers(
data,
methods = data.frame(method = c(rep("weekly_extrema_loess_loo", 3)), transform =
c("none", "sqrt", "log"), ),
voting_scheme = "majority",
max_iter = 100,
include_outliers_by_method = TRUE
)
Arguments
data
time series data frame for one location with at minimum columns
location, date and inc
Value
data frame with columns date and inc with only rows for
detected outliers.
reichlab/covidData documentation built on April 5, 2024, 5 p.m.
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View source: R/identify_outliers.R
| identify_outliers | R Documentation |
Identify outliers and suitable replacement values
Description
Identify outliers and suitable replacement values
Usage
identify_outliers(
data,
methods = data.frame(method = c(rep("weekly_extrema_loess_loo", 3)), transform =
c("none", "sqrt", "log"), ),
voting_scheme = "majority",
max_iter = 100,
include_outliers_by_method = TRUE
)
Arguments
data |
time series data frame for one location with at minimum columns
|
Value
data frame with columns date and inc with only rows for
detected outliers.
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.
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