summary.trendbreaker: Summary for trendbreaker outputs

In reconhub/epichange: Detect Changes in Temporal Trends

Description

Summary for trendbreaker outputs

Usage

## S3 method for class 'trendbreaker'
summary(object, ...)

## S3 method for class 'trendbreaker_incidence2'
summary(object, ...)

Arguments

object	the trendbreaker object to summarise
...	further arguments to be passed to other functions (currently ignored)

Value

a data.frame containing the following colums:

• n_recent: number of data points in recent set

• n_recent_increases: number of recent increases

• n_recent_decreases: number of recent decreases

• n_recent_outliers: number of recent outliers

• p_recent_outliers: the binomial p-value for the number of recent outliers

• n_training: number of data points in training set

• n_training_increases: number of increases in training set

• n_training_decreases: number of decreases in training set

• n_training_outliers: number of outliers in training set

• p_training_outliers: the binomial p-value for the number of outliers in the training set

Author(s)

Thhibaut Jombart

reconhub/epichange documentation built on April 28, 2021, 2 p.m.