cp_aic_eta | R Documentation |
Calculates and plots the AIC and eta-squared statistics for diferent layer models based on a changepoint analysis using the mean and variance.
cp_aic_eta(data, m = 10, nl = 3)
data |
A data frame containing the location variable (depth or distance) in the first column, and the value of interest in the second column |
m |
The maximum number of breakpoints (# layers - 1) to look for |
nl |
The minimum number of points per layer to be considered |
The example data given is intended to show the structure needed for input data. The user should follow this structure, which in general corresponds with a data frame with a sequence in the first column and the observed/measured values in the second column
A ggplot and plotly objects showing the AIC and eta-squared statistics, and a data frame with all the data and possible layer models
cp_aic_eta(DPM_data, m = 10, nl = 3)
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