cp_aic_eta: Changepoint analysis of different layer models
In maxgav13/GMisc: Miscellaneous Functions for Geology (and its areas)
cp_aic_eta R Documentation
Changepoint analysis of different layer models
Description
Calculates and plots the AIC and eta-squared statistics for diferent layer models based on a changepoint analysis using the mean and variance.
Usage
cp_aic_eta(data, m = 10, nl = 3)
Arguments
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
Details
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
Value
A ggplot and plotly objects showing the AIC and eta-squared statistics, and a data frame with all the data and possible layer models
Examples
cp_aic_eta(DPM_data, m = 10, nl = 3)
maxgav13/GMisc documentation built on June 12, 2022, 3:48 a.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.
| cp_aic_eta | R Documentation |
Changepoint analysis of different layer models
Description
Calculates and plots the AIC and eta-squared statistics for diferent layer models based on a changepoint analysis using the mean and variance.
Usage
cp_aic_eta(data, m = 10, nl = 3)
Arguments
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 |
Details
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
Value
A ggplot and plotly objects showing the AIC and eta-squared statistics, and a data frame with all the data and possible layer models
Examples
cp_aic_eta(DPM_data, m = 10, nl = 3)
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.