Plots a layered model and summarizes the statistics for each layer from a Strucchange result

Given a number of breakpoints, plots a layered model of one variable against distance, plots the confidence intervals for each layer, and gives a summary table.

sc_layers(x, h = 0.1, breaks, conf.level = 0.95)

Arguments

x	A data frame containing the location variable (depth or distance) in the first column, and the value of interest in the second column
h	Percent of data points per layer
breaks	An integer giving the number of breakpoints to use (from 'Strucchange')
conf.level	Confidence level to use for plot and summary statistics (Default is 0.95)

Value

A ggplot and plotly objects showing the layered model, another showing the confidence intervals, and a summary table

Examples

sc_layers(DPM_data, h = 0.1, breaks = 2)
#> $LayersGG
#> 
#> $LayersLY
#> 
#> $StatsGG
#> 
#> $StatsLY
#> 
#> $Summary
#>   boundaries Obs  Mean    SD Min Max CI.lwr CI.upr   MoE
#> 1    [0,2.7]  28  4.96 2.190   0  10   4.12   5.81 0.849
#> 2  (2.7,8.7]  60  8.08 1.150   6  11   7.79   8.38 0.297
#> 3   (8.7,10]  13 10.70 0.855  10  12  10.20  11.20 0.517
#> 
#> $ES
#> [1] 0.606
#>