Creates a suite of plots to characterize the results of an ensemble regression.
plotRegressEns(
reg.ens,
alp = 0.2,
quantiles = c(0.025, 0.5, 0.975),
font.size = 10
)output of regressEns()
Transparency of the scatter plot.
quantiles to calculate and plot
Font size
A list of ggplot objects
YPlot - ribbon plot of the prectictand timeseries over the interval of overlap
XPlot - ribbon plot of the predictor timeseries over the interval of overlap
scatterplot - ensemble scatter plot of the predictor and predictand timeseries over the interval of overlap
mHist - distribution of ensemble regression slopes
bHist - distribution of ensemble regression intercepts
modeledYPlot - ribbon plot of values modeled by the ensemble regression, incorporating age uncertainty in both the regression and the predictor timeseries
summaryPlot - grid.arrange object of all the regression plots
Other plot:
plotChron(),
plotChronEns(),
plotChronEnsDiff(),
plotCorEns(),
plotHistEns(),
plotLine(),
plotModelDistributions(),
plotPcaEns(),
plotPvalsEnsFdr(),
plotScatterEns(),
plotScreeEns(),
plotSpectraEns(),
plotSpectrum(),
plotSummary(),
plotSummaryTs(),
plotTimeseriesEnsLines(),
plotTimeseriesEnsRibbons(),
plotTimeseriesStack(),
plotTrendLinesEns()
Other regress:
plotScatterEns(),
plotTrendLinesEns(),
regress(),
regressEns()