Map ensemble pca loadings and plot PC timeseries
plotPcaEns(
ens.pc.out,
TS,
map.type = "line",
which.pcs = c(1, 2),
f = 0.2,
high.color = "red",
low.color = "blue",
dot.size = 5,
restrict.map.range = TRUE,
shape.by.archive = TRUE,
projection = "mollweide",
bound.circ = TRUE,
probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
which.leg = 1,
legend.position = c(0.5, 0.5),
color
)results of pcaEns()
Timeseries object http://nickmckay.github.io/LiPD-utilities/r/index.html#what-is-a-time-series used in the pcaEns() analysis
"google" or "line"
vector of PCs to plot. Choose two. c(1,2) is default.
zoom buffer for plotting
color for the high end of the scale
color for the low end of the scale
How big are the dots on the map
TRUE or FALSE. Trim the size of the map to the points, for "line" map type
TRUE or FALSE. Use archiveType to assign shapes.
Map project. All options on: ?mapproject
For polar projects, draw a boundary circle? TRUE or FALSE
quantiles to calculate and plot in the PC timeseries
which map legend to include in the summary plot?
Where to put the map legend?
deprecated. Use high.color and low.color instead
A gridExtra ggplot object
Other plot:
plotChron(),
plotChronEns(),
plotChronEnsDiff(),
plotCorEns(),
plotHistEns(),
plotLine(),
plotModelDistributions(),
plotPvalsEnsFdr(),
plotRegressEns(),
plotScatterEns(),
plotScreeEns(),
plotSpectraEns(),
plotSpectrum(),
plotSummary(),
plotSummaryTs(),
plotTimeseriesEnsLines(),
plotTimeseriesEnsRibbons(),
plotTimeseriesStack(),
plotTrendLinesEns()
Other pca:
ar1Surrogates(),
createSyntheticTimeseries(),
pcaEns(),
plotScreeEns()