View source: R/plotting.geoChronR.R
quantile2d | R Documentation |
Determine quantiles across ensembles of x and/or y, as a function of x, using interpolation
quantile2d(
x,
y,
n.bins = 500,
x.bin = NA,
probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
n.ens = max(c(ncol(x), ncol(y))),
seed = 111,
limit.outliers.x = 0.0025
)
x |
n by m matrix where n is the number of observations and m is >= 1 |
y |
n by j matrix where n is the number of observations and j is >= 1 |
n.bins |
number bins over which to calculate intervals. Used to calculate x.bin if not provided. |
x.bin |
vector of bin edges over which to bin. |
probs |
quantiles to calculate |
n.ens |
how many ensemble members? |
seed |
set a seed for reproducibility |
limit.outliers.x |
limit the plotting of outliers on the x axis to exclude values below this probability limit (default = 0.025) |
list of quantiles and x.bin
Nick McKay
Other plot help:
AD2BP_trans()
,
BP2AD_trans()
,
axisLabel()
,
bin2d()
,
geoChronRPlotTheme()
,
getLegend()
,
getPlotRanges()
,
kde2d()
,
meltDistributionTable()
,
modeSelektor()
,
periodAnnotate()
,
reverselog10_trans()
Other gridding:
bin2d()
,
kde2d()
## Not run:
quantiles <- quantile2d(ageEnsemble,paleoEnsemble)
## End(Not run)
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