View source: R/lipd.manipulation.R
alignTimeseriesBin | R Documentation |
Use this to put two timeseries on different timesteps onto equivalent bins
alignTimeseriesBin(
time.1,
values.1,
time.2,
values.2,
bin.vec = NA,
bin.step = NA,
bin.fun = mean,
max.ens = NA,
min.obs = 10
)
time.1 |
matrix of age/time ensembles, or single column |
values.1 |
matrix of values ensembles, or single column |
time.2 |
matrix of age/time ensembles, or single column |
values.2 |
matrix of values ensembles, or single column |
bin.vec |
vector of bin edges for binning step |
bin.step |
spacing of bins, used to build bin step |
bin.fun |
function to use during binning (mean, sd, and sum all work) |
max.ens |
maximum number of ensemble members to regress |
min.obs |
minimum number of points required to calculate regression |
list of binned data output:
binX: binned values from X
binY: binned values from Y
bin.step: interval of the binning
yearBins: bins along time
Nick McKay
Other bin:
bin()
,
bin2d()
,
binEns()
,
binTs()
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