calcGapCutoff: Calculates the empirical cumulative distribution function.
In bocinsky/guedesbocinsky2018: Research Compendium for d'Alpoim Guedes and Bocinsky (2018)
Description
Usage
Arguments
Value
View source: R/calcGapCutoff.R
Description
This function calculates the empirical cumulative distribution function,
then uses a user-defined probability level to calculate the "normal" gap length.
That way, GHCN records (years) with unusually long gap lengths may be discarded.
Usage
1
calcGapCutoff(rleVector, pLevel = 0.95)
Arguments
rleVector
the RLE vector
pLevel
a p level
Value
The cutoff value
bocinsky/guedesbocinsky2018 documentation built on May 3, 2019, 8:59 p.m.
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Description Usage Arguments Value
View source: R/calcGapCutoff.R
Description
This function calculates the empirical cumulative distribution function, then uses a user-defined probability level to calculate the "normal" gap length. That way, GHCN records (years) with unusually long gap lengths may be discarded.
Usage
1 | calcGapCutoff(rleVector, pLevel = 0.95)
|
Arguments
rleVector |
the RLE vector |
pLevel |
a p level |
Value
The cutoff value
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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