rank_ensemble: Rank of Observation
In JuGross/ensAR: Autoregressive postprocessing methods for ensemble forecasts
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Computes the rank of an observation
among the corresponding ensemble forecasts.
Usage
1
rank_ensemble(ens, obs_col, mem_col)
Arguments
ens
A data frame with one observation column and at least
one forecast column.
obs_col
The observation column.
mem_col
The column(s) of the forecast members(s).
Details
Ranks are computed with rank and
ties.method = 'first'.
Value
A vector of the same length as rows of ens.
Author(s)
J. Gross, A. Moeller.
Examples
1
2
x <- rank_ensemble(Magdeburg, obs_col = 6, mem_col = 7:56)
table(x)
JuGross/ensAR documentation built on May 10, 2019, 8:23 a.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Computes the rank of an observation among the corresponding ensemble forecasts.
Usage
1 | rank_ensemble(ens, obs_col, mem_col)
|
Arguments
ens |
A data frame with one observation column and at least one forecast column. |
obs_col |
The observation column. |
mem_col |
The column(s) of the forecast members(s). |
Details
Ranks are computed with rank and
ties.method = 'first'.
Value
A vector of the same length as rows of ens.
Author(s)
J. Gross, A. Moeller.
Examples
1 2 | x <- rank_ensemble(Magdeburg, obs_col = 6, mem_col = 7:56)
table(x)
|
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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