sweq_as_df: from sweq_simulate to data_frame
In robertsy/assimilr: Local Ensemble Kalman Particle Filters
Description
Usage
Arguments
Examples
View source: R/dynamics_sweq.R
Description
take a state object from a sweq_simulate list and return a nice data frame
Usage
1
sweq_as_df(state, field_names = c("fluid height", "rain content", "wind"))
Arguments
state
as in sweq_simulate$state.ts
field
names to assign
Examples
1
2
3
4
5
6
sweq.run <- sweq_simulate(1, 60, 168)
ens0 <- sweq_ens0(40, sweq.run)
state_df <- sweq_as_df(sweq.run$state.ts[1,])
ens_df <- sweq_as_df(ens0)
#test:
all.equal(ens0[,1], filter(ens_df, ensemble=='ens_1')$value)
robertsy/assimilr documentation built on May 27, 2019, 10:33 a.m.
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Description Usage Arguments Examples
View source: R/dynamics_sweq.R
Description
take a state object from a sweq_simulate list and return a nice data frame
Usage
1 | sweq_as_df(state, field_names = c("fluid height", "rain content", "wind"))
|
Arguments
state |
as in sweq_simulate$state.ts |
field |
names to assign |
Examples
1 2 3 4 5 6 | sweq.run <- sweq_simulate(1, 60, 168)
ens0 <- sweq_ens0(40, sweq.run)
state_df <- sweq_as_df(sweq.run$state.ts[1,])
ens_df <- sweq_as_df(ens0)
#test:
all.equal(ens0[,1], filter(ens_df, ensemble=='ens_1')$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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