as.data.frame {pomp} | R Documentation |
All pomp model objects can be recast as data frames. The contents of the resulting data frame depend on the nature of the object.
## S3 method for class 'pomp' as.data.frame(x, ...) ## S3 method for class 'pfilterd_pomp' as.data.frame(x, ...) ## S3 method for class 'probed_pomp' as.data.frame(x, ...) ## S3 method for class 'kalmand_pomp' as.data.frame(x, ...) ## S3 method for class 'bsmcd_pomp' as.data.frame(x, ...) ## S3 method for class 'pompList' as.data.frame(x, ...) ## S3 method for class 'pfilterList' as.data.frame(x, ...) ## S3 method for class 'abcList' as.data.frame(x, ...) ## S3 method for class 'mif2List' as.data.frame(x, ...) ## S3 method for class 'pmcmcList' as.data.frame(x, ...) ## S4 method for signature 'pomp' melt(data, ..., na.rm = FALSE, value.name = "value")
x |
any R object. |
... |
additional arguments to be passed to or from methods. |
data |
Data set to melt |
na.rm |
Should NA values be removed from the data set? This will convert explicit missings to implicit missings. |
value.name |
name of variable used to store values |
When object
is a simple ‘pomp’ object,
as(object,"data.frame")
or as.data.frame(object)
results in a
data frame with the times, observables, states (if known), and
interpolated covariates (if any).
When object
is a ‘pfilterd_pomp’ object,
coercion to a data frame results in a data frame with the same content as for a simple ‘pomp’,
but with conditional log likelihood and effective sample size estimates included.
When object
is a ‘probed_pomp’ object,
coercion to a data frame results in a data frame with the values of the probes computed on the data and on simulations.
When object
is a ‘kalmand_pomp’ object,
coercion to a data frame results in a data frame with prediction means, filter means and forecasts, in addition to the data.
When object
is a ‘bsmcd_pomp’ object,
coercion to a data frame results in a data frame with samples from the prior and posterior distribution.
The .id
variable distinguishes them.
A ‘pomp’ object can be melted into a data frame.