Create dataframe of simulation results

Convert simulation results to a dataframe. The first column is time, followed by all stocks, and then all other auxiliary and flow variables.

Usage

# S3 method for class 'sdbuildR_sim'
as.data.frame(x, row.names = NULL, optional = FALSE, direction = "long", ...)

Arguments

x

Output of simulate().

row.names

NULL or a character vector giving the row names for the data frame. Missing values are not allowed.

optional

Ignored parameter.

direction

Format of dataframe, either "long" (default) or "wide".

...

Optional parameters

Value

Dataframe with simulation results

See also

simulate(), xmile()

Other build: as.data.frame.sdbuildR_xmile(), build(), debugger(), find_dependencies(), get_build_code(), header(), macro(), plot.sdbuildR_xmile(), print.summary.sdbuildR_xmile(), summary.sdbuildR_xmile(), xmile()

Examples

sfm <- xmile("SIR")
sim <- simulate(sfm)
df <- as.data.frame(sim)
head(df)
#>   time variable    value
#> 1 0.00 Infected 1.000000
#> 2 0.01 Infected 1.015000
#> 3 0.02 Infected 1.030225
#> 4 0.03 Infected 1.045678
#> 5 0.04 Infected 1.061363
#> 6 0.05 Infected 1.077283

# Get results in wide format
df_wide <- as.data.frame(sim, direction = "wide")
head(df_wide)
#>   time Infected  Recovered Susceptible
#> 1 0.00 1.000000 0.00000000    99999.00
#> 2 0.01 1.015000 0.00500000    99998.98
#> 3 0.02 1.030225 0.01007500    99998.96
#> 4 0.03 1.045678 0.01522612    99998.94
#> 5 0.04 1.061363 0.02045451    99998.92
#> 6 0.05 1.077283 0.02576132    99998.90