Description Usage Format Details Fields Public Methods Definition Examples
Represents a model simulation output obtained with the
sdSimulate
function.
It contains the output trajectory, the auxiliary equations
trajectory, the input time series variables trajectory, the simulation
diagnostics and the postProcess function return value.
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An object of class R6ClassGenerator
of length 24.
It has methods for saving the output, graphically visualizing the stored
trajectories
($plot()
) and for summarizing the trajectories ($summary()
).
outputId
The output id, generated in the initialization as: "Simulation Output " + Sys.time().
model
The model simulated. A sdStaticModelClass
, a
sdModelClass
or a sdCoupledModelClass
object.
scenario
The sdScenarioClass
object used in the
simulation, if any.
outTrajectory
In case of a sdStaticModelClass
:
a data.frame
with the algebraic equations trajectories of the simulation. This data.frame
have up to as many rows as elements in the time sequence and as many columns
as variables in the eq
list plus an additional column (the first) for
the time sequence values. The names of the eq
list will be
used to label the columns of the algebraic equations data.frame.
In case of a sdModelClass
or a
sdCoupledModelClass
: a
data.frame with the ODE output of the simulation. This data.frame have up to
as many rows as elements in the time sequence and as many columns as
variables in the state
list plus the number of auxiliary values
returned in the second and following elements of the return list from
DifferentialEquations
, plus an additional column (the first) for the
time sequence values. There will be one row for each element in times unless
the integrator returns with an unrecoverable error.
If the state
list and the auxiliary values have a names attribute,
they will be used to label the columns of the output data.frame.
auxTrajectory
Just in case of a sdModelClass
or a
sdCoupledModelClass
:
A data.frame with the auxiliary equations trajectories
of the simulation. This data.frame have up to as many rows as elements in the
time sequence and as many columns as variables in the aux
list plus an
additional column (the first) for the time sequence values. The
names of the aux
list will be used to label the columns of the
auxiliary equations data.frame.
timeSeriesTrajectory
A data.frame with the time series variables
simulation trajectories. This data.frame have up to as many rows as elements
in the time sequence and as many columns as variables in the
interpolation_
list plus an additional column (the first) for the
time sequence values. The names of the input
time series variables
will be used to label the columns of the time series data.frame.
diagnostics
A string with the simulation diagnostics, e.g.
number of steps taken, the last step size, root informations, etc. See
diagnostics
for more informations.
postProcess
The return value of the model
PostProcessVars
function.
$print()
Print the last 10 rows of the data.frames trajectories.
$summary()
Print the data.frame trajectories summary.
$plot(..., xlab = NULL, ylab = NULL, main = NULL, sub = NULL,
type = "l", maxRow = 2, maxCol = 2, plotSymbol = 1, symbolSize = 2.5,
legendPosition = "topright", multipleYAxis = F, units = T,
col = c("black", "red", "blue", "green4", "darkorange", "darkmagenta",
"khaki4", "cyan", "gold2", "hotpink"))
Plot the formulas given in the ... argument using the data.frames trajectories.
Arguments
A list of strings with each element describing a formula with the variables to plot.
The formulas must follow the standard: "y"
, "y1 y2 yn"
,
"y ~ x"
or "y1 y2 yn ~ x"
.
Where yn
are the n variables names to be plotted in the y-axis,
separated by a white space, or a single y
variable name;
the symbol ~
is the separator to be used in the formulas when passing
the x variable;
and x
is the name of the variable to be plotted in the x-axis, by
default the simulation time sequence will be used in the x-axis and no
variable name need to be informed (e.g. omitting "~ x").
When plotting more than one variable in the y-axis consider using the argument
multipleYAxis = TRUE
.
A list with the labels for the plots x-axis. Must have the same length as the argument '...'.
A list with the labels for the plots y-axis. Must have the same
length as the argument '...'. In case of plotting multiple y variables and
setting multipleYAxis = TRUE
the corresponding elements of this list
must be a vector with the same length of y variables to be plotted (n).
A list with the overall titles for the plots. Must have the same length as the argument '...'.
A list with the sub titles for the plots. Must have the same length as the argument '...'.
What type of plot should be drawn. See plot
for the
available options. Default is 'l', for lines.
The number of rows in the plots layout. Default is 2.
The number of columns in the plots layout. Default is 2.
The line type (lty) or the character to be used in plotting
points (pch). See par
, the parameters
'lty' and 'pch', for the detailed information about the possible values and
their interpretation. Default is 1.
The line width, a positive number, defaulting to 2.5. The
interpretation is device-specific, and some devices do not implement line
widths less than one. (See the help on the device for details of the
interpretation and the help on par
for other
details in the parameter 'lwd'.)
A single keyword from the list "bottomright", "bottom", "bottomleft", "left", "topleft", "top", "topright", "right" and "center". This places the legend on the inside of the plot frame at the given location. Partial argument matching is used. Default is "topright".
Logical; if TRUE, plot one y-axis range per y variable. If FALSE plot all the y variables in the same y-axis range. Default is FALSE.
Logical; If TRUE, concatenate the unit value stored in the model
default scenario to the x-axis and y-axis label, when there is one variable
per axis or multipleYAxis = TRUE
. Default is FALSE.
A vector with the color of points or lines appearing in the
legend. A selection of colors is used as default. If the amount of variables
to be plotted is greater than the length of the selected colors, extra colors
from the colors
function will be used.
$saveSimulationTrajectories(path = "directory")
Save the
simulation trajectories to text files, and the model and the scenario to XML
files inside the path
directory.
Arguments
A string with the directory name to save the files. If missing
uses the outputId
to name the created directory in the current working
directory.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | ## Let's load the Arenstorf model from the sdsim repository and then simulate
# it to explore the output object functionalities
arenstorf <- sdLoadModel(file = "Arenstorf", repository = TRUE)
outaren <- sdSimulate(model = arenstorf)
# print the output object to visualize the simulation diagnostics and
# the last 10 lines of the variables trajectories
outaren$print()
# print the summary of all the variables trajectories
outaren$summary()
# visualize the entire output trajectory until the max.print
outaren$outTrajectory
# visualize the circular rotation of the bodies and
# the coordinates derivatives over time,
# concatenating the units of the variables stored in the default scenario;
outaren$plot("y1 ~ y2", "dy1 dy2", units = TRUE,
main = c("Rotation Coordinates",
"Rotation Coordinates Derivatives"))
# use multipleYAxis = TRUE for a better visualization of the derivatives
outaren$plot("dy1 dy2", multipleYAxis = TRUE,
main = "Rotation Coordinates Derivatives")
# save the simulation trajectories for further use
outaren$saveSimulationTrajectories("Arenstorf")
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