plot.traces_dm_list | R Documentation |
Creates a basic plot showing simulated traces (simulated evidence accumulation processes) from a drift diffusion model. Such plots are useful for exploring and testing model behavior, allowing users to visualize the traces.
## S3 method for class 'traces_dm_list'
plot(
x,
...,
col = NULL,
col_b = NULL,
xlim = NULL,
ylim = NULL,
xlab = "Time",
ylab = "Evidence",
lty = 1,
type = "l",
legend = NULL,
legend_pos = "topright"
)
## S3 method for class 'traces_dm'
plot(
x,
...,
col = NULL,
col_b = NULL,
xlim = NULL,
ylim = NULL,
xlab = "Time",
ylab = "Evidence",
lty = 1,
type = "l"
)
x |
an object of type |
... |
additional arguments passed to the plot, graphics::points, and graphics::legend functions. Oftentimes, this will (unfortunately) lead to an error due to a clash of arguments. |
col |
character, vector of colors for the evidence accumulation traces, one per condition. Defaults to a rainbow palette if not specified. |
col_b |
character, a vector of colors for the boundary lines. Defaults to black for all conditions. |
xlim , ylim |
numeric vectors of length 2, specifying the x and y axis limits. |
xlab , ylab |
character, labels for the x and y axes. |
lty |
integer, line type for both the traces and boundary lines. |
type |
character, type of plot to use for traces and boundaries. |
legend |
character vector, specifying legend labels, corresponding to the conditions in the traces. Defaults to the condition names. |
legend_pos |
character, specifying the position of the legend on the plot. |
plot.traces_dm_list()
iterates over all conditions and plots the traces.
It includes a legend with condition labels.
plot_traces_dm
only plots the traces provided (i.e., traces for one
condition)
Boundaries and traces are color-coded according to col
and col_b
. The
function automatically generates the upper and lower boundaries based on
the information stored within x
.
Nothing (NULL
; invisibly)
simulate_traces
# get a couple of traces for demonstration purpose
a_model <- dmc_dm()
some_traces <- simulate_traces(a_model, k = 3)
# Plots for traces_dm_list objects ----------------------------------------
# basic plot
plot(some_traces)
# a slightly more beautiful plot :)
plot(some_traces,
col = c("green", "red"),
xlim = c(0, 0.35),
xlab = "Time [s]",
ylab = bquote(Realizations ~ of ~ X[t]),
legend_pos = "bottomright"
)
# Plots for traces_dm objects ---------------------------------------------
# we can also extract a single set of traces and plot them
one_set_traces <- some_traces$comp
plot(one_set_traces)
# modifications to the plot generally work in the same way
plot(one_set_traces,
col = "green",
xlim = c(0, 0.35),
xlab = "Time [s]",
ylab = bquote(Realizations ~ of ~ X[t])
)
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