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dMod (version 0.3.1)

plotData: Plot a list data points

Description

Plot a list data points

Usage

plotData(data, ..., scales = "free", facet = "wrap", transform = NULL)

Arguments

data
Named list of data.frames as being used in res, i.e. with columns name, time, value and sigma.
...
Further arguments going to subset.
scales
The scales argument of facet_wrap or facet_grid, i.e. "free", "fixed", "free_x" or "free_y"
facet
Either "wrap" or "grid"
transform
list of transformation for the states, see coordTransform.

Value

A plot object of class ggplot.

Details

The data.frame being plotted has columns time, value, sigma, name and condition.

Examples

Run this code
## Observation function
fn <- eqnvec(
  sine = "1 + sin(6.28*omega*time)",
  cosine = "cos(6.28*omega*time)"
)
g <- Y(fn, parameters = "omega")

## Prediction function for time
x <- Xt()

## Parameter transformations to split conditions
p <- NULL
for (i in 1:3) {
  p <- p + P(trafo = c(omega = paste0("omega_", i)), condition = paste0("frequency_", i))
}

## Evaluate prediction
times <- seq(0, 1, .01)
pars <- structure(seq(1, 2, length.out = 3), names = attr(p, "parameters"))

prediction <- (g*x*p)(times, pars)

## Plotting prediction
plot(prediction)
plotPrediction(prediction)
plotPrediction(prediction, scales = "fixed")
plotPrediction(prediction, facet = "grid")
plotPrediction(prediction, 
               scales = "fixed",
               transform = list(sine = "x^2", cosine = "x - 1"))

## Simulate data
dataset <- wide2long(prediction)
dataset <- dataset[seq(1, nrow(dataset), 5),]
dataset$value <- dataset$value + rnorm(nrow(dataset), 0, .1)
dataset$sigma <- 0.1
data <- as.datalist(dataset, split.by = "condition")

## Plotting data
plot(data)
plotData(data)

## Plotting data and prediction with subsetting
plot(prediction, data)
plotCombined(prediction, data)
plotCombined(prediction, data, 
             time <= 0.5 & condition == "frequency_1")
plotCombined(prediction, data, 
             time <= 0.5 & condition != "frequency_1", 
             facet = "grid")

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