plot.eff.cont: Plotting tools for Continuous effectiveness distributions

In julian-urbano/simIReff: Stochastic Simulation for Information Retrieval Evaluation: Effectiveness Scores

Description

Plot the density, distribution and quantile functions of a continuous effectiveness distribution.

Usage

## S3 method for class 'eff.cont'
dplot(x, ..., plot.data = TRUE, subdivisions = 200,
  xlab = "x", ylab = "f(x)", main = "density")

## S3 method for class 'eff.cont'
pplot(x, ..., plot.data = TRUE, subdivisions = 200,
  xlab = "q", ylab = "F(q)", main = "distribution")

## S3 method for class 'eff.cont'
qplot(x, ..., plot.data = TRUE, subdivisions = 200,
  xlab = "p", ylab = expression(F^-1 * (p)), main = "quantile")

Arguments

x	the effectiveness distribution to plot.
...	arguments to be passed to lines.
plot.data	logical: whether to plot the data used to fit the distribution, if any.
subdivisions	number of equidistant points at which to evaluate the distribution to plot.
xlab	the title for the x axis.
ylab	the title for the y axis.
main	the overall title for the plot.

See Also

plot.eff.disc for discrete distributions.

julian-urbano/simIReff documentation built on May 21, 2019, 9:37 a.m.