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Plot Cumulative Distribution Function (CDF)

Source: R/plot-cdf.R
ssd_plot_cdf.Rd

Generic function to plots the cumulative distribution function (CDF).

Usage

ssd_plot_cdf(x, ...)

# S3 method for class 'fitdists'
ssd_plot_cdf(x, average = FALSE, est_method = "multi", delta = 9.21, ...)

# S3 method for class 'list'
ssd_plot_cdf(x, ...)

Arguments

x

The object.

...

Additional arguments passed to ssd_plot().

average

A flag specifying whether to provide model averaged values as opposed to a value for each distribution or if NA provides model averaged and individual values.

est_method

A string specifying whether to estimate directly from the model-averaged cumulative distribution function (est_method = 'multi') or to take the arithmetic mean of the estimates from the individual cumulative distribution functions weighted by the AICc derived weights (est_method = 'arithmetic') or or to use the geometric mean instead (est_method = 'geometric').

delta

A non-negative number specifying the maximum absolute AIC difference cutoff. Distributions with an absolute AIC difference greater than delta are excluded from the calculations.

Methods (by class)

  • ssd_plot_cdf(fitdists): Plot CDF for fitdists object

  • ssd_plot_cdf(list): Plot CDF for named list of distributional parameter values

See also

ssd_plot()

estimates.fitdists() and ssd_match_moments()

Examples

fits <- ssd_fit_dists(ssddata::ccme_boron)
ssd_plot_cdf(fits)

ssd_plot_cdf(fits, average = NA)


ssd_plot_cdf(list(
  llogis = c(locationlog = 2, scalelog = 1),
  lnorm = c(meanlog = 2, sdlog = 2)
))