plot.interv_fit: Plotting a interv_fit object

In c-foschi/mlintervals: Interpolation of interval averaged data using a maximum likelihood method

Description

Plots the interpolating curve along the interval data. By default, also plots confidence bands

Usage

## S3 method for class 'interv_fit'
plot(x, ..., from = NULL, to = NULL,
  points = 300, plot_bands = TRUE, sigma2 = NULL, col_means = 1,
  col_line = 4, col_bands = rgb(0, 0, 1, 0.25))

Arguments

x	an object of class interv_fit
...	any graphical parameter to be used for plotting
from, to	limits of the plotting window of time. By default, it plots the window corresponding to first 20 time intervals, or the whole series if it is shorter. A warning will be raised if a part of the series is omitted. By setting these parameters, it is possible to plot a window of any lenght, but windows too wide will make the graph too dense
points	integer, the number of points in which to evaluate the curve
plot_bands	logical; if TRUE, confidence bands are plotted. Default is TRUE
sigma2	it is possible to fix scale parameter for confidence bands. If sigma2 is fixed, then normal quantiles are used; if is not, t quantiles are used
col_means	color for interval observed integrals
col_line	color for interpolating curve
col_bands	color for the region inside confidence bands. Default uses transparency

Examples

M= c(0, 1, -1, 2, 4)
mod= interv_fit(M)
plot(mod)

c-foschi/mlintervals documentation built on July 1, 2020, 1:25 a.m.