plot: Autoplot of Distributions

In mistr: Mixture and Composite Distributions

Autoplot of Distributions

Description

The functions plot the CDF and PDF of a given distribution object.

Usage

## S3 method for class 'compdist'
plot(x, which = "all", only_mix = FALSE, pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = 1, lty2 = 1, lwd1 = 2, lwd2 = 2, lty_abline = 3, mtext_cex = 1, ...)

## S3 method for class 'trans_compdist'
plot(x, which = "all", only_mix = FALSE, pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = 1, lty2 = 1, lwd1 = 2, lwd2 = 2, lty_abline = 3, mtext_cex = 1, ...)

## S3 method for class 'contdist'
plot(x, which = "all", pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = NULL, lty2 = NULL, lwd1 = NULL, lwd2 = NULL, ...)

## S3 method for class 'trans_contdist'
plot(x, which = "all", pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = NULL, lty2 = NULL, lwd1 = NULL, lwd2 = NULL, ...)

## S3 method for class 'discrdist'
plot(x, which = "all", col = "#122e94",
        xlim1 = q(x,c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PMF", type1 = NULL, type2 = NULL,
        lty1 = NULL, lty2 = NULL, lwd1 = NULL, lwd2 = NULL, ...)

## S3 method for class 'trans_discrdist'
plot(x, which = "all", col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PMF", type1 = "p", type2 = "p",
        lty1 = NULL, lty2 = NULL, lwd1 = NULL, lwd2 = NULL, ...)

## S3 method for class 'contmixdist'
plot(x, which = "all", only_mix = FALSE, pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = 3, lty2 = 3, lwd1 = 2, lwd2 = 2, ...)

## S3 method for class 'trans_contmixdist'
plot(x, which = "all", only_mix = FALSE, pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = NULL, xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = 3, lty2 = 3, lwd1 = 2, lwd2 = 2, ...)

## S3 method for class 'discrmixdist'
plot(x, which = "all", only_mix = FALSE,
        pp1 = 1000, pp2 = 2 * (diff(xlim2)), col = "#122e94",
        xlim1 = q(x,c(0.01, 0.99)), ylim1 = c(0, 1), xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PMF", type1 = "l", type2 = "l",
        lty1 = 3, lty2 = 3, lwd1 = 3, lwd2 = 3, ...)

## S3 method for class 'trans_discrmixdist'
plot(x, which = "all", only_mix = FALSE,
        pp1 = 1000, pp2 = 2 * (diff(xlim2)), col = "#122e94",
        xlim1 = q(x,c(0.01, 0.99)), ylim1 = c(0, 1), xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PMF", type1 = "l", type2 = "l",
        lty1 = 3, lty2 = 3, lwd1 = 3, lwd2 = 3, ...)

## S3 method for class 'contdiscrmixdist'
plot(x, which = "all", only_mix = FALSE, pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = c(0, 1), xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = 3, lty2 = 3, lwd1 = 2, lwd2 = 2, ...)

## S3 method for class 'trans_contdiscrmixdist'
plot(x, which = "all", only_mix = FALSE, pp1 = 1000, pp2 = 1000, col = "#122e94",
        xlim1 = q(x, c(0.01, 0.99)), ylim1 = c(0, 1), xlim2 = xlim1, ylim2 = NULL,
        xlab1 = "x", ylab1 = expression(P(X <= x)), xlab2 = "x", ylab2 = "P(X = x)",
        main1 = "CDF", main2 = "PDF", type1 = "l", type2 = "l",
        lty1 = 3, lty2 = 3, lwd1 = 2, lwd2 = 2, ...)

Arguments

x	distribution object.
which	whether to plot only CDF, PDF or both, default: 'all'.
only_mix	whether to plot only mixture/composite model and not also the components, default: FALSE.
pp1	number of points at which CDF is evaluated, default: 1000.
pp2	number of points at which PDF is evaluated, default: 1000.
col	color used in plot, default: '#122e94'.
xlim1	xlim of CDF plot, default: q(x, c(0.01, 0.99)).
ylim1	ylim of CDF plot, default: NULL.
xlim2	xlim of PDF plot, default: xlim1.
ylim2	ylim of PDF plot, default: NULL.
xlab1	xlab of CDF plot, default: 'x'.
ylab1	ylab of CDF plot, default: expression(P(X <= x)).
xlab2	xlab of PDF plot, default: 'x'.
ylab2	ylab of PDF plot, default: 'P(X = x)'.
main1	title of CDF plot, default: 'CDF'.
main2	title of PDF plot, default: 'PDF'/'PMF'.
type1	type of CDF plot.
type2	type of PDF plot.
lty1	lty used in CDF plot.
lty2	lty used in PDF plot.
lwd1	lwd used in CDF plot.
lwd2	lwd used in PDF plot.
lty_abline	lty of abline if ablines are part of plot (composite and discrete distributions).
mtext_cex	cex parameter for mtexts used in the plots of composite distributions, default: 1.
...	further arguments to be passed.

Examples

N <- normdist()
plot(N)

# manipulating cdf plot
B <- binomdist(12, 0.5)
plot(-3*B, which = "cdf", xlim1 = c(-30, -10))
# manipulating pdf plot
plot(-3*B, which = "pdf", xlim1 = c(-30, -10))

mistr documentation built on March 7, 2023, 7:42 p.m.