Distribution_autoplot {mistr}

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))