plotgg: Autoplot of Distributions Using ggplot2

Description

The function plotgg plots the CDF and PDF of a given distribution object.

Usage

plotgg(x, which = "all", ...)
# S3 method for contdist
plotgg(
  x,
  which = "all",
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1,
  size2 = 1,
  alpha1 = 0.7,
  alpha2 = 0.7,
  ...
)
# S3 method for trans_contdist
plotgg(
  x,
  which = "all",
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1,
  size2 = 1,
  alpha1 = 0.7,
  alpha2 = 0.7,
  ...
)
# S3 method for discrdist
plotgg(
  x,
  which = "all",
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PMF",
  size1 = 3.3,
  size2 = 3.3,
  alpha1 = 0.9,
  alpha2 = 0.9,
  col_segment = "#b05e0b",
  ...
)
# S3 method for trans_discrdist
plotgg(
  x,
  which = "all",
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PMF",
  size1 = 3.3,
  size2 = 3.3,
  alpha1 = 0.9,
  alpha2 = 0.9,
  col_segment = "#b05e0b",
  ...
)
# S3 method for contmixdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1,
  size2 = 1,
  alpha1 = 0.4,
  alpha2 = 0.4,
  legend.position1 = "none",
  legend.position2 = "none",
  ...
)
# S3 method for trans_contmixdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1,
  size2 = 1,
  alpha1 = 0.4,
  alpha2 = 0.4,
  legend.position1 = "none",
  legend.position2 = "none",
  ...
)
# S3 method for discrmixdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PMF",
  size1 = 1.6,
  size2 = 1.6,
  alpha1 = 0.4,
  alpha2 = 0.9,
  legend.position1 = "none",
  legend.position2 = "none",
  width = 0.25,
  ...
)
# S3 method for trans_discrmixdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PMF",
  size1 = 1.6,
  size2 = 1.6,
  alpha1 = 0.4,
  alpha2 = 0.9,
  legend.position1 = "none",
  legend.position2 = "none",
  width = 0.25,
  ...
)
# S3 method for contdiscrmixdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1.6,
  size2 = 1.6,
  alpha1 = 0.4,
  alpha2 = 0.4,
  legend.position1 = "none",
  legend.position2 = "none",
  ...
)
# S3 method for trans_contdiscrmixdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1.6,
  size2 = 1.6,
  alpha1 = 0.4,
  alpha2 = 0.4,
  legend.position1 = "none",
  legend.position2 = "none",
  ...
)
# S3 method for compdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1.6,
  size2 = 1.6,
  alpha1 = 0.4,
  alpha2 = 0.4,
  legend.position1 = "none",
  legend.position2 = "none",
  text_ylim = -0.01,
  col_segment = "white",
  lty_segment = 3,
  lwd_segment = 1.8,
  ...
)
# S3 method for trans_compdist
plotgg(
  x,
  which = "all",
  only_mix = FALSE,
  pp1 = 1000,
  pp2 = 1000,
  col = "#F9D607",
  xlim1 = q(x, c(0.01, 0.99)),
  ylim1 = NULL,
  xlim2 = xlim1,
  ylim2 = NULL,
  xlab1 = NULL,
  ylab1 = NULL,
  xlab2 = NULL,
  ylab2 = NULL,
  main1 = "CDF",
  main2 = "PDF",
  size1 = 1.6,
  size2 = 1.6,
  alpha1 = 0.4,
  alpha2 = 0.4,
  legend.position1 = "none",
  legend.position2 = "none",
  text_ylim = -0.01,
  col_segment = "white",
  lty_segment = 3,
  lwd_segment = 1.8,
  ...
)

Value

ggplot object if which = "cdf" or which = "pdf". If both are plotted, the plots are merged using multiplot() function and a list with both plots is invisibly returned.

Arguments

x: distribution object.
which: whether to plot only CDF, PDF or both, default: 'all'.
...: further arguments to be passed.
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: NULL.
ylab1: ylab of CDF plot, default: NULL.
xlab2: xlab of PDF plot, default: NULL.
ylab2: ylab of PDF plot, default: NULL.
main1: title of CDF plot, default: 'CDF'.
main2: title of PDF plot, default: 'PDF'/'PMF'.
size1: size used in CDF plot.
size2: size used in PDF plot.
alpha1: alpha used in CDF plot.
alpha2: alpha used in PDF plot.
col_segment: col of additional segment if contained in the plot (composite and discrete distributions).
only_mix: whether to plot only mixture/composite model and not also the components, default: FALSE.
legend.position1: legend.position used in CDF plot.
legend.position2: legend.position used in PDF plot.
width: width of the bars that are used to plot discrete mixtures, default: 0.25.
text_ylim: y coordinate for text annotation, default: -0.01.
lty_segment: lty of additional segment if contained in the plot (composite and discrete distributions).
lwd_segment: lwd of additional segment if contained in the plot (composite and discrete distributions).

Examples

Run this code

if (FALSE) {
N <- normdist()
autoplot(N)

# manipulating cdf plot
B <- binomdist(12, 0.5)
autoplot(-3*B, which = "cdf", xlim1 = c(-30, -10))
# manipulating pdf plot
autoplot(-3*B, which = "pdf", xlim2 = c(-30, -10))
}

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