pdplot2: Plotting Probability Density/Mass and Cumulative Distribution...

In tegedik/pdplot2: Plotting Probability Density/Mass and Cumulative Distribution Functions

Plotting Probability Density/Mass and Cumulative Distribution Functions

Description

'pdplot2' visualizes probability density (mass) and cumulative distribution functions in R. It requires parameters correctly specified for each distribution.

Usage

pdplot2(x, mean, sd, size, prob, rate, lambda, location, scale, shape,
  shape1, shape2, df, df1, df2, meanlog, sdlog, min, max, m, n, k,
  dist = c("normal", "binomial", "exponential", "poisson", "chi-square",
  "logistic", "cauchy", "beta", "gamma", "geometric", "Student's t","F",
  "weibull", "negative binomial", "log-normal", "uniform", "hypergeometric"),
  type = c("PDF", "CDF"),
  show_color = FALSE,
  linetype = ...,
  color = ...)

Arguments

x	Vector of quantiles
mean	Vector of means.
sd	Vector of standard deviations.
location	Location parameter.
scale	Scale parameter.
size	Number of trials (zero or more).
prob	Probability of success on each trial.
df	Degrees of freedom (non-negative, but can be non-integer).
df1, df2	Degrees of freedom. Inf allowed.
lambda	Vector of (non-negative) means.
rate	Vector of rates.
shape	Shape parameter.
shape1, shape2	Non-negative parameters of the Beta distribution.
meanlog, sdlog	Mean and standard deviation of the distribution on the log scale
min, max	Lower and upper limits of the distribution
m, n, k	The number of white balls in the urn, number of black balls in the urn, the number of balls drawn from the urn
dist	Probability distribution. The supported distributions are "normal", "binomial", "exponential", "poisson", "chi-square", "logistic", "cauchy", "beta", "gamma", "geometric", "Student's t","F", "weibull", "negative binomial", "log-normal", "uniform", "hypergeometric".
type	Probability density or cumulative distribution functions.
show_color	If TRUE, pdplot2 uses colors for different distributions. Default is FALSE.
linetype	A character vector of linetypes. Default line types are c("solid", "dashed", "dotted", "dotdash", "longdash", twodash", "1F", "F1", "4C88C488", "12345678").
color	A character vector of colors. Default colors are c("#FF0000", "#00A08A", "#F2AD00", "#F98400", "#5BBCD6", "#ECCBAE", "#046C9A", "#D69C4E", "#ABDDDE", "#000000").

Note

This function uses only the probability density/mass and cumulative distribution functions in base R (stats package). It also requires ggplot2 package.

Author(s)

Tahir Enes Gedik

References

H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.

Karthik Ram and Hadley Wickham (2018). wesanderson: A Wes Anderson Palette Generator. R package version 0.3.6. https://CRAN.R-project.org/package=wesanderson

R Core Team (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.

Examples

# Plotting normal density function
pdplot2(seq(-5,5,0.01), mean=1, sd=1, dist="normal", type="PDF")

# Plotting several normal density functions
pdplot2(seq(-6,6,0.01), mean=c(0,0), sd=c(1,2), dist="normal", type="PDF")

tegedik/pdplot2 documentation built on July 11, 2024, 3:12 a.m.