Package 'fastGraph'

Title: Fast Drawing and Shading of Graphs of Statistical Distributions
Description: Provides functionality to produce graphs of probability density functions and cumulative distribution functions with few keystrokes, allows shading under the curve of the probability density function to illustrate concepts such as p-values and critical values, and fits a simple linear regression line on a scatter plot with the equation as the main title.
Authors: Steven T. Garren
Maintainer: Steven T. Garren <[email protected]>
License: GPL-3
Version: 2.1
Built: 2024-12-01 08:38:54 UTC
Source: CRAN

Help Index

Fast Drawing and Shading of Graphs of Statistical Distributions

Description

Provides functionality to produce graphs of probability density functions and cumulative distribution functions with few keystrokes, allows shading under the curve of the probability density function to illustrate concepts such as p-values and critical values, and fits a simple linear regression line on a scatter plot with the equation as the main title.

Details

  • getMinMax is called by both plotDist and shadeDist for determining a reasonable domain for plotting the graph.

  • plotDist draws as many as three probability density functions or cumulative distribution functions on the same graph.

  • plotLine performs a simple scatter plot, fits the linear regression line, and states the equation of the line in the title.

  • shadeDist draws a probability density function, shades in area under the curve, and lists the probability in the title of the graph.

  • shadePhat is similar to shadeDist but considers the distribution of only the sample proportion.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

Functions plot and lm, and R-package jmuOutlier.

Examples

par( mfrow=c(2,2) )

# Shows P(|Z| < 1.96), where Z is standard normal.
shadeDist( c(-1,1)*qnorm(0.975), lower.tail=FALSE )

# Shows P(|T| > 1.7), where T is t distributed with 19 d.f.
shadeDist( c(-1.7, 1.7), "dt", 19, col=c("blue", "hotpink") )

# Plots distribution of Poisson(mu=6).
plotDist( "dpois", 6, xmin=0, col="seagreen", main = expression(paste("Poisson(",mu,"=6)")) )

# Graphs line of simple linear regression model and states equation.
plotLine( c(-5,6,2,9,-11), c(-7,17,21,29,8), digits.intercept=3, digits.slope=4 )

par( mfrow=c(1,1) )

Finds a Reasonable Domain for Plotting a Graph

Description

This function computes a reasonable domain for plotting one, two, or three distribution functions by truncating small tail probabilities. This function also lists the population medians.

Usage

getMinMax(xmin = NULL, xmax = NULL, distA, parmA1 = NULL, parmA2 = NULL, distB = NULL, 
          parmB1 = NULL, parmB2 = NULL, distC = NULL, parmC1 = NULL, parmC2 = NULL)

Arguments

xmin

A lower bound, usually set to NULL during input.

xmax

An upper bound, usually set to NULL during input.

distA

Character variable naming the first probability density function (starting with "d") or cumulative density function (starting with "p").

parmA1

The first argument in distA, excluding the dummy argument. Alternatively, parmA1 may be set to be a vector of arguments, excluding the dummy argument.

parmA2

The second argument in distA, excluding the dummy argument. Alternatively, parmA2 may be set to be a vector of arguments, excluding the dummy argument and parmA1.

distB

Character variable naming the second probability density function (starting with "d") or cumulative density function (starting with "p").

parmB1

The first argument in distB, excluding the dummy argument. Alternatively, parmB1 may be set to be a vector of arguments, excluding the dummy argument.

parmB2

The second argument in distB, excluding the dummy argument. Alternatively, parmB2 may be set to be a vector of arguments, excluding the dummy argument and parmB1.

distC

Character variable naming the third probability density function (starting with "d") or cumulative density function (starting with "p").

parmC1

The first argument in distC, excluding the dummy argument. Alternatively, parmC1 may be set to be a vector of arguments, excluding the dummy argument.

parmC2

The second argument in distC, excluding the dummy argument. Alternatively, parmC2 may be set to be a vector of arguments, excluding the dummy argument and parmC1.

Details

This function getMinMax is automatically called by plotDist and shadeDist, so the user does not actually need to directly call getMinMax when executing plotDist and shadeDist. This function by itself does not construct a graph.

Value

xmin

A reasonable value of a lower bound for the domain of a graph.
xmax

A reasonable value of an upper bound for the domain of a graph.
medianA

The population median of distA.
medianB

The population median of distB.
medianC

The population median of distC.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

plotDist and shadeDist

Examples

getMinMax(  , , "dnorm", 20, 5  ) # Normal(mu=20, sigma=5)

# Standard normal, and t with 4 degrees of freedom
getMinMax(  , , "dnorm", 0, 1, "dt", 4, 0 ) 

# Standard normal, central t with 4 d.f., and t with 4 d.f. and non-centrality parmater = 1.2
getMinMax(  , , "dnorm", 0, 1, "dt", 4, 0, "dt", 4, 1.2 ) 

# Force minimum to be -3.
getMinMax( -3, , "dnorm", 0, 1 )

# Force maximum to be 3.
getMinMax( , 3, "dnorm", 0, 1 )

Plotting of Statistical Distributions

Description

This function plots as many as three probability density functions and cumulative distribution functions on the same graph using just one command, where the domain of the graph need not be specified by the user.

Usage

plotDist(distA = "dnorm", parmA1 = NULL, parmA2 = NULL, distB = NULL, parmB1 = NULL, 
         parmB2 = NULL, distC = NULL, parmC1 = NULL, parmC2 = NULL, xlab = NULL, 
         xmin = NULL, xmax = NULL, col = c("black", "red", "darkgreen"), 
         is.discrete = NULL, additional.x.range = NULL, lwd = 2, ...)

Arguments

distA

Character variable naming the first probability density function (starting with "d") or cumulative density function (starting with "p") to be graphed. May be set to "dprop" for a sample proportion, in which case only one distribution (i.e., distA) may be graphed, using the same arguments as dbinom.

parmA1

The first argument in distA, excluding the dummy argument. For example, if distA="dnorm", then parmA1 is the mean from "dnorm". Alternatively, parmA1 may be set to be a vector of arguments, excluding the dummy argument. However, if distA="dprop", then parmA1 should be set to the size in dbinom.

parmA2

The second argument in distA, excluding the dummy argument. For example, if distA="dnorm", then parmA2 is the sd from "dnorm". Alternatively, parmA2 may be set to be a vector of arguments, excluding both the dummy argument and parmA1. However, if distA="dprop", then parmA2 should be set to the prob in dbinom.

distB

Character variable naming the second probability density function (starting with "d") or cumulative density function (starting with "p") to be graphed.

parmB1

The first argument in distB, excluding the dummy argument. Alternatively, parmB1 may be set to be a vector of arguments, excluding the dummy argument.

parmB2

The second argument in distB, excluding the dummy argument. Alternatively, parmB1 may be set to be a vector of arguments, excluding both the dummy argument and parmB1.

distC

Character variable naming the third probability density function (starting with "d") or cumulative density function (starting with "p") to be graphed.

parmC1

The first argument in distC, excluding the dummy argument. Alternatively, parmC1 may be set to be a vector of arguments, excluding the dummy argument.

parmC2

The second argument in distC, excluding the dummy argument. Alternatively, parmC2 may be set to be a vector of arguments, excluding both the dummy argument and parmC1.

xlab

The label of the x variable.

xmin

The minimum x-value to be graphed.

xmax

The maximum x-value to be graphed.

col

A vector specifying the colors of distA, distB, and distC, respectively.

is.discrete

A vector with 1, 2, or 3 logical values, indicating whether or not distA, distB, and distC are discrete. For built-in density functions, such as dbinom, pbinom, dgeom, pgeom, dhyper, phyper, dpois, ppois, dnbinom, and pnbinom, this argument is.discrete can be set to NULL, which is the default.

additional.x.range

A vector of two additional x-values for evaluating the function. This argument would be needed only if the user is dissatisfied with the domain determined by the function.

lwd

The line width for discrete distributions.

...

Optional arguments to be passed to the plot function (see par).

Details

If only one graph is to be plotted, then use distA. If only two graphs are to be plotted, then use distA and distB.

The arguments in plotDist are typically entered as first distribution plus two parameters, second distribution plus two parameters, and third distribution plus two parameters. If only one parameter of the distribution is needed, then the second parameter can be left as the default of NULL. If three or more parameters of the distribution are needed, then the first parameter can be assigned to be a vector consisting of all of the parameters.

The default value of distA is "dnorm"; i.e., for plotting the normal distribution.

The default values of all of the arguments following parmC2 usually are sufficient.

Note

This function plotDist calls functions getMinMax, plot, and curve.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

shadeDist, shadePhat, plot, and getMinMax

Examples

par( mfrow=c(2,2) )

# Plots standard normal density in black, t density with 3 d.f. in red, and
# non-central t density with 3 d.f. and non-centrality parameter=1.4 in green.
plotDist( "dnorm", 0, 1, "dt", 3, 0, "dt", 3, 1.4, 
          main=expression(paste("Standard Normal,", T[3],", and ", T[paste(3,",",1.4)], sep="")) ) 

plotDist( "dchisq", 15, , "dnorm", 15, sqrt(2*15), col=c("blue", "hotpink"),
   main=expression(paste("Normal approximation to ",chi[~(15)]^{~2})) ) 

# Cumulative distribution functions.
plotDist( "pnorm", 50, 10, "pcauchy", 50, 10, col=c("purple","orange"), 
   main = "Normal and Cauchy CDFs" )

# Plots sample proportion by calling function shadePhat.
plotDist( "dprop", 15, 0.3, col="turquoise", main = "Sample proportion" )

par( mfrow=c(1,1) )

X-Y Plotting with Simple Linear Regression Line and Equation

Description

The function plots a simple scatter plot, fits the regression line on the scatter plot, and lists the equation of the fitted regression line as the title.

Usage

plotLine(x, y = NULL, data = NULL, xlab = NULL, ylab = NULL, pch = 19, 
         col = c("black", "red"), digits.intercept = NULL, digits.slope = NULL, ...)

Arguments

x

The x coordinates of points in the plot. Alternatively, a single plotting structure or function can be provided.

y

The y coordinates of points in the plot, optional if x is an appropriate structure.

data

A data frame including the x and y coordinates.

xlab

The label of the x variable.

ylab

The label of the y variable.

pch

The plotting character; i.e., symbol to use. This can be either a single character or an integer code for one of a set of graphics symbols.

col

A vector of size two for the color code or name. The first value is the color of the plotting character, and the second value is the color of the fitted regression line.

digits.intercept

The desired number of significant digits for the intercept.

digits.slope

The desired number of significant digits for the slope.

...

Optional arguments to be passed to the plot function (see par).

Note

This function plotLine uses functions plot and lm.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

plot and lm

Examples

par( mfrow=c(2,2) )

x = c( 2, 6, 5, -3, 11, 3 ) ;  y = c( 16, 12, 19, -13, 27, 5 )

plotLine( x, y )

plotLine( x, -y, col=c("red", "green"), digits.intercept=2, digits.slope=3 )

d = data.frame( x=c( 2, 7, 9, 15, 12 ), y=c( 45, 32, 22, 15, 19 ) )

plotLine( y~x, data=d, col=c("blue","orange") )

plotLine( y~x, data=d, xlab="TIME", ylab="EXPENSE", digits.intercept=3, digits.slope=4 )

par( mfrow=c(1,1) )

Displays Area Under Curve of Probability Density Function

Description

This function plots a probability density function, shades the area under the curve, and computes the probability.

Usage

shadeDist(xshade = NULL, ddist = "dnorm", parm1 = NULL, parm2 = NULL, lower.tail = TRUE,
          xlab=NULL, xmin = NULL, xmax = NULL, xtic = TRUE, digits.prob = 4, 
          digits.xtic = 3, is.discrete = NULL, additional.x.range = NULL, main = NULL, 
          col = c("black", "red"), lwd = 2, ...)

Arguments

xshade

A single number or vector of two numbers, denoting values on the x-axis where shading under the curve begins and ends. However, if NULL, no shading occurs.

ddist

Character variable naming the probability density function to be graphed. May be set to "dprop" for a sample proportion, using the same arguments as dbinom.

parm1

The first argument in ddist, excluding the dummy argument. For example, if ddist="dnorm", then parm1 is the mean from "dnorm". Alternatively, parm1 may be set to be a vector of arguments, excluding the dummy argument. However, if ddist="dprop", then parm1 should be set to the size in dbinom.

parm2

The second argument in ddist, excluding the dummy argument. For example, if ddist="dnorm", then parm2 is the sd from "dnorm". Alternatively, parm2 may be set to be a vector of arguments, excluding both the dummy argument and parm1. However, if ddist="dprop", then parm2 should be set to the prob in dbinom.

lower.tail

Logical; if TRUE (default), the lowest region is shaded; otherwise, the next lowest region is shaded.

xlab

The label of the x variable.

xmin

The minimum x-value to be graphed.

xmax

The maximum x-value to be graphed.

xtic

Logical or a vector of numbers. If xtic is TRUE (default), then the numbers on the x-axis include the median and xshade. If xtic is TRUE, then the default numbers from plot are listed on the x-axis. If xtic is a vector of numbers, then these numbers are listed on the x-axis.

digits.prob

The number of significant digits listed in the probability.

digits.xtic

The number of significant digits listed on the x-axis.

is.discrete

Logical; indicating whether or not the distribution is discrete. If is.discrete is NULL, then shadeDist automatically makes the correct choice for density functions already named in the stats package.

additional.x.range

A vector of two additional x-values for evaluating the function. This argument would be needed only if the user is dissatisfied with the domain determined by the function. This argument is ignored if ddist="dprop".

main

The main title given for the graph.

col

A vector of size two, specifying the colors of the density curve and the shading, respectively.

lwd

The line width for discrete distributions.

...

Optional arguments to be passed to the plot function (see par).

Details

When illustrating a left-sided p-value or any other left-sided probability, xshade should be a single number and set lower.tail=TRUE (default). When illustrating a right-sided p-value or any other right-sided probability, xshade should be a single number and set lower.tail=FALSE. When illustrating a two-sided p-value or any other two-sided probability, xshade should be a vector of two numbers and set lower.tail=TRUE (default). When illustrating the complement of a two-sided p-value or the complement of any other two-sided probability, xshade should be a vector of two numbers and set lower.tail=FALSE.

Note

The numeric value of the population median typically is shown on the x-axis when xshade is not NULL, provided that this number actually fits on the x-axis; see description for argument xtic above.\ This function shadeDist calls functions getMinMax, plot, and curve.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

plotDist and shadePhat

Examples

par( mfrow=c(3,3) )

shadeDist( qnorm(0.975), "dnorm", 0, 1 ) # P(Z<1.96) where Z ~ N(0,1)

shadeDist( qnorm(0.975), lower.tail=FALSE ) # P(Z>1.96) where Z ~ N(0,1)

# P(40<X<60) where X~N(mu=50,sigma=10)
shadeDist( c( 40, 60 ), , 50, 10, lower.tail=FALSE, col=c("black", "lightblue") )

shadeDist( c( 40, 60 ), "dnorm", 50, 10, col=c("purple", "lightgreen") )

shadeDist( 6.8, "dchisq", 4, lower.tail=FALSE ) # Chi-squared distribution with 4 d.f.

shadeDist( c( -1.3, 1.3 ), "dt", 13 ) # t with 13 d.f.

shadeDist( 1.19, "dt", 15, 3, lower.tail=FALSE ) # t with 15 d.f. and non-centrality parameter=3

shadeDist( 2.1, "df", 4, 25, lower.tail=FALSE, col=c("hotpink","turquoise") ) # F with 4 and 25 d.f.

shadeDist( 0.6, "dprop", 20, 0.7, xmin=0.4 ) # Probability for sample proportion with n=20 and p=0.7

par( mfrow=c(1,1) )

Displays Cumulative Probability of a Sample Proportion

Description

This function plots the probability density function of a sample proportion, shades the lines denoting probability, and computes the cumulative probability.

Usage

shadePhat(xshade = NULL, size = 1, prob = 0.5, lower.tail = TRUE, xmin = NULL, 
          xmax = NULL, xlab = expression(hat(p)), xtic = TRUE, digits.prob = 4, 
          digits.xtic = 3, main = NULL, col = c("black", "red"), lwd = 2, ...)

Arguments

xshade

A single number or vector of two numbers, denoting values on the x-axis where shading under the curve begins and ends. However, if NULL, no shading occurs.

size

Number of Bernoulli trials (one or more).

prob

Probability of Bernoulli success.

lower.tail

Logical; if TRUE (default), the lowest region is shaded; otherwise, the next lowest region is shaded.

xlab

The label given to the sample proportion on the x-axis.

xmin

The minimum x-value to be graphed.

xmax

The maximum x-value to be graphed.

xtic

Logical or a vector of numbers. If xtic is TRUE (default), then the numbers on the x-axis include the median and xshade. If xtic is TRUE, then the default numbers from plot are listed on the x-axis. If xtic is a vector of numbers, then these numbers are listed on the x-axis.

digits.prob

The number of significant digits listed in the probability.

digits.xtic

The number of significant digits listed on the x-axis.

main

The main title given for the graph.

col

A vector of size two, specifying the colors of the density curve and the shading, respectively.

lwd

The line width illustrating the discrete probabilities.

...

Optional arguments to be passed to the plot function (see par).

Details

When illustrating a left-sided p-value or any other left-sided probability, xshade should be a single number and set lower.tail=TRUE (default). When illustrating a right-sided p-value or any other right-sided probability, xshade should be a single number and set lower.tail=FALSE. When illustrating a two-sided p-value or any other two-sided probability, xshade should be a vector of two numbers and set lower.tail=TRUE (default). When illustrating the complement of a two-sided p-value or the complement of any other two-sided probability, xshade should be a vector of two numbers and set lower.tail=FALSE.

This function shadePhat can be executed directly or indirectly via shadeDist.

Note

This function shadePhat calls functions plot and curve.

Author(s)

Steven T. Garren, James Madison University, Harrisonburg, Virginia, USA

See Also

shadeDist and plotDist.

Examples

par( mfrow=c(3,2) )

shadePhat( 0.3, 20, 0.4 )

shadePhat( 0.3, 20, 0.4, lower.tail=FALSE )

shadePhat( c(0.65, 0.75), 30, 0.7, lower.tail=FALSE, xmin=0.4, xmax=1 )

shadePhat( c(0.65, 0.75), 30, 0.7, xmin=0.4, xmax=1, col=c("purple","orange") )

shadePhat( c(0.3, 0.4), 50, 0.35, xmin=0.1, xmax=0.6, col=c("blue","lightgreen") )

shadePhat( NULL, 10, 0.6, main = "Sample proportion" )

par( mfrow=c(1,1) )