asbio (version 1.9-2)

shade.norm: Shading functions for interpretation of pdf probabilities.

Description

Creates plots with lower, upper, two-tailed, and middle of the distribution shading for popular pdfs.

Usage

shade.norm(x = NULL, from = NULL, to = NULL, sigma = 1, mu = 0,
tail = "lower", show.p = TRUE, show.d = FALSE, show.dist = TRUE, digits = 5,
legend.cex = .9, shade.col="gray",...)
shade.t(x = NULL, from = NULL, to = NULL, nu = 3, tail = "lower", 
show.p = TRUE, show.d = FALSE, show.dist = TRUE, digits = 5,legend.cex = .9, 
shade.col="gray",...)
shade.F(x = NULL, from = NULL, to = NULL, nu1 = 1, nu2 = 5, 
tail = "lower", show.p = TRUE, show.d = FALSE, show.dist = TRUE, 
prob.to.each.tail = 0.025, digits = 5, legend.cex = .9,shade.col="gray",...)
shade.chi(x = NULL, from = NULL, to = NULL, nu = 1, tail = "lower", 
show.p = TRUE, show.d = FALSE, show.dist = TRUE, prob.to.each.tail = 0.025, 
digits = 5,legend.cex = .9,shade.col="gray",...)
shade.bin(x=NULL,from=NULL,to=NULL,n=1,p=0.5,tail="X=x",show.p=TRUE,
show.dist=TRUE, show.d=FALSE,legend.cex = .9,digits=5, ...)
shade.poi(x=NULL,from=NULL,to=NULL,lambda=5,tail="X=x",show.p=TRUE,
show.dist=TRUE, show.d=FALSE,legend.cex = .9,digits=5, ...)
shade.wei(x = NULL, from = NULL, to = NULL, theta = 1, beta = 1, tail = "lower", 
show.p = TRUE, show.d = FALSE, show.dist = TRUE, prob.to.each.tail = 0.025, 
digits = 5, legend.cex = 0.9, shade.col = "gray", ...)

Value

Returns a plot with the requested pdf and probability shading.

Arguments

x

A quantile, i.e. \(X = x\), or if tail = "two.custom" ins shade.norm, a two element vector specifying the upper bound of the lower tail and the lower bound of the upper tail.

from

To be used with tail = "middle"; the value a in \(P(a < X < b)\).

to

To be used with tail = "middle"; the value b in \(P(a < X < b)\).

sigma

Standard deviation for the nomral distribution.

mu

Mean of the normal distribution.

tail

One of four possibilities: "lower" provides lower tail shading, "upper" provides upper tail shading, "two" provides two tail shading, and "middle" provide shading in the middle of the pdf, between "from" and "to". The additional option "two.custom" is allowed for shade.norm and shade.t. This allows calculation of asymmetric two tailed probabilities. It requires that the argument x is a two element vector with elements denoting the upper bound of the lower tail and the lower bound of the upper tail. For discrete pdfs (binomial and Poisson) the possibility "X=x" is also allowed, and will be equivalent to the density. Two tailed probability is not implemented for shade.poi.

show.p

Logical; indicating whether probabilities are to be shown.

show.d

Logical; indicating whether densities are to be shown.

show.dist

Logical; indicating whether parameters for the distribution are to be shown.

nu

Degrees of freedom.

nu1

Numerator degrees of freedom for the F-distribution.

nu2

Denominator degrees of freedom for the F-distribution.

prob.to.each.tail

Probability to be apportioned to each tail in the F and Chi-square distributions if tail = "two".

digits

Number of digits to be reported in probsabilities and densities.

n

The number of trials for the binomial pdf.

p

The binomial probability of success.

lambda

The Poisson parameter (i.e. rate).

legend.cex

Character expansion for legends in plots.

shade.col

Color of probability shading.

theta

Pdf parameter.

beta

Pdf parameter.

...

Additional arguments to plot.

Author

Ken Aho

Examples

if (FALSE) {
##normal
shade.norm(x=1.2,sigma=1,mu=0,tail="lower")
shade.norm(x=1.2,sigma=1,mu=0,tail="upper")
shade.norm(x=1.2,sigma=1,mu=0,tail="two")
shade.norm(from=-.4,to=0,sigma=1,mu=0,tail="middle")
shade.norm(from=0,to=0,sigma=1,mu=0,tail="middle")
shade.norm(x=c(-0.2, 2),sigma=1,mu=0,tail="two.custom")

##t
shade.t(x=-1,nu=5,tail="lower")
shade.t(x=-1,nu=5,tail="upper")
shade.t(x=-1,nu=5,tail="two")
shade.t(from=.5,to=.7,nu=5,tail="middle")
                                                                                        
##F
shade.F(x=2,nu1=15,nu2=8,tail="lower")
shade.F(x=2,nu1=15,nu2=8,tail="upper")
shade.F(nu1=15,nu2=8,tail="two",prob.to.each.tail=0.025)
shade.F(from=.5,to=.7,nu1=15,nu2=10,tail="middle")

##Chi.sq
shade.chi(x=2,nu=5,tail="lower")
shade.chi(x=2,nu=5,tail="upper")
shade.chi(nu=7,tail="two",prob.to.each.tail=0.025)
shade.chi(from=.5,to=.7,nu=5,tail="middle")

##binomial
shade.bin(x=5,n=20,tail="X=x",show.d=TRUE)
shade.bin(x=5,n=20,tail="lower")
shade.bin(x=5,n=20,tail="two")
shade.bin(from=8,to=12,n=20,tail="middle")

##Poisson
shade.poi(x=5,lambda=6,tail="X=x",show.d=TRUE)
shade.poi(x=5,lambda=7,tail="lower")
shade.poi(x=5,lambda=8,tail="upper")
shade.poi(from=8,to=12,lambda=7,tail="middle")
}