HH: normalApproxBinomial – R documentation

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normalApproxBinomial

Plots to illustrate Normal Approximation to the Binomial—hypothesis tests or confidence intervals.

Description

Plots to illustrate Normal Approximation to the Binomial—hypothesis tests or confidence intervals.

Usage

normalApproxBinomial(p0= if (number.vars==1) .5 else 0,
                     p1=NA, p2=NA,
                     p.hat=if (number.vars==1) .75 else 0,
                     n=1,
                     xlim=if (number.vars==1) c(0,1) else c(-1,1),
                     ylim=c(0, 5),
                     type=c("hypothesis","confidence"),
                     alpha.left=if (type=="hypothesis") 0 else .025,
                     alpha.right=if (type=="hypothesis") .05 else .025,
                     xlab=if (number.vars==1)
                            "w = p = population proportion"
                          else
                            "w = p[1] - p[2] :: population proportions", ...,
                     number.vars=if (!is.na(p1) && !is.na(p2)) 2 else 1)

Arguments

`p0`	Null hypothesis value of p.
`p1`	Alternate hypothesis value of p for one-sample cases. Second sample value of p for two-sample cases.
`p2`	Second sample value of p.
`p.hat`	Observed value of p.
`n`	Number of observations (for example, number of coins tossed).
`xlim, ylim, xlab`	Standard `xyplot` arguments...
`type`	"hypothesis" for a Hypothesis Test graph, or "confidence" for a Confidence Interval graph.
`..., alpha.left, alpha.right`	Additional arguments forwarded to `NTplot`.
`number.vars`	Number of variables. 1 for a one-sample test, 2 for two-sample tests and paired tests.

Details

This is a wrapper function for the plots in NTplot.

Value

"trellis" object.

Author(s)

Richard M. Heiberger (rmh@temple.edu)

Examples

NTplot(distribution.name="binomial", n=20, ylim=c(0,4.2), p1=.8)
NTplot(distribution.name="binomial", n=20, type="confidence", ylim=c(0,4.2))
## Not run: 
NTplot(distribution.name="binomial", n=20, zaxis=TRUE, z1axis=TRUE,
       p1=.8678, ylim=c(0, 5.2))
NTplot(p0=.4, p.hat=.65, p1=.7, distribution.name="binomial", n=15)
NTplot(p.hat=.65, distribution.name="binomial", n=15, type="confidence")

## End(Not run)
## Not run:  ## these are interactive and won't work in R CMD check
  if (interactive())
    NTplot(distribution.name="binomial", n=20, ylim=c(0,4.2), p1=.8, shiny=TRUE)
  if (interactive())
    NTplot(p0=.4, p.hat=.65, p1=.7, distribution.name="binomial", n=15, shiny=TRUE)
  if (interactive())
    NTplot(p.hat=.65, distribution.name="binomial", n=15, type="confidence", shiny=TRUE)

## End(Not run)

HH

Statistical Analysis and Data Display: Heiberger and Holland

v3.1-43

GPL (>= 2)

Authors

Richard M. Heiberger

Initial release

2020-11-27