normalApproxBinomial

0th

Percentile

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

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

Keywords
hplot
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.

Aliases
  • normalApproxBinomial
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))
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")
## these are interactive and won't work in R CMD check
NTplot(distribution.name="binomial", n=20, ylim=c(0,4.2), p1=.8, shiny=TRUE)
NTplot(p0=.4, p.hat=.65, p1=.7, distribution.name="binomial", n=15, shiny=TRUE)
NTplot(p.hat=.65, distribution.name="binomial", n=15, type="confidence", shiny=TRUE)
Documentation reproduced from package HH, version 3.1-19, License: GPL (>= 2)

Community examples

Looks like there are no examples yet.