# normalApproxBinomial

From HH v3.1-42
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
# NOT RUN {
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")
# }
# 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)
# }

Documentation reproduced from package HH, version 3.1-42, License: GPL (>= 2)

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