fun.coverageplot: Calculate, and plot, coverage for binomial confidence...
In kolassa-dev/TheorStat: Techniques and Concepts from an MS Course in Statistical Theory
fun.coverageplot R Documentation
Calculate, and plot, coverage for binomial confidence intervals.
Description
Calculate, and plot, coverage for binomial confidence intervals.
Usage
fun.coverageplot(
nn,
alpha = 0.05,
exactonly = FALSE,
alternative = "two.sided",
plot = TRUE,
cm = 0,
npi = 999
)
Arguments
nn
number of binomial samples
alpha
1-coverage
alternative
string incidating whether one- or two sided intervals are calculated
plot
logical flag indicating whether to plot.
cm
minimal value on vertical axis.
npi
Number of pi vectors to try
exactoly
Logical indicating whether only exact tests are considered.
kolassa-dev/TheorStat documentation built on Dec. 7, 2023, 12:23 a.m.
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| fun.coverageplot | R Documentation |
Calculate, and plot, coverage for binomial confidence intervals.
Description
Calculate, and plot, coverage for binomial confidence intervals.
Usage
fun.coverageplot(
nn,
alpha = 0.05,
exactonly = FALSE,
alternative = "two.sided",
plot = TRUE,
cm = 0,
npi = 999
)
Arguments
nn |
number of binomial samples |
alpha |
1-coverage |
alternative |
string incidating whether one- or two sided intervals are calculated |
plot |
logical flag indicating whether to plot. |
cm |
minimal value on vertical axis. |
npi |
Number of pi vectors to try |
exactoly |
Logical indicating whether only exact tests are considered. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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