Description Usage Arguments Details Value References See Also Examples
View source: R/103.ConfidenceIntervals_BASE_n_x.R
Wald method of CI estimation
1 | ciWDx(x, n, alp)
|
x |
- Number of successes |
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
Wald-type interval that results from inverting
large-sample test and evaluates standard errors at maximum likelihood estimates
for the given x
and n
A dataframe with
x |
Number of successes (positive samples) |
LWDx |
Wald Lower limit |
UWDx |
Wald Upper Limit |
LABB |
Wald Lower Abberation |
UABB |
Wald Upper Abberation |
ZWI |
Zero Width Interval |
[1] 1993 Vollset SE. Confidence intervals for a binomial proportion. Statistics in Medicine: 12; 809 - 824.
[2] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.
[3] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.
[4] 2001 Brown LD, Cai TT and DasGupta A. Interval estimation for a binomial proportion. Statistical Science: 16; 101 - 133.
[5] 2002 Pan W. Approximate confidence intervals for one proportion and difference of two proportions Computational Statistics and Data Analysis 40, 128, 143-157.
[6] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.
[7] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529
prop.test and binom.test
for equivalent base Stats R functionality,
binom.confint
provides similar functionality for 11 methods,
wald2ci
which provides multiple functions for CI calculation ,
binom.blaker.limits
which calculates Blaker CI which is not covered here and
propCI
which provides similar functionality.
Other Base methods of CI estimation given x & n: PlotciAllxg
,
PlotciAllx
, PlotciEXx
,
ciASx
, ciAllx
,
ciBAx
, ciEXx
,
ciLRx
, ciLTx
,
ciSCx
, ciTWx
1 2 | x=5; n=5; alp=0.05;
ciWDx(x,n,alp)
|
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