View source: R/121.ConfidenceIntervals_CC_n.R
ciCAll | R Documentation |
CI estimation of 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine)
ciCAll(n, alp, c)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
c |
- Continuity correction |
The Confidence Interval on 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine) for n
given alp
along with Continuity correction c
A dataframe with
method |
- Name of the method |
x |
- Number of successes (positive samples) |
LLT |
- Lower limit |
ULT |
- Upper Limit |
LABB |
- Lower Abberation |
UABB |
- Upper Abberation |
ZWI |
- Zero Width Interval |
[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.
[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.
[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.
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 Continuity correction methods of CI estimation:
PlotciCAS()
,
PlotciCAllg()
,
PlotciCAll()
,
PlotciCLT()
,
PlotciCSC()
,
PlotciCTW()
,
PlotciCWD()
,
ciCAS()
,
ciCLT()
,
ciCSC()
,
ciCTW()
,
ciCWD()
n=5; alp=0.05;c=1/(2*n) ciCAll(n,alp,c)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.