Description Usage Arguments Value Author(s) See Also Examples
Compute and display confidence intervals for model
estimates. Methods are provided for the mean of a numeric vector
ci.default
, the probability of a binomial vector
ci.binom
, and for lm
, lme
, and mer
objects are
provided.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ci(x, confidence=0.95, alpha=1 - confidence, ...)
## S3 method for class 'numeric'
ci(x, confidence=0.95, alpha=1-confidence, na.rm=FALSE, ...)
## S3 method for class 'binom'
ci(x, confidence=0.95, alpha=1-confidence, ...)
## S3 method for class 'lm'
ci(x, confidence=0.95, alpha=1-confidence, ...)
## S3 method for class 'lme'
ci(x, confidence=0.95, alpha=1-confidence, ...)
## S3 method for class 'estimable'
ci(x, confidence=0.95, alpha=1-confidence, ...)
## S3 method for class 'fit_contrast'
ci(x, confidence=0.95, alpha=1-confidence, ...)
|
x |
object from which to compute confidence intervals. |
confidence |
confidence level. Defaults to 0.95. |
alpha |
type one error rate. Defaults to 1.0- |
na.rm |
boolean indicating whether missing values should be
removed. Defaults to |
... |
Arguments for methods |
vector or matrix with one row per model parameter and elements/columns
Estimate
, CI lower
, CI upper
, Std. Error
,
DF
(for lme objects only), and p-value
.
Gregory R. Warnes greg@warnes.net
1 2 3 4 5 6 7 8 9 10 11 12 13 | # mean and confidence interval
ci( rnorm(10) )
# binomial proportion and exact confidence interval
b <- rbinom( prob=0.75, size=1, n=20 )
ci.binom(b) # direct call
class(b) <- 'binom'
ci(b) # indirect call
# confidence intervals for regression parameteres
data(state)
reg <- lm(Area ~ Population, data=as.data.frame(state.x77))
ci(reg)
|
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