ci {gmodels}R Documentation

Compute Confidence Intervals

Description

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 lmer objects are provided.

Arguments

x object from which to compute confidence intervals.
confidence confidence level. Defaults to 0.95.
alpha type one error rate. Defaults to 1.0-confidence
na.rm boolean indicating whether missing values should be removed. Defaults to FALSE.
... Arguments for methods

Value

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.

Author(s)

Gregory R. Warnes Gregory_R_Warnes@groton.pfizer.com

See Also

confint, lm, summary.lm

Examples


# 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) 


[Package gmodels version 2.12.0 Index]