| ci {gmodels} | R Documentation |
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.
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 |
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 Gregory_R_Warnes@groton.pfizer.com
# 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)