Confidence interval functions

Computes confidence intervals for means, proportions, variances, and the exponential rate parameter.

Usage

ci_mu(
  xbar,
  n,
  s = NULL,
  sigma = NULL,
  conf.level = 0.95,
  paired = FALSE,
  side = c("two.sided", "lower", "upper"),
  method = c("welch", "pooled", "z"),
  digits = 4,
  quiet = FALSE
)

ci_p(x, n, conf.level = 0.95, exact_1s = TRUE, digits = 4, quiet = FALSE)

ci_var(s, n, conf.level = 0.95, digits = 4, quiet = FALSE)

ci_lambda_exp(Sum, n, conf.level = 0.95, digits = 4, quiet = FALSE)

Arguments

xbar

Numeric vector of sample means or paired-difference mean summaries.

n

Integer sample size or vector of sample sizes.

s

Sample standard deviation input when sigma is unknown.

sigma

Known population standard deviation input.

conf.level

Confidence level in (0, 1).

paired

Logical; for ci_mu(), whether the supplied summaries are for paired differences.

side

Interval side specification: "two.sided", "lower", or "upper".

method

Method for the two-sample sigma-unknown mean interval.

digits

Integer number of decimal places used only for printed output.

quiet

Logical; if TRUE, suppress printed output.

x

Count input for proportion, variance, or exponential-rate intervals.

exact_1s

Logical; for ci_p(), whether to use exact one-sided bounds.

Sum

Sum of observations for the exponential-rate interval.

Details

These functions return classed result objects with unrounded stored values and optional printed summaries controlled by digits and quiet.

Functions

• ci_mu(): Confidence interval for a mean or mean difference.

• ci_p(): Confidence interval for a proportion or difference in proportions.

• ci_var(): Confidence interval for a variance or variance ratio.

• ci_lambda_exp(): Confidence interval for an exponential rate parameter.