ci_r4vn: Confidence Intervals from Summaries or Variables

In R4VN: Health Data Analysis and Publication-Ready Reporting

Confidence Intervals from Summaries or Variables

Description

Calculates confidence intervals for means, proportions, and variances.

Usage

cii(
  n,
  mean = NULL,
  sd = NULL,
  events = NULL,
  variance = NULL,
  type = c("auto", "mean", "proportion", "variance"),
  method = c("exact", "wilson", "wald"),
  level = 0.95,
  digits = 3,
  show = TRUE,
  console = FALSE
)

ci(
  x,
  data = NULL,
  type = c("auto", "mean", "proportion", "variance"),
  event = NULL,
  method = c("exact", "wilson", "wald"),
  level = 0.95,
  digits = 3,
  show = TRUE,
  console = FALSE
)

Arguments

n	Sample size.
mean, sd	Mean and standard deviation.
events	Number of events for a proportion.
variance	Sample variance.
type	"auto", "mean", "proportion", or "variance".
method	Proportion confidence interval method.
level	Confidence level.
digits	Decimal places.
show	Logical; open the formatted result in the Viewer. Default TRUE.
console	Logical; also print the traditional text result in the Console. Default FALSE.
x	Variable to analyze.
data	Data frame. If NULL, active data is used.
event	Event level for a binary variable.

Value

Invisibly returns an object of class r4vn_stat.

Examples

cii(50, mean = 10, sd = 2)
cii(100, events = 45, type = "proportion", method = "wilson")

R4VN documentation built on Sept. 30, 2026, 5:13 p.m.