lsr (version 1.0.0)

ciMean: Confidence interval around the mean

Description

Calculates a confidence interval for the mean of a numeric variable (or each numeric variable in a data frame or matrix).

Usage

ciMean(x, conf = 0.95, na.rm = FALSE)

Value

A matrix with one row per variable and two columns giving the lower and upper bounds of the confidence interval. Column names reflect the confidence level (e.g., "2.5%" and "97.5%" for a 95% interval).

Arguments

x

A numeric vector, matrix, or data frame.

conf

The confidence level. Defaults to 0.95 for a 95% interval.

na.rm

Set to TRUE to remove missing values before computing the interval. Defaults to FALSE.

Details

Calculates a confidence interval for the mean under the standard assumption that the data are normally distributed. When x is a matrix or data frame, a separate interval is computed for each column. Non-numeric columns in a data frame produce NA rows in the output.

See Also

t.test, mean

Examples

x <- c(1, 3, 6)
ciMean(x) # 95% confidence interval
ciMean(x, conf = 0.80) # 80% confidence interval

# for comparison: equivalent result via lm
confint(lm(x ~ 1))

# missing values
x <- c(1, 3, NA, 6)
ciMean(x, na.rm = TRUE)