Skip to contents

t-interval confidence interval for the mean of continuous data

Source: R/utils-helpers.R
ci_t.Rd

Computes a t-distribution confidence interval for a sample mean.

Usage

ci_t(x, conf_level = 0.95)

Arguments

x

Numeric vector of observations

conf_level

Confidence level

Value

Named numeric vector (lower, upper), with confidence level stored as an attribute. Returns c(lower = NA, upper = NA) if fewer than 2 non-missing values are supplied.

Details

Used by the quantile-binned summary layer (see er_plot_add_quantiles()) and er_vpc_add_observed()/ er_vpc_add_simulated() to compute a confidence interval for the mean response within an exposure bin, for continuous (and, as an approximation, count) responses. This is the continuous-response analogue of ci_clopper_pearson(). NAs in x are dropped before computing the interval.

Examples

ci_t(rnorm(20))
#>      lower      upper 
#> -0.6760526  0.2365877 
#> attr(,"conf_level")
#> [1] 0.95