Compute quantiles of a sample and return them in a format consistent with other summary functions in the posterior package.

quantile2(x, probs = c(0.05, 0.95), na.rm = FALSE, ...)

# S3 method for default
quantile2(x, probs = c(0.05, 0.95), na.rm = FALSE, names = TRUE, ...)

# S3 method for rvar
quantile2(x, probs = c(0.05, 0.95), na.rm = FALSE, names = TRUE, ...)

Arguments

x

(multiple options) One of:

probs

(numeric vector) Probabilities in [0, 1].

na.rm

(logical) Should NA and NaN values be removed from x prior to computing quantiles? The default is FALSE.

...

Arguments passed to individual methods (if applicable) and then on to stats::quantile().

names

(logical) Should the result have a names attribute? The default is TRUE, but use FALSE for improved speed if there are many values in probs.

Value

A numeric vector of length length(probs). If names = TRUE, it has a names attribute with names like "q5", "q95", etc, based on the values of probs.

Examples

mu <- extract_variable_matrix(example_draws(), "mu") quantile2(mu)
#> q5 q95 #> -0.8536202 9.3873124