give.summary {bayesSurv} | R Documentation |
This function computes a sample mean, quantiles and a Bayesian p-value which is defined as
2 * min(n[-], n[+]),
where n[-] is the number of the sampled values which are negative and n[+] is the number of sampled values which are positive.
give.summary(sample, probs=c(0.5, 0.025, 0.975))
sample |
a data frame or a vector with sampled values |
probs |
probabilities of the quantiles that are to be computed |
A matrix or a vector with the sample mean, quantiles and a Bayesian p-value.
Arnošt Komárek arnost.komarek[AT]mff.cuni.cz
## Example with a sample stored in a vector: sample <- rnorm(1000) give.summary(sample) ## Example with a sample stored in a data.frame: sample <- data.frame(x=rnorm(1000), y=rgamma(1000, shape=1, rate=1)) give.summary(sample)