summarize_metrics {bandit}

summarize_metrics

Package:

bandit

Version:

0.3.0

Description

A convenience function to perform overall metric analysis: mean, median, CI.

Usage

summarize_metrics(v, successes=NULL)

Arguments

v: a vector of values to be analyzed (for nonbinary data), or number of trials (for binary data)
successes: number of successes (for binary data)

Values

a list with the following items:

mean: mean
median: median
lower: 0.95 confidence interval on the mean
upper: 0.95 confidence interval on the mean
num_obs: number of observations of this metric
total: the sum of all values of this metric (mean*num_obs)

Examples

metric_list = list(rbinom(n=100,size=1,prob=0.5), rbinom(n=100,size=1,prob=0.7), rpois(n=100, lambda=5))
summarize_metrics(length(metric_list[[1]]), sum(metric_list[[1]]))
summarize_metrics(length(metric_list[[2]]), sum(metric_list[[2]]))
summarize_metrics(metric_list[[3]])

Author(s)

Thomas Lotze

Documentation reproduced from package bandit, version 0.3.0. License: GPL-3