tbrf (version 0.1.5)

tbr_binom: Time-Based Rolling Binomial Probability

Description

Produces a a rolling time-window based vector of binomial probability and confidence intervals.

Usage

tbr_binom(.tbl, x, tcolumn, unit = "years", n, alpha = 0.05)

Value

tibble with binomial point estimate and confidence intervals.

Arguments

.tbl

dataframe with two variables.

x

indicates the variable column containing "success" and "failure" observations coded as 1 or 0.

tcolumn

indicates the variable column containing Date or Date-Time values.

unit

character, one of "years", "months", "weeks", "days", "hours", "minutes", "seconds"

n

numeric, describing the length of the time window in the selected units.

alpha

numeric, probability of a type 1 error, so confidence coefficient = 1-alpha

See Also

binom_ci

Examples

## Generate Sample Data
df <- tibble::tibble(
date = sample(seq(as.Date('2000-01-01'), as.Date('2015/12/30'), by = "day"), 100),
value = rbinom(100, 1, 0.25)
)

## Run Function
tbr_binom(df, x = value,
tcolumn = date, unit = "years", n = 5,
alpha = 0.1)