tbr_binom: Time-Based Rolling Binomial Probability

In mps9506/tbrf: Time-Based Rolling Functions

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)

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

Value

tibble with binomial point estimate and confidence intervals.

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)

mps9506/tbrf documentation built on May 20, 2022, 10:49 a.m.