ReliaGrowR (version 0.3.2)

weibull_to_rga: Weibull to RGA

Description

Converts Weibull data (failure, suspension, and interval-censored times) into a format suitable for reliability growth analysis (RGA). The function handles exact failure times, right-censored suspensions, and interval-censored data. It approximates interval-censored failures by placing them at the midpoint of the interval. The output is a data frame with cumulative time and failure counts. This format can be used with RGA models such as Crow-AMSAA.

Usage

weibull_to_rga(
  failures,
  suspensions = NULL,
  interval_starts = NULL,
  interval_ends = NULL
)

Value

The data frame contains two columns:

CumulativeTime

Cumulative time at each failure event.

Failures

Number of failures at each cumulative time point.

The function approximates interval-censored failures by placing them at the midpoint of the interval.

Arguments

failures

A numeric vector of exact failure times. Each failure time indicates when an item failed during the observation period.

suspensions

A numeric vector of suspension (right-censored) times. A suspension indicates that the item was removed from observation at that time without failure. This parameter is optional and can be NULL if there are no suspensions.

interval_starts

A numeric vector of interval start times (lower bound of censoring). This parameter is optional and can be NULL if there are no interval-censored data. If provided, it must be the same length as interval_ends.

interval_ends

A numeric vector of interval end times (upper bound of censoring). This parameter is optional and can be NULL if there are no interval-censored data. If provided, it must be the same length as interval_starts.

Examples

failures <- c(100, 200, 200, 400)
suspensions <- c(250, 350, 450)
interval_starts <- c(150, 300)
interval_ends <- c(180, 320)
result <- weibull_to_rga(failures, suspensions, interval_starts, interval_ends)
print(result)