weibulltools (version 2.1.0)

reliability_data: Reliability Data

Description

Create consistent reliability data based on an existing data.frame (preferred) or on multiple equal length vectors.

Usage

reliability_data(data = NULL, x, status, id = NULL, .keep_all = FALSE)

Value

A tibble with class wt_reliability_data containing the following columns (if .keep_all = FALSE):

• x : Lifetime characteristic.

• status : Binary data (0 or 1) indicating whether a unit is a right censored observation (= 0) or a failure (= 1).

• id : Identification for every unit.

If .keep_all = TRUE, the remaining columns of data are also preserved.

If !is.null(data) the attribute characteristic holds the name of the characteristic described by x. Otherwise it is set to "x".

Arguments

data

Either NULL or a data.frame. If data is NULL, x, status and id must be vectors containing the data. Otherwise x, status and id can be either column names or column positions.

x

Lifetime data, that means any characteristic influencing the reliability of a product, e.g. operating time (days/months in service), mileage (km, miles), load cycles.

status

Binary data (0 or 1) indicating whether a unit is a right censored observation (= 0) or a failure (= 1).

id

Identification of every unit.

.keep_all

If TRUE keep remaining variables in data.

Examples

# Example 1 -  Based on an existing data.frame/tibble and column names:
data <- reliability_data(
  data = shock,
  x = distance,
  status = status
)

# Example 2 - Based on an existing data.frame/tibble and column positions:
data_2 <- reliability_data(
  data = shock,
  x = 1,
  status = 3
)

# Example 3 - Keep all variables of the tibble/data.frame entered to argument data:
data_3 <- reliability_data(
  data = shock,
  x = distance,
  status = status,
  .keep_all = TRUE
)

# Example 4 - Based on vectors:
cycles <- alloy$cycles
state <- alloy$status
id <- "XXXXXX"

data_4 <- reliability_data(
  x = cycles,
  status = state,
  id = id
)