Reliability Data — reliability_data • weibulltools

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

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

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.

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".

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
)