REDI: Compute REDI for all observed and missing input values in a...

In REDI: Robust Exponential Decreasing Index

Compute REDI for all observed and missing input values in a dataset

Description

Wrapper function that converts the dataset to the adequate format, compute values of REDI for each Input values, display a generic plot of the results and return a tibble containing both data and corresponding REDI values.

Usage

redi(
  data,
  coef = c(0.05, 0.1, 0.5),
  input = 1,
  output = 2,
  plot = TRUE,
  by = "day",
  format = "%Y%m%d",
  summary_duplicate = mean
)

Arguments

data	A tibble or a data frame, containing an Input column that is used as reference for the observations (e.g. time for longitudinal data), and an Output column specifying the observed values of interest (the workload).
coef	A number or vector, containing the values of the lambda coefficient used in the REDI computations, controlling the decay of the exponential weights. Default is c(0.05, 0.1, 0.5).
input	A character or a number, indicating the name or the index of the Input column (time).
output	A character or a number, indicating the name or the index of the Output column (workload).
plot	A boolean, indicating whether results should be displayed. is TRUE.
by	A number or a character string, indicating the reference time period between two observations. Possible values are 'day', 'week', 'month', 'year', or any arbitrary number. See documentation of the 'seq()' for additional information if necessary. Default is 'day'.
format	A character string, indicating the date format of the input. Please read lubridate::as_date(). Default is '%Y%m%d'.
summary_duplicate	A function, used to summarise Output values for duplicated Input values. Default is mean.

Value

A tibble containing 4 columns : Input (without duplicates), Output, Lambda and REDI, which corresponds to the vector returned by the loop_REDI() function.

Examples

data <- simu_db()
redi <- redi(data)

REDI documentation built on June 7, 2023, 5:10 p.m.