flexFitR (version 1.2.2)

series_mutate: Transform variables in a data frame

Description

This function performs transformations on specified columns of a data frame, including truncating maximum values, handling negative values, and adding a zero to the series. It allows for grouping and supports retaining metadata in the output.

Usage

series_mutate(
  data,
  x,
  y,
  grp,
  metadata,
  max_as_last = FALSE,
  check_negative = FALSE,
  add_zero = FALSE,
  interval = NULL
)

Value

A transformed data.frame with the specified modifications applied.

Arguments

data

A data.frame containing the input data for analysis.

x

The name of the column in data representing the independent variable (x points).

y

The name of the column(s) in data containing variables to transform.

grp

Column(s) in data used as grouping variable(s). Defaults to NULL (optional).

metadata

Names of columns to retain in the output. Defaults to NULL (optional).

max_as_last

Logical. If TRUE, appends the maximum value after reaching the maximum. Default is FALSE.

check_negative

Logical. If TRUE, converts negative values in the data to zero. Default is FALSE.

add_zero

Logical. If TRUE, adds a zero value to the series at the start. Default is FALSE.

interval

A numeric vector of length 2 (start and end) specifying the range to filter the data. Defaults to NULL.

Examples

data(dt_potato)
new_data <- series_mutate(
  data = dt_potato,
  x = DAP,
  y = GLI,
  grp = gid,
  max_as_last = TRUE,
  check_negative = TRUE
)