transform_data: transform_data

In multipleITScontrol: Interrupted Time Series with a Control and Multiple Interventions

transform_data

Description

Transforms a data frame ready for input into fit_its_model, creating relevant columns for slope and level effects of interventions.

Requires a minimum of three time points in each intervention period and pre-intervention period.

Usage

transform_data(df, time_var, group_var, outcome_var, intervention_dates)

Arguments

df	A data frame containing the initial time series data.
time_var	A variable indicating the time index in the data frame. It must be a sequential time-series of equal intervals in numeric or a date/POSIXct/POSIXlt class.
group_var	A character or factor variable indicating treatment and control groups. Only 'treatment' and 'control' are valid elements.
outcome_var	A numeric variable indicating outcome.response variable.
intervention_dates	A vector of time points (matching type of time_var) when interventions start. These time points are mutually exclusive and should not overlap. The argument accepts up to three values representing the intervention start times.

Value

A transformed data frame to be passed to transformed_df in fit_its_model.

multipleITScontrol documentation built on April 4, 2026, 1:08 a.m.