create_lags: Create lagged variables

In dataprep: Fast, Efficient, and Versatile Data Preprocessing and Reshaping with 'C++', 'OpenMP' & 'SIMD'

Create lagged variables

Description

Generates lagged (or lead) versions of selected numeric columns. Positive lags shift values backward in time (past values), negative lags shift forward. Useful for time series modeling.

Usage

create_lags(data, cols = NULL, lags = 1, prefix = "lag_",
            group = NULL, date_col = NULL, verbose = FALSE)

Arguments

data	A data frame, matrix, or numeric vector.
cols	Column indices or names to create lags for.
lags	Vector of lag orders (positive for past, negative for future).
prefix	Prefix for new column names.
group	Optional grouping column for group-specific lags.
date_col	Currently ignored. Data are assumed to be in the correct time order.
verbose	Logical; if TRUE, prints number of lag columns created.

Value

A data frame or matrix with additional lag columns.

Examples

create_lags(data[1:100, c(1, 4, 17:19)], cols = 3:5, lags = c(1, 2))

dataprep documentation built on Oct. 1, 2026, 5:07 p.m.