RandomWalker (version 1.1.0)

std_cum_max_augment: Augment Cumulative Maximum

Description

This function augments a data frame by adding cumulative maximum columns for specified variables.

Usage

std_cum_max_augment(.data, .value, .names = "auto", .initial_value = 0)

Value

A tibble with the original data and additional columns containing the cumulative maximums.

Arguments

.data

A data frame to augment.

.value

A column name or names for which to compute the cumulative maximum.

.names

Optional. A character vector of names for the new cumulative maximum columns. Defaults to "auto", which generates names based on the original column names.

.initial_value

A numeric value to start the cumulative maximum from. Defaults to 0.

Author

Steven P. Sanderson II, MPH

Details

The function takes a data frame and a column name (or names) and computes the cumulative maximum for each specified column, starting from an initial value. If the column names are not provided, it will throw an error.

See Also

Other Utility Functions: confidence_interval(), convert_snake_to_title_case(), generate_caption(), get_attributes(), rand_walk_column_names(), rand_walk_helper(), running_quantile(), std_cum_mean_augment(), std_cum_min_augment(), std_cum_prod_augment(), std_cum_sum_augment(), subset_walks()

Examples

df <- data.frame(x = c(1, 3, 2, 5, 4), y = c(10, 7, 6, 12, 5))
std_cum_max_augment(df, .value = x)
std_cum_max_augment(df, .value = y, .names = c("cummax_y"))