Augment Cumulative Product

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

Usage

std_cum_prod_augment(.data, .value, .names = "auto", .initial_value = 1)

Arguments

.data

A data frame to augment.

.value

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

.names

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

.initial_value

A numeric value to start the cumulative product from. Defaults to 1.

Value

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

Details

The function takes a data frame and a column name (or names) and computes the cumulative product 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: convert_snake_to_title_case(), generate_caption(), get_attributes(), rand_walk_column_names(), rand_walk_helper(), running_quantile(), std_cum_max_augment(), std_cum_mean_augment(), std_cum_min_augment(), std_cum_sum_augment()

Author

Steven P. Sanderson II, MPH

Examples

df <- data.frame(x = 1:5, y = 6:10)
std_cum_prod_augment(df, .value = x)
#> # A tibble: 5 × 3
#>       x     y cum_prod_x
#>   <int> <int>      <dbl>
#> 1     1     6          2
#> 2     2     7          6
#> 3     3     8         24
#> 4     4     9        120
#> 5     5    10        720
std_cum_prod_augment(df, .value = y, .names = c("cumprod_y"))
#> # A tibble: 5 × 3
#>       x     y cumprod_y
#>   <int> <int>     <dbl>
#> 1     1     6         7
#> 2     2     7        56
#> 3     3     8       504
#> 4     4     9      5040
#> 5     5    10     55440