This function augments a data frame by adding cumulative minimum columns for specified variables.
Arguments
- .data
A data frame to augment.
- .value
A column name or names for which to compute the cumulative minimum.
- .names
Optional. A character vector of names for the new cumulative minimum columns. Defaults to "auto", which generates names based on the original column names.
- .initial_value
A numeric value to start the cumulative minimum from. Defaults to 0.
Details
The function takes a data frame and a column name (or names) and computes the cumulative minimum 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_prod_augment(),
std_cum_sum_augment()
Examples
df <- data.frame(x = c(5, 3, 8, 1, 4), y = c(10, 7, 6, 12, 5))
std_cum_min_augment(df, .value = x)
#> # A tibble: 5 × 3
#> x y cum_min_x
#> <dbl> <dbl> <dbl>
#> 1 5 10 5
#> 2 3 7 3
#> 3 8 6 3
#> 4 1 12 1
#> 5 4 5 1
std_cum_min_augment(df, .value = y, .names = c("cummin_y"))
#> # A tibble: 5 × 3
#> x y cummin_y
#> <dbl> <dbl> <dbl>
#> 1 5 10 10
#> 2 3 7 7
#> 3 8 6 6
#> 4 1 12 6
#> 5 4 5 5