daily_prophet conjures summary statistics for your data frame, akin to
the dplyr::summarise() function. This spell allows you to distill your
dataset down to essential summaries, capturing the core essence of your
data with a touch of magic.
Usage
daily_prophet(.data, ...)
Arguments
- .data
A data frame or tibble to summarize.
- ...
Additional arguments specifying the summaries to compute.
Each argument can be a summary statistic to calculate, such as mean, sum,
median, etc., possibly named to indicate the summary's purpose.
Value
A data frame or tibble containing the summary statistics for the
specified variables.
Examples
if (FALSE) {
library(dplyr)
# Assuming potion_data is a data frame with columns: ingredient, quantity, and effect_strength
daily_prophet(potion_data, total_quantity = sum(quantity), average_strength = mean(effect_strength))
}