anlz_splitstorms: Analyze storm data split by date within years

In tbep-tech/tbeptools: Data and Indicators for the Tampa Bay Estuary Program

Analyze storm data split by date within years

Description

Analyze storm data split by date within years

Usage

anlz_splitstorms(
  df_hurricane,
  date_split,
  stats = list(sum = sum, avg = mean, n = length)
)

Arguments

df_hurricane	data frame containing date_beg and scale columns for hurricanes
date_split	date to split analysis into annual periods
stats	list of functions to apply to scale values, default: sum, average and count. Functions should accept numeric vector input and return single value

Value

A tibble summarizing hurricanes for annual periods "before" and "after" the split date, with requested statistics computed for the scale values

Examples

# Create sample hurricane data
hurricanes <- data.frame(
  date_beg = as.Date(c(
    "1980-07-31", "1980-09-04", "1980-11-07",
    "1981-05-06", "1981-08-07", "1981-11-12")),
  scale = c(6, 1, 3, 1, 2, 1))

# Basic analysis with default statistics (sum, average and count)
split_date <- Sys.Date() - lubridate::years(1)
anlz_splitstorms(hurricanes, split_date)

# Analysis with custom statistics
anlz_splitstorms(hurricanes, split_date,
                     stats = list(
                       max = max,
                       min = min))

tbep-tech/tbeptools documentation built on April 13, 2025, 4:50 p.m.