gap_statistics: Calculate Gap Statistics for different time ranges

In jthurner/baseflowchile: Streamflow data for Chile

Description

Given a univariate daily time series, the following statistics are computed for the specified date ranges:

• Completeness Percentage, daily (c_d): Percentage of non-NA values in the time series

• Completeness Percentage, monthly (c_m): Percentage of non-NA values after aggregating to monthly

• Longest Gap,monthly (l_g): Longest consecutive stretch of NA values after aggregating to monthly

Usage

gap_statistics(x, date_ranges, completeness_threshold = 100,
  md = cl_catchment_md)

Arguments

x	daily timeseries as tibble with Date and data columns named with the stationcode
date_ranges	character vector of date ranges
completeness_threshold	completeness percentage below which a month is marked as NA when calculating monthly statistics (c_m, l_g)
md	metadata table (tibble) with stationcode column

Details

The time ranges are specified in years as "start-end", with "2000-2009" meaning from 2000-01-01 to 2009-12-31.

Value

the metadata table md with the following vars added: stationcode + c_d, c_m, l_g for each date range

jthurner/baseflowchile documentation built on May 29, 2019, 1:50 a.m.