loadflux-features: Calculate features of a 'tsibble' object in conjunction with...

Description Usage Arguments Examples

Description

You can calculate a series of summary statistics (features) of a given variable for a dataset. For example, a three number summary, the minimum, median, and maximum, can be calculated for a given variable. This is designed to work with the [features()] function shown in the examples. Other available features in 'loadflux' include:

Usage

1

Arguments

x

A vector to extract features from.

Examples

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# You can use any of the features `feat_*` in conjunction with `features`
# like so:
library(dplyr)
library(fabletools)
library(tsibble)

djants <- djan %>%
  hydro_events(
    q = discharge,
    datetime = time,
    window = 21
  ) %>%
  as_tsibble(
    key = he,
    index = time
  )

djants %>%
  features(
    time, # variable you want to explore
    feat_event
  ) # the feature summarisation you want to perform

loadflux documentation built on Nov. 5, 2021, 5:07 p.m.