clean.timeseries: Housekeeping time series

In brisneve/THE: Thermal History Exploration

Description

This function creates a time series of observation with fixed continuous intervals and no missing values. Useful in merging and harmonising two time series with different intervals and have missing values.

Usage

harmonise.timeseries(x,y, start_date, end_date, by = "week")

Arguments

x	date of observations (class: date, format: YYYY-MM-DD)
y	estimate of observations (class: numeric, format: YYYY-MM-DD)
start_date	start date of observations (class: date, format: YYYY-MM-DD)
end_date	end date of observations (class: date, format: YYYY-MM-DD)
by	interval, e.g. day, week, month, year; default = "week"

Value

This function returns to a data frame

date	date of observations in fixed interval
estimate	estimate of observation in fixed interval

brisneve/THE documentation built on May 21, 2019, 11:09 a.m.