trimData: Trim data for downstream analyses

Description Usage Arguments Value Examples

View source: R/trimData.R

Description

trimData() allows users to define start date, start time and number of days for analysing data sets.

Usage

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trimData(data, start.date, start.time, n.days, bin = 1, t.cycle = 24)

Arguments

data

Input data file. This must be DAM scanned monitor files, saved in 1-min intervals starting at time 00:00.

start.date

Define starting date for analysis. Date inputs must be in this form: "DD Mon YY"; August 6, 2020 must be input as "6 Aug 20". Any other form will result in computation errors.

start.time

Define start time for analysis. Times must be input in the 24-h format and in the following form: "HH:MM"; 10 AM must be "10:00" and 10 PM must be "22:00".

n.days

Number of days to analyse.

bin

Intervals in which data are sampled (in minutes). This defaults to 1.

t.cycle

Define the period of the environmental cycle or a single day in hours. This defaults to 24.

Value

A data.frame containing trimmed data.

Examples

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td <- trimData(data = df, start.date = "19 Dec 20", start.time = "21:00",
n.days = 10, bin = 1, t.cycle = 24)

phase documentation built on Aug. 17, 2021, 1:06 a.m.

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