plotTimeSeries: Create a time series from a dataframe or output equivalent to...

In Urban-Meteorology-Reading/analysisToolsLUMA: Tools that can help speed up data analysis for LUMA instruments

Description

Create a time series from a dataframe or output equivalent to that from getLUMAdata.

Usage

plotTimeSeries(
  allData,
  tickBreaks = NA,
  dateLabelFormat = NA,
  title = NA,
  SAVEplot = FALSE,
  SAVEname = NA,
  SAVEpath = NULL,
  SAVEsize = NA
)

Arguments

allData	The data to plot in the form output by getLUMAdata().
tickBreaks	How often ticks should appear on plots. e.g. 6 hours. See https://www.rdocumentation.org/packages/ggplot2/versions/1.0.0/topics/scale_x_datetime date_breaks for valid options.
dateLabelFormat	The format of date labels e.g. with Hour and Minute separated by : . See date_labels in link above for valid options.
title	The title of the plot. If not specified then a default will be generated based on information given.
SAVEplot	Boolean whether to save the plot.
SAVEname	The name of the plot if SAVEplot = TRUE
SAVEpath	The path to folder in which plot should be saved. Leave as null to save in current working directory.
SAVEsize	The size the save the image. This is a 3D vector consisting of h (height), w (width) and unit. See https://ggplot2.tidyverse.org/reference/ggsave.html for valid units.

Value

A time series for each variable.

Urban-Meteorology-Reading/analysisToolsLUMA documentation built on June 8, 2021, 6:29 p.m.