pat_dygraph: Interactive time series plot

In AirSensor: Process and Display Data from Air Quality Sensors

Description

This function creates interactive graphs that will be displayed in RStudio's 'Viewer' tab.

The list of available parameters include:

• pm25 – A and B channel PM2.5 (ug/m3)

• temperature – temperature (F)

• humidity – humidity (%)

• pressure – pressure (hPa)

Usage

pat_dygraph(
  pat = NULL,
  parameter = "pm25",
  sampleSize = 5000,
  title = NULL,
  xlab = NULL,
  ylab = NULL,
  tlim = NULL,
  rollPeriod = 1,
  showLegend = TRUE,
  colors = NULL,
  timezone = NULL
)

Arguments

pat	PurpleAir Timeseries pat object from pat_createNew()
parameter	Data to display: "pm25", "humidity", "temperature" or "pressure".
sampleSize	Either an integer or fraction to determine sample size.
title	title text
xlab	optional title for the x axis
ylab	optional title for the y axis
tlim	optional vector with start and end times (integer or character representing YYYYMMDD[HH])
rollPeriod	Width (hours) of rolling mean to be applied to the data.
showLegend	Logical specifying whether to add a legend.
colors	Vector of colors to be used for plotting.
timezone	Olson timezone used to interpret tlim. (Defaults to pat local time.)

Value

Initiates the interactive dygraph plot in RStudio's 'Viewer' tab.

Examples

library(AirSensor)

# Create a new pat object for North Bend, WA
North_Bend_Weather <- 
  pat_createNew(
    label = "North Bend Weather", 
    pas = example_pas,
    startdate = 20180801, 
    enddate = 20180901,
    verbose = TRUE
  )

if ( interactive() ) {
  # Create interactive timeseries plot
  #  - sample just 1000 points for more efficient plotting
  #  - plot using a 6-hour rolling mean to fill in holes
  North_Bend_Weather %>%
    pat_sample(sampleSize = 1000, setSeed = 1) %>%
    pat_dygraph(xlab = "2018", rollPeriod = 6)
}

AirSensor documentation built on March 13, 2021, 1:07 a.m.