monitor_dygraph: Create Interactive Time Series Plot

In PWFSLSmoke: Utilities for Working with Air Quality Monitoring Data

Description

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

Usage

monitor_dygraph(
  ws_monitor,
  title = "title",
  ylab = "PM2.5 Concentration",
  tlim = NULL,
  rollPeriod = 1,
  showLegend = TRUE
)

Arguments

ws_monitor	ws_monitor object
title	title text
ylab	title for the y axis
tlim	optional vector with start and end times (integer or character representing YYYYMMDD[HH])
rollPeriod	rolling mean to be applied to the data
showLegend	logical to toggle display of the legend

Value

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

Examples

# Fail gracefully if any resources are not available
try({

library(PWFSLSmoke)

# Napa Fires -- October, 2017
ca <- airnow_load(2017) %>%
  monitor_subset(tlim=c(20171001,20171101), stateCodes='CA')

Vallejo <- monitor_subset(ca, monitorIDs='060950004_01')

Napa_Fires <- monitor_subsetByDistance(
  ca,
  longitude = Vallejo$meta$longitude,
  latitude = Vallejo$meta$latitude,
  radius = 50
)

if ( interactive() ) {
  monitor_dygraph(Napa_Fires, title='Napa Fires in California, Oct. 2017')
}

}, silent = FALSE)

PWFSLSmoke documentation built on Nov. 23, 2021, 5:06 p.m.