PWFSLSmoke (version 1.2.100)

monitor_rollingMeanPlot: Create Rolling Mean Plot

Description

Creates a plot of individual (e.g. hourly) and rolling mean PM2.5 values for a specific monitor.

Usage

monitor_rollingMeanPlot(ws_monitor, monitorID = NULL, width = 3,
  align = "center", data.thresh = 75, tlim = NULL, ylim = NULL,
  localTime = TRUE, shadedNight = FALSE, aqiLines = TRUE,
  gridHorizontal = FALSE, grid24hr = FALSE, grid3hr = FALSE,
  showLegend = TRUE)

Arguments

ws_monitor

ws_monitor object

monitorID

Monitor ID for a specific monitor in the ws_monitor object (optional if only one monitor in the ws_monitor object).

width

Number of periods to average (e.g. for hourly data, width = 24 plots 24-hour rolling means).

align

Alignment of averaging window relative to point being calculated; one of "left|center|right".

data.thresh

Minimum number of valid observations required as a percent of width; NA is returned if insufficicnet valid data to calculate. mean

tlim

Optional vector with start and end times (integer or character representing YYYYMMDD[HH]).

ylim

y limits for the plot.

localTime

Logical specifying whether tlim is in local time or UTC.

shadedNight

Add nighttime shading.

aqiLines

Horizontal lines indicating AQI levels.

gridHorizontal

Add dashed horizontal grid lines.

grid24hr

Add dashed grid lines at day boundaries.

grid3hr

Add dashed grid lines every 3 hours.

showLegend

Include legend in top left.

Details

• align = "left": Forward roll, using hour of interest and the (width-1) subsequent hours (e.g. 3-hr left-aligned roll for Hr 5 will consist of average of Hrs 5, 6 and 7)

• align = "right": Backwards roll, using hour of interest and the (width-1) prior hours (e.g. 3-hr right-aligned roll for Hr 5 will consist of average of Hrs 3, 4 and 5)

• align = "center" for odd width: Average of hour of interest and (width-1)/2 on either side (e.g. 3-hr center-aligned roll for Hr 5 will consist of average of Hrs 4, 5 and 6)

• align = "center" for even width: Average of hour of interest and (width/2)-1 hours prior and width/2 hours after (e.g. 4-hr center-aligned roll for Hr 5 will consist of average of Hrs 4, 5, 6 and 7)

Examples

# NOT RUN {
N_M <- Northwest_Megafires
Roseburg <- monitor_subset(N_M, tlim = c(20150821, 20150831),
                           monitorIDs = c("410190002_01"))
monitor_rollingMeanPlot(Roseburg, shadedNight = TRUE)
# }