plotDiurnal: Plot average diurnal patterns

Description Usage Arguments Details Author(s) Examples

View source: R/plotDiurnal.r

Description

Calculating and plotting the diurnal pattern of any variable with the option to use mean or both mean and median. There is also an option to plot quantiles.

Usage

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plotDiurnal(data, xVar, hourX, dataY = NULL, yVar = NULL, hourY = NULL,
median = FALSE, quantiles = FALSE, probs = c(0.05, 0.95),
stdev = FALSE, sterr = FALSE, legend = FALSE, legendSide = NULL,
legendText = NULL, type = "l", lty = c(1, 4), col = c(1, 2),
cex.legend = 1, horiz.legend = TRUE, ylab = "Mean", xlab = "Hour", ...)

Arguments

data

The data frame to plot

xVar

The variable to plot

hourX

The hour variable associated with the X variable

dataY

A second data frame to plot (optional)

yVar

A second optional variable to plot.

hourY

The hour variable associated with the Y variable, also optional.

median

Logical. If TRUE the median is also plotted with the mean.

quantiles

Logical. If TRUE the quantiles will be plotted as a colour band

probs

An array of the quantiles to use. The default is 0.05 and 0.95 (5th and 95th).

stdev

Logical. If True the standard deviation is plotted as a colour band

sterr

Logical. If True the standard error is plotted as a colour band

legend

Logical. If TRUE a legend will be plotted.

legendSide

The side of the plot to place the legend.

legendText

The text to use for legend.

type

The type of plot. The default is a line plot.

lty

The type of line when a line plot is used.

col

The colour to use for the lines or points. It can be a single values or an array.

cex.legend

The size of the legend labels.

horiz.legend

A logical parameter. If TRUE the legend is will be placed horizontally.

ylab

The y-axis label.

xlab

The x-axis label.

...

Further graphical options.

Details

The function first aggregates the given variable to half hourly and plots by default the mean. The median can also be plotted with the mean. There is an optional graphical output for quantiles. By default is the 5th and 95th but other quantiles can be used. There are two separate hourly inputs to the functions to allow plotting variables from different data frames.

Author(s)

Georgios Xenakis

Examples

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## Load the data
data(fluxes)

## Clean and despike the fluxes
fluxes=cleanFluxes(fluxes,sdCor=TRUE,sdTimes=3,distCor=TRUE,timesList=3,
thresholdList=list(H=c(-100,1000),LE=c(-100,1000)))	

## Create timestamp
fluxes=createTimestamp(fluxes)

## Plot the diurnal patterns
plotDiurnal(fluxes, xVar="H", hourX="hour",yVar="LE",hourY="hour",
median=TRUE,stdev=TRUE,ylim=c(-100,400),lty=c(1,2,3,4),col=c(1,2,3,4),
legend=TRUE,legendSide='topleft',legendText=c("sensible heat","latent heat"),
lwd=2,ylab="Heat (W/m"^2~")",main="Harwood forest",cex.legend=0.9,
horiz.legend=FALSE)

abline(h=0,lty=2)

Example output



FREddyPro documentation built on May 29, 2017, 7:22 p.m.