climtrends (version 1.0.5)

PlotHomog: Plot the graphics for many homogenization methods

Description

PlotHomog plot the graphics for many homogenization methods with an indication of the peak and significance levels.

Usage

PlotHomog(dataYearSeries=NA,refYearSeries=NA,diffFlag=TRUE,
homogenization=SNHTabsolute,levelSignificance=c(99,95),
criticalValues=climtrends::SNHT.Critical.Values,posLegend="topright",rowbycol=NULL)

Arguments

dataYearSeries

dataframe with climate data

refYearSeries

dataframe with climate data (reference)

diffFlag

logical TRUE=difference, FALSE=ratio

homogenization

homogenization test

levelSignificance

level of significance

criticalValues

critical values for the homogenization test

posLegend

position of the legend

rowbycol

vector with (rows, columns)

Value

• none.

Examples

# xgdcnCA008201000.dat is from ECA COLLEGEVILLE temperature
setwd(system.file('extdata/', package='climtrends'))
dailyCollegeville <- ReadGHCNymd('xgdcnCA008201000.dat')
yearlyCollegeville=YearFuncFromDay(dailyCollegeville)
colnames(yearlyCollegeville) <- c('year','temperature')
PlotHomog(yearlyCollegeville)