plotHomog: Plot the graphics for many homogenization methods

Description Usage Arguments Value Author(s) Examples

Description

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

Usage

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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.

Author(s)

Jose Gama

Examples

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# 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)

climtrends documentation built on May 29, 2017, 11:58 p.m.