s2dverification (version 2.8.6)

PlotACC: Plot Plumes/Timeseries Of Anomaly Correlation Coefficients

Description

Plots plumes/timeseries of ACC from an array with dimensions (output from ACC()): c(nexp, nobs, nsdates, nltime, 4) where the fourth dimension is of length 4 and contains the lower limit of the 95% confidence interval, the ACC, the upper limit of the 95% confidence interval and the 95% significance level given by a one-sided T-test.

Usage

PlotACC(ACC, sdates, toptitle = "", sizetit = 1, ytitle = "",
  limits = NULL, legends = NULL, freq = 12, biglab = FALSE,
  fill = FALSE, linezero = FALSE, points = TRUE, vlines = NULL,
  fileout = "output_PlotACC.eps", width = 8, height = 5,
  size_units = "in", res = 100, ...)

Arguments

ACC

ACC matrix with with dimensions: c(nexp, nobs, nsdates, nltime, 4) with the fourth dimension of length 4 containing the lower limit of the 95% confidence interval, the ACC, the upper limit of the 95% confidence interval and the 95% significance level.

sdates

List of startdates: c('YYYYMMDD','YYYYMMDD').

toptitle

Main title, optional.

sizetit

Multiplicative factor to scale title size, optional.

ytitle

Title of Y-axis for each experiment: c('',''), optional.

limits

c(lower limit, upper limit): limits of the Y-axis, optional.

legends

List of flags (characters) to be written in the legend, optional.

freq

1 = yearly, 12 = monthly, 4 = seasonal, ... Default: 12.

biglab

TRUE/FALSE for presentation/paper plot, Default = FALSE.

fill

TRUE/FALSE if filled confidence interval. Default = FALSE.

linezero

TRUE/FALSE if a line at y=0 should be added. Default = FALSE.

points

TRUE/FALSE if points instead of lines. Default = TRUE. Must be TRUE if only 1 leadtime.

vlines

List of x location where to add vertical black lines, optional.

fileout

Name of output file. Extensions allowed: eps/ps, jpeg, png, pdf, bmp and tiff. Default = 'output_PlotACC.eps'

width

File width, in the units specified in the parameter size_units (inches by default). Takes 8 by default.

height

File height, in the units specified in the parameter size_units (inches by default). Takes 5 by default.

size_units

Units of the size of the device (file or window) to plot in. Inches ('in') by default. See ?Devices and the creator function of the corresponding device.

res

Resolution of the device (file or window) to plot in. See ?Devices and the creator function of the corresponding device.

…

Arguments to be passed to the method. Only accepts the following graphical parameters: adj ann ask bg bty cex.sub cin col.axis col.lab col.main col.sub cra crt csi cxy err family fg fig fin font font.axis font.lab font.main font.sub lend lheight ljoin lmitre mar mex mfcol mfrow mfg mkh oma omd omi page plt smo srt tck tcl usr xaxp xaxs xaxt xlog xpd yaxp yaxs yaxt ylbias ylog For more information about the parameters see `par`.

Examples

# NOT RUN {
# See examples on Load() to understand the first lines in this example
 
# }
# NOT RUN {
data_path <- system.file('sample_data', package = 's2dverification')
expA <- list(name = 'experiment', path = file.path(data_path,
            'model/$EXP_NAME$/$STORE_FREQ$_mean/$VAR_NAME$_3hourly',
            '$VAR_NAME$_$START_DATE$.nc'))
obsX <- list(name = 'observation', path = file.path(data_path,
            '$OBS_NAME$/$STORE_FREQ$_mean/$VAR_NAME$',
            '$VAR_NAME$_$YEAR$$MONTH$.nc'))

# Now we are ready to use Load().
startDates <- c('19851101', '19901101', '19951101', '20001101', '20051101')
sampleData <- Load('tos', list(expA), list(obsX), startDates,
                  leadtimemin = 1, leadtimemax = 4, output = 'lonlat',
                  latmin = 27, latmax = 48, lonmin = -12, lonmax = 40)
 
# }
# NOT RUN {
 
# }
# NOT RUN {
sampleData$mod <- Season(sampleData$mod, 4, 11, 12, 2)
sampleData$obs <- Season(sampleData$obs, 4, 11, 12, 2)
clim <- Clim(sampleData$mod, sampleData$obs)
ano_exp <- Ano(sampleData$mod, clim$clim_exp)
ano_obs <- Ano(sampleData$obs, clim$clim_obs)
acc <- ACC(Mean1Dim(sampleData$mod, 2), 
          Mean1Dim(sampleData$obs, 2))
 
# }
# NOT RUN {
PlotACC(acc$ACC, startDates, toptitle = "Anomaly Correlation Coefficient")

 
# }