PlotBoxWhisker {s2dv}

Box-And-Whisker Plot of Time Series with Ensemble Distribution

Description

Produce time series of box-and-whisker plot showing the distribution of the members of a forecast vs. the observed evolution. The correlation between forecast and observational data is calculated and displayed. Only works for n-monthly to n-yearly time series.

Usage

PlotBoxWhisker(
  exp,
  obs,
  toptitle = "",
  ytitle = "",
  monini = 1,
  yearini = 0,
  freq = 1,
  expname = "exp 1",
  obsname = "obs 1",
  drawleg = TRUE,
  fileout = NULL,
  width = 8,
  height = 5,
  size_units = "in",
  res = 100,
  ...
)

Arguments

exp

Forecast array of multi-member time series, e.g., the NAO index of one experiment. The expected dimensions are c(members, start dates/forecast horizons). A vector with only the time dimension can also be provided. Only monthly or lower frequency time series are supported. See parameter freq.

obs

Observational vector or array of time series, e.g., the NAO index of the observations that correspond the forecast data in exp. The expected dimensions are c(start dates/forecast horizons) or c(1, start dates/forecast horizons). Only monthly or lower frequency time series are supported. See parameter freq.

toptitle

Character string to be drawn as figure title.

ytitle

Character string to be drawn as y-axis title.

monini

Number of the month of the first time step, from 1 to 12.

yearini

Year of the first time step.

freq

Frequency of the provided time series: 1 = yearly, 12 = monthly,

expname

Experimental dataset name.

obsname

Name of the observational reference dataset.

drawleg

TRUE/FALSE: whether to draw the legend or not.

fileout

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

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:
ann ask bg cex.lab cex.sub cin col.axis col.lab col.main col.sub cra crt csi cxy err family fg fig font font.axis font.lab font.main font.sub lend lheight ljoin lmitre mex mfcol mfrow mfg mkh oma omd omi page pin plt pty smo srt tck tcl usr xaxp xaxs xaxt xlog xpd yaxp yaxs yaxt ylbias ylog
For more information about the parameters see 'par'.

Value

Generates a file at the path specified via fileout.

Author(s)

History:
0.1 - 2013-09 (F. Lienert, [e-mail]) - Original code
0.2 - 2015-03 (L. Batte, [e-mail]) - Removed all
normalization for sake of clarity. 1.0 - 2016-03 (N. Manubens, [e-mail]) - Formatting to R CRAN

See Also

EOF, ProjectField, NAO

Examples

# 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)
 
## End(Not run)
 
# Now ready to compute the EOFs and project on, for example, the first 
# variability mode.
ano <- Ano_CrossValid(sampleData$mod, sampleData$obs)
ano_exp <- array(ano$exp, dim = dim(ano$exp)[-2])
ano_obs <- array(ano$obs, dim = dim(ano$obs)[-2])
nao <- NAO(ano_exp, ano_obs, sampleData$lat, sampleData$lon)
# Finally plot the nao index
 ## Not run: 
nao$exp <- Reorder(nao$exp, c(2, 1))
nao$obs <- Reorder(nao$obs, c(2, 1))
PlotBoxWhisker(nao$exp, nao$obs, "NAO index, DJF", "NAO index (PC1) TOS", 
              monini = 12, yearini = 1985, freq = 1, "Exp. A", "Obs. X")
 
## End(Not run)