Plot2VarsVsLTime {s2dv}

Plot two scores with confidence intervals in a common plot

Description

Plot two input variables that have the same dimensions in a common plot. One plot for all experiments. The input variables should have dimensions (nexp/nmod, nltime).

Usage

Plot2VarsVsLTime(
  var1,
  var2,
  toptitle = "",
  ytitle = "",
  monini = 1,
  freq = 12,
  nticks = NULL,
  limits = NULL,
  listexp = c("exp1", "exp2", "exp3"),
  listvars = c("var1", "var2"),
  biglab = FALSE,
  hlines = NULL,
  leg = TRUE,
  siglev = FALSE,
  sizetit = 1,
  show_conf = TRUE,
  fileout = NULL,
  width = 8,
  height = 5,
  size_units = "in",
  res = 100,
  ...
)

Arguments

var1

Matrix of dimensions (nexp/nmod, nltime).

var2

Matrix of dimensions (nexp/nmod, nltime).

toptitle

Main title, optional.

ytitle

Title of Y-axis, optional.

monini

Starting month between 1 and 12. Default = 1.

freq

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

nticks

Number of ticks and labels on the x-axis, optional.

limits

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

listexp

List of experiment names, up to three, optional.

listvars

List of names of input variables, optional.

biglab

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

hlines

c(a, b, ...) Add horizontal black lines at Y-positions a, b, ... The default value is NULL.

leg

TRUE/FALSE if legend should be added or not to the plot. Default = TRUE.

siglev

TRUE/FALSE if significance level should replace confidence interval.
Default = FALSE.

sizetit

Multiplicative factor to change title size, optional.

show_conf

TRUE/FALSE to show/not confidence intervals for input variables.

fileout

Name of output file. Extensions allowed: eps/ps, jpeg, png, pdf, bmp and tiff. The default value is NULL.

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 font font.axis font.lab font.main font.sub lend lheight ljoin lmitre mar mex mfcol mfrow mfg mkh oma omd omi page pch plt smo srt tck tcl usr xaxp xaxs xaxt xlog xpd yaxp yaxs yaxt ylbias ylog
For more information about the parameters see 'par'.

Details

Examples of input:
——————

RMSE error for a number of experiments and along lead-time: (nexp, nltime)

Examples

# Load sample data as in Load() example:
example(Load)
clim <- Clim(sampleData$mod, sampleData$obs)
ano_exp <- Ano(sampleData$mod, clim$clim_exp)
ano_obs <- Ano(sampleData$obs, clim$clim_obs)
runmean_months <- 12
smooth_ano_exp <- Smoothing(data = ano_exp, runmeanlen = runmean_months)
smooth_ano_obs <- Smoothing(data = ano_obs, runmeanlen = runmean_months)
dim_to_mean <- 'member'  # mean along members
required_complete_row <- 'ftime'  # discard startdates for which there are NA leadtimes
leadtimes_per_startdate <- 60
rms <- RMS(MeanDims(smooth_ano_exp, dim_to_mean), 
          MeanDims(smooth_ano_obs, dim_to_mean), 
          comp_dim = required_complete_row, dat_dim = 'dataset',
          limits = c(ceiling((runmean_months + 1) / 2), 
          leadtimes_per_startdate - floor(runmean_months / 2)))
smooth_ano_exp_m_sub <- smooth_ano_exp - InsertDim(MeanDims(smooth_ano_exp, 'member', 
                                                           na.rm = TRUE), 
                                                  posdim = 3, 
                                                  lendim = dim(smooth_ano_exp)['member'], 
                                                  name = 'member')
suppressWarnings({
spread <- Spread(smooth_ano_exp_m_sub, compute_dim = c('member', 'sdate'))
})
#Combine rms outputs into one array 
rms_combine <- abind::abind(rms$conf.lower, rms$rms, rms$conf.upper, along = 0)
rms_combine <- Reorder(rms_combine, c(2, 3, 1, 4))
 
Plot2VarsVsLTime(InsertDim(rms_combine[, , , ], 1, 1), Reorder(spread$sd, c(1, 3, 2)), 
                toptitle = 'RMSE and spread', monini = 11, freq = 12, 
                listexp = c('CMIP5 IC3'), listvar = c('RMSE', 'spread'))