plot_sample: It makes a plot by sampling (e.g. monthly) the variables 'x'...

In RMAWGEN: Multi-Site Auto-Regressive Weather GENerator

Description

It makes a plot by sampling (e.g. monthly) the variables x and y

Usage

plot_sample(x, y = normalizeGaussian_severalstations(x =
  as.data.frame(x), data = as.data.frame(data), origin_x = origin_x,
  origin_data = origin_data, sample = sample, step = step, prec = prec)[,
  1], xlim = range(x, na.rm = TRUE), legend_position = "topleft",
  ylim = range(y, na.rm = TRUE), pch = 1, col = 1, col_max = 0.9,
  col_min = 0.1, origin, sample = NULL, xhist = hist(x, breaks =
  breaks, plot = FALSE), yhist = hist(y, breaks = breaks, plot = FALSE),
  axes = FALSE, step = NULL, prec = 1e-04, breaks = 50,
  origin_x = origin, origin_data = origin, data = x, xlab = "",
  ylab = "", color = FALSE, gray = TRUE, sort = FALSE,
  valmin_x = valmin, valmin_y = valmin, valmin = -9999,
  abline = c(0, 1), ...)

Arguments

x	vector of input data
y	vector of second input data. Default is normalizeGaussian_severalstations(x=as.data.frame(x),data=as.data.frame(data),origin_x=origin_x,origin_data=origin_data,sample=sample,step=step,prec=prec)[,1]
xlim, ylim, xlab, ylab	see plot.default (Graphic)
legend_position	legend position. Default is "topleft". See legend.
pch	integer single or multi values for pch (see plot.default). Default is 1.
col	integer single or multi values for col (see plot.default). Default is 1.
col_max	maximum value for color scale to apply to rainbow or rainbow. Utilized if col is not a vector and both gray or color are TRUE. Default is 0.9 .
col_min	minimum value for color scale to apply to rainbow or rainbow. Utilized if col is not a vector and both gray or color are TRUE. Default is 0.1 .
origin	date of the first row of x. See normalizeGaussian_severalstations.
sample	string character containg informatio how to sample x and y. Default is NULL. If NULL no sampling is done.see normalizeGaussian_severalstations. Only NULL or "monthly" options are implemented.
xhist	frequency histogram for x. Default is hist(x,breaks=breaks,plot=FALSE). If it is NULL, no marginal histograms appear.
yhist	frequency histogram for y. Default is hist(y,breaks=breaks,plot=FALSE). If it is NULL, no marginal histograms appear. =hist(y,breaks=breaks,plot=FALSE),
axes	see barplot
step, prec	see normalizeGaussian_severalstations
breaks	see hist
origin_x	see normalizeGaussian_severalstations. Default value is set equal to origin.
origin_data	normalizeGaussian_severalstations. Default value is set equal to origin.
data	normalizeGaussian_severalstations. Default value is set equal to x.
color	logical value. If TRUE and if col is unspecified, a color scale is applied according to col_min and col_max (see rainbow). Default is FALSE.
gray	logical value. If TRUE and if col is unspecified, a color scale is applied according to col_min and col_max (see gray). Default is TRUE.
sort	logical value. If TRUE, x and y are sorted and a Q-Q plot is presented. Deafault is FALSE.
valmin_x	numerical threshold value over which the variable x is plotted. It is enabled only if sort is set TRUE.
valmin_y	numerical threshold value over which the variable y is plotted. It is enabled only if sort is set TRUE.
valmin	numerical threshold value for valmin_y and valmin_x if there are not specified.
abline	arguments for abline function. Default is c(0,1). If it is NULL, abline is disabled and not called.
...	see graphical parametes on plot.default @usage plot_sample(x, y = normalizeGaussian_severalstations(x = as.data.frame(x), data = as.data.frame(data), origin_x = origin_x, origin_data = origin_data, sample = sample, step = step, prec = prec)[, 1], xlim = range(x, na.rm = TRUE), legend_position = "topleft", ylim = range(y, na.rm = TRUE), pch = 1, col = 1, col_max = 0.9, col_min = 0.1, origin, sample = NULL, xhist = hist(x, breaks = breaks, plot = FALSE), yhist = hist(y, breaks = breaks, plot = FALSE), axes = FALSE, step = NULL, prec = 1e-04, breaks = 50, origin_x = origin, origin_data = origin, data = x, xlab = "", ylab = "", color = FALSE, gray = TRUE, sort = FALSE, valmin_x = valmin, valmin_y = valmin, valmin = -9999, abline = c(0, 1), ...)

Value

0 in case of success

Note

It makes a plot betwee x and y and shows thair respective probibilty histograms. If y is missing, it is automatically calculated as one-dimensional Gaussianization of x through the function normalizeGaussian_severalstations.

See Also

plot.default,extractmonths, see normalizeGaussian_severalstations

Examples

## Not run: 

library(lubridate)
data(trentino)
plot_sample(x=TEMPERATURE_MIN$T0090,sample="monthly",
 origin="1958-1-1",axes=FALSE,xlab="Tn [ degC]",
 ylab="x")

set.seed(123456) 
z <- rexp(10000,rate=0.5) 
x <- normalizeGaussian(x=z,data=z) 
plot_sample(x=z,xlab="z",ylab="x")

## End(Not run)

RMAWGEN documentation built on Dec. 12, 2019, 9:07 a.m.