PlotPDFsOLE | R Documentation |
This function plots two probability density gaussian functions and the optimal linear estimation (OLE) as result of combining them.
PlotPDFsOLE(
pdf_1,
pdf_2,
nsigma = 3,
legendPos = "bottom",
legendSize = 1,
plotfile = NULL,
width = 30,
height = 15,
units = "cm",
dpi = 300
)
pdf_1 |
A numeric array with a dimension named 'statistic', containg two parameters: mean' and 'standard deviation' of the first gaussian pdf to combining. |
pdf_2 |
A numeric array with a dimension named 'statistic', containg two parameters: mean' and 'standard deviation' of the second gaussian pdf to combining. |
nsigma |
(optional) A numeric value for setting the limits of X axis. (Default nsigma = 3). |
legendPos |
(optional) A character value for setting the position of the legend ("bottom", "top", "right" or "left")(Default 'bottom'). |
legendSize |
(optional) A numeric value for setting the size of the legend text. (Default 1.0). |
plotfile |
(optional) A filename where the plot will be saved. (Default: the plot is not saved). |
width |
(optional) A numeric value indicating the plot width in units ("in", "cm", or "mm"). (Default width = 30). |
height |
(optional) A numeric value indicating the plot height. (Default height = 15). |
units |
(optional) A character value indicating the plot size unit. (Default units = 'cm'). |
dpi |
(optional) A numeric value indicating the plot resolution. (Default dpi = 300). |
PlotPDFsOLE() returns a ggplot object containing the plot.
Eroteida Sanchez-Garcia - AEMET, esanchezg@aemet.es
# Example 1
pdf_1 <- c(1.1,0.6)
attr(pdf_1, "name") <- "NAO1"
dim(pdf_1) <- c(statistic = 2)
pdf_2 <- c(1,0.5)
attr(pdf_2, "name") <- "NAO2"
dim(pdf_2) <- c(statistic = 2)
PlotPDFsOLE(pdf_1, pdf_2)
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