PdfMultiPlot: Plot the Probability Density Functions

In RMOPI: Risk Management and Optimization for Portfolio Investment

Plot the Probability Density Functions

Description

Plot the p.d.f functions for the univariate distribution with data processed by StackRet.

Usage

PdfMultiPlot(data, x, y, Variable)

Arguments

data	a tibble contains x, y and Variable and the last one is the group variable
x	x
y	y
Variable	the group label

Value

A ggplot figure of the probability density functions

Examples

N <- 2**(1:6)
x <- seq(-5, 5, by = 10 / (32 - 1))
a <- -10.0
b <- 10.0
f_x1 <- CosPdfMulti(x, StNormChf, N, a, b)
colnames(f_x1) <- paste("N = 2 ^ ", c(1:6), sep = "")
mt1 <- StackRet(f_x1, x)
colnames(mt1) <- c("x", "y", "Variable")
PdfMultiPlot(mt1, x, y, Variable)

RMOPI documentation built on Aug. 22, 2022, 5:07 p.m.