Lectures

Wed, 27 Apr 2016 00:00:00 +0000

In this section, you will find my course lectures at the University of Gabès

All websites are in french language (the official leaning language at the university of Gabès)

Risk Management blog

Wed, 27 Apr 2016 00:00:00 +0000

Material Building packages code
build Normal distribution
function to create asymetric distribution

Material Building packages code

To build package use these commands:

 library(devtools)

## Warning: le package 'devtools' a été compilé avec la version R 4.2.3

## Le chargement a nécessité le package : usethis

 library(usethis)

usethis::use_r(“nomdufichier”) : to add R file and write function
devtools::load_all() : to load all related functions to yours
devtools::install() : to install your package
devtools::document() : to document your package using roxygen
usethis::create_package() : to directly create package
usethis::use_git() : to use package version control vith github
devtools::load_all() : to load all source functions to be able to test package
devtools::check() : to check our package
use_data_raw() : create file to build data
usethis::use_data(my data, compress=“xz”): to add data to my package
use_package(“add any package you need”) : add any package to import from to description file

build Normal distribution

x <- seq(-4,4, length=1000)
hx <- dnorm(x,mean=0, sd=1)
plot(x, hx, type="l", xlab = "valeur de x", ylab="density", main="loi normale")

function to create asymetric distribution

fs = function(x,epsilon,delta) dnorm(sinh(delta*asinh(x)-epsilon))*delta*cosh(delta*asinh(x)-epsilon)/sqrt(1+x^2)
vec = seq(-5,5,0.001)
plot(vec,fs(vec,0,1),type="l")
points(vec,fs(vec,-2,1.3),type="l",col="red")
points(vec,fs(vec,1.3,1),type="l",col="blue")

Deep Learning |

Lectures

Risk Management blog

Material Building packages code

build Normal distribution

function to create asymetric distribution