Intro to Julia

Code - R

Packages

Packages tidyverse, data.table, JuliaCall are run through:

pklist <- c("tidyverse", "data.table", "JuliaCall")
source("https://fgeerolf.com/code/load_pk.R")

## The following packages have been unloaded:
## JuliaCall, data.table, forcats, stringr, dplyr, purrr, readr, tidyr, tibble, ggplot2, tidyverse

## Loading required package: tidyverse

## ── Attaching packages ────────────────────────────────────── tidyverse 1.3.0 ──

## ✓ ggplot2 3.2.1     ✓ purrr   0.3.3
## ✓ tibble  2.1.3     ✓ dplyr   0.8.3
## ✓ tidyr   1.0.0     ✓ stringr 1.4.0
## ✓ readr   1.3.1     ✓ forcats 0.4.0

## ── Conflicts ───────────────────────────────────────── tidyverse_conflicts() ──
## x dplyr::filter() masks stats::filter()
## x dplyr::lag()    masks stats::lag()

## Loading required package: data.table

## 
## Attaching package: 'data.table'

## The following objects are masked from 'package:dplyr':
## 
##     between, first, last

## The following object is masked from 'package:purrr':
## 
##     transpose

## Loading required package: JuliaCall

Julia Commands

h = 0.7;

a = sqrt(2);  # the semicolon inhibits printing

## 1.4142135623730951

print(a)

## 1.4142135623730951

using Plots
gr()

## Plots.GRBackend()

## Plots.GRBackend()
plot(Plots.fakedata(50,5),w=3)

using Distributions

function plothistogram(distribution, n)
    ϵ = rand(distribution, n)  # n draws from distribution
    histogram(ϵ)
end

## plothistogram (generic function with 1 method)

lp = Laplace()

## Laplace{Float64}(μ=0.0, θ=1.0)

plothistogram(lp, 500)