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2024-09-17 22:45:56 +02:00
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---
title: "R Notebook"
output: html_document
---
The [R plugin](https://www.jetbrains.com/help/pycharm/r-plugin-support.html) for IntelliJ-based IDEs provides
handy capabilities to work with the [R Markdown](https://www.jetbrains.com/help/pycharm/r-markdown.html) files.
To [add](https://www.jetbrains.com/help/pycharm/r-markdown.html#add-code-chunk) a new R chunk,
```{r}
```
position the caret at any line or the code chunk, then click "+".
The code chunk appears:
```{r}
```
Type any R code in the chunk, for example:
```{r}
mycars <- within(mtcars, { cyl <- ordered(cyl) })
mycars
```
Now, click the **Run** button on the chunk toolbar to [execute](https://www.jetbrains.com/help/pycharm/r-markdown.html#run-r-code) the chunk code. The result should be placed under the chunk.
Click the **Knit and Open Document** to build and preview an output.

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# Exercice 1 : Uniform
# Exercise 1 : Uniform
```{r}
n <- 10e4
@@ -7,7 +7,7 @@ X <- 5 * (U <= 0.4) + 6 * (0.4 < U & U <= 0.6) + 7 * (0.6 < U & U <= 0.9) + 8 *
barplot(table(X)/n)
```
# Exercice 3 : Box Muller Algo
# Exercise 3 : Box Muller Algo
```{r}
BM <- function(n) {