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02-UseR.Rmd

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@@ -892,7 +892,7 @@ The time then remains stable until the number of cores is doubled.
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Figure \@ref(fig:r-parallele) shows the evolution of the computation time according to the number of tasks.
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(ref:r-parallele) Parallel execution time of tasks requiring one second (each task is a one second pause). The number of tasks varies from 1 to twice the number of cores used (equal to ```r nbCores```) plus one.
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```{r r-parallele, fig.cap="(ref:r-parallele)", fig.scap="Temps d'exécution en parallèle", tidy=FALSE}
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```{r r-parallele, fig.cap="(ref:r-parallele)", fig.scap="Execution time in parallel", tidy=FALSE}
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Tasks <- 1:(2 * nbCores+1)
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Time <- sapply(Tasks, function(nbTasks) {
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system.time(mclapply(1:nbTasks, f, time=1, mc.cores=nbCores))

04-Writing.Rmd

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@@ -473,7 +473,7 @@ It is not possible to directly exchange standard R Markdown content with documen
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The *Beamer Presentation* template of **memoiR** allows to create HTML and PDF (beamer) presentations simultaneously, as shown in the example[^rediger-13].
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[^rediger-13]: <https://EricMarcon.github.io/Chao1/>, choisir Lecture (HTML) ou Téléchargement (PDF).
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[^rediger-13]: <https://EricMarcon.github.io/Chao1/>, Choose "Lecture" (Read in HTML) ou "Téléchargement" (Download PDF).
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The approach is identical to that of articles in the same package.
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The title levels allow separating the parts of the presentation (`#`) and the slides (`##`).

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