diff --git a/module2/exo3/exercice_R_en.Rmd b/module2/exo3/exercice_R_en.Rmd index 526112f79a0a28ab86719c15bf21fe415ef4e7de..bbf5687c7b6ad153aecac973f93e729e0c6eb613 100644 --- a/module2/exo3/exercice_R_en.Rmd +++ b/module2/exo3/exercice_R_en.Rmd @@ -24,14 +24,6 @@ min(x) median(x) max(x) mean(x) +plot(x, type="l", col="blue") +hist(x,col="blue" ) ``` - -## Including Plots - -You can also embed plots, for example: - -```{r pressure, echo=FALSE} -plot(pressure) -``` - -Note that the `echo = FALSE` parameter was added to the code chunk to prevent printing of the R code that generated the plot. diff --git a/module2/exo3/exercice_R_en.html b/module2/exo3/exercice_R_en.html new file mode 100644 index 0000000000000000000000000000000000000000..6f7cda2f93fbb42a9c79f5f40de92f1fd3bec622 --- /dev/null +++ b/module2/exo3/exercice_R_en.html @@ -0,0 +1,431 @@ + + + + + + + + + + + + + +Untitled + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
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R Markdown

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This is an R Markdown document. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.

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When you click the Knit button a document will be generated that includes both content as well as the output of any embedded R code chunks within the document. You can embed an R code chunk like this:

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x = c(14.0, 7.6, 11.2, 12.8, 12.5, 9.9, 14.9, 9.4, 16.9, 10.2, 14.9, 18.1, 7.3, 9.8, 10.9,12.2, 9.9, 2.9, 2.8, 15.4, 15.7, 9.7, 13.1, 13.2, 12.3, 11.7, 16.0, 12.4, 17.9, 12.2, 16.2, 18.7, 8.9, 11.9, 12.1, 14.6, 12.1, 4.7, 3.9, 16.9, 16.8, 11.3, 14.4, 15.7, 14.0, 13.6, 18.0, 13.6, 19.9, 13.7, 17.0, 20.5, 9.9, 12.5, 13.2, 16.1, 13.5, 6.3, 6.4, 17.6, 19.1, 12.8, 15.5, 16.3, 15.2, 14.6, 19.1, 14.4, 21.4, 15.1, 19.6, 21.7, 11.3, 15.0, 14.3, 16.8, 14.0, 6.8, 8.2, 19.9, 20.4, 14.6, 16.4, 18.7, 16.8, 15.8, 20.4, 15.8, 22.4, 16.2, 20.3, 23.4, 12.1, 15.5, 15.4, 18.4, 15.7, 10.2, 8.9, 21.0)
+sd(x)
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## [1] 4.334094
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min(x)
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## [1] 2.8
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median(x)
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## [1] 14.5
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max(x)
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## [1] 23.4
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mean(x)
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## [1] 14.113
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plot(x, type="l", col="blue")
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hist(x,col="blue" )
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