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f5c490e9182da42b1c30e92aadd353a4
mooc-rr
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5424c37c
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5424c37c
authored
May 02, 2020
by
Alexandre Jesus
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Make exercise 3
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module2/exo3/exercice_R_en.org
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#+TITLE: Your title
#+AUTHOR: Your name
#+DATE: Today's date
#+TITLE: Plots in org mode
#+LANGUAGE: en
# #+PROPERTY: header-args :eval never-export
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/htmlize.css"/>
#+HTML_HEAD: <link rel="stylesheet" type="text/css" href="http://www.pirilampo.org/styles/readtheorg/css/readtheorg.css"/>
#+HTML_HEAD: <script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.3/jquery.min.js"></script>
#+HTML_HEAD: <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.4/js/bootstrap.min.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/lib/js/jquery.stickytableheaders.js"></script>
#+HTML_HEAD: <script type="text/javascript" src="http://www.pirilampo.org/styles/readtheorg/js/readtheorg.js"></script>
* Some explanations
This is an org-mode document with code examples in R. Once opened in
Emacs, this document can easily be exported to HTML, PDF, and Office
formats. For more information on org-mode, see
https://orgmode.org/guide/.
When you type the shortcut =C-c C-e h o=, this document will be
exported as HTML. All the code in it will be re-executed, and the
results will be retrieved and included into the exported document. If
you do not want to re-execute all code each time, you can delete the #
and the space before ~#+PROPERTY:~ in the header of this document.
Like we showed in the video, R code is included as follows (and is
exxecuted by typing ~C-c C-c~):
#+begin_src R :results output :exports both
print("Hello world!")
#+end_src
* Plotting
First we put the dataset in a variable
#+BEGIN_SRC R :results output :exports src :session *R*
y <- 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)
df <- data.frame(x = seq(0, length(y)-1), y = y)
#+END_SRC
#+RESULTS:
: [1] "Hello world!"
And now the same but in an R session. This is the most frequent
situation, because R is really an interactive language. With a
session, R's state, i.e. the values of all the variables, remains
persistent from one code block to the next. The code is still executed
using ~C-c C-c~.
** Sequence plot
#+begin_src R :results output :session *R* :exports both
summary(cars)
#+end_src
#+BEGIN_SRC R :results output graphics :exports both :file ./sequence_plot.png :width 600 :height 400 :session *R*
library(ggplot2)
ggplot(df, aes(x = x, y = y)) +
geom_line() +
theme_bw()
#+END_SRC
#+RESULTS:
: speed dist
: Min. : 4.0 Min. : 2.00
: 1st Qu.:12.0 1st Qu.: 26.00
: Median :15.0 Median : 36.00
: Mean :15.4 Mean : 42.98
: 3rd Qu.:19.0 3rd Qu.: 56.00
: Max. :25.0 Max. :120.00
Finally, an example for graphical output:
#+begin_src R :results output graphics :file "./cars.png" :exports results :width 600 :height 400 :session *R*
plot(cars)
#+end_src
[[file:./sequence_plot.png]]
#+RESULTS:
[[file:./cars.png]]
** Histogram plot
Note the parameter ~:exports results~, which indicates that the code
will not appear in the exported document. We recommend that in the
context of this MOOC, you always leave this parameter setting as
~:exports both~, because we want your analyses to be perfectly
transparent and reproducible.
#+BEGIN_SRC R :results output graphics :exports both :file ./histogram_plot.png :width 600 :height 400 :session *R*
library(ggplot2)
ggplot(df, aes(x = y)) +
geom_histogram(bins=10) +
theme_bw()
#+END_SRC
Watch out: the figure generated by the code block is /not/ stored in
the org document. It's a plain file, here named ~cars.png~. You have
to commit it explicitly if you want your analysis to be legible and
understandable on GitLab.
#+RESULTS:
[[file:./histogram_plot.png]]
Finally, don't forget that we provide in the resource section of this
MOOC a configuration with a few keyboard shortcuts that allow you to
quickly create code blocks in R by typing ~<r~ or ~<R~ followed by
~Tab~.
Now it's your turn! You can delete all this information and replace it
by your computational document.
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