#+TITLE: Plots in org mode
#+LANGUAGE: en

* 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:

** Sequence plot

#+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:
[[file:./sequence_plot.png]]

** Histogram plot

#+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

#+RESULTS:
[[file:./histogram_plot.png]]