3 R
Playground
3.1 Introduction
This page provides a WebR
cell for you to use as a playground to experiment with some example datasets. You can use this page to explore data management and visualisation in R
.
3.2 Playground
3.3 Things you can do
This WebR
instance has three packages installed:
ggplot2
GGally
tidyverse
palmerpenguins
Open the callout boxes below to see some examples you can try in the code cell above.
One of our BM214 workshops involves a WebR
-supported interactive exercise involving simulated reporter curves. We preload this data in the setup
cell (see source code), and you can interact with it below with the code:
<- read.csv("reporter_curves.csv")
data glimpse(data)
The penguins
dataset contains data about three different species of penguins. Take a look at the format of the dataset:
glimpse(penguins)
You’ll see there are eight variables, including species
, weight
, sex
, etc. - some of these variables are categorical (i.e. a category, like species
), and others are continuous (i.e. numerical). You can see a visual overview of how the data is related using the plot()
function:
plot(penguins)
We can visualise the number of penguins of each species in a bar chart:
<- ggplot(penguins, aes(species, fill=species)) +
fig geom_bar()
fig
And break this down in a facet plot, by sex:
<- ggplot(penguins, aes(species, fill=species)) +
fig geom_bar() +
facet_wrap(~sex)
fig
We can make a box and whisker plot of penguin body mass by species:
<- ggplot(penguins, aes(x=species, y=body_mass_g, fill=species)) +
fig geom_boxplot()
fig
And plot the body mass for each sex side-by-side
<- ggplot(penguins, aes(x=species, y=body_mass_g, fill=sex)) +
fig geom_boxplot()
fig
We can investigate correlations, such as between body mass and flipper length:
<- ggplot(penguins, aes(x=body_mass_g, y=flipper_length_mm)) +
fig geom_point()
fig
We can colour datapoints by species:
<- ggplot(penguins, aes(x=body_mass_g, y=flipper_length_mm, colour=species)) +
fig geom_point()
fig
And fit a linear regression to each species separately:
<- ggplot(penguins, aes(x=body_mass_g, y=flipper_length_mm, colour=species)) +
fig geom_point() +
geom_smooth(method="lm")
fig
R
comes with a number of example datasets you can practice with, including:
mtcars
: fuel consumption and other statistic for 32 automobilesTitanic
: information on the fate of passengers on the fatal maiden voyage of the ocean liner Titanic
You can see a full list by running the command
library(help = "datasets")