The UHURU data set

In-class Activity (20 min): Acacia and ants

Exercise 1. Scatterplots

1. Make a scatter plot with CIRC on the x axis and AXIS1 (the maximum canopy width) on the y axis. Label the x axis “Circumference” and the y axis “Canopy Diameter”.
2. The same plot as (1), but with both axes scaled logarithmically (using scale_x_log10() and scale_y_log10()).
3. The same plot as (1), but with points colored based on the ANT column (the species of ant symbiont living with the acacia)
4. The same plot as (3)), but instead of different colors show different species of ant (values of ANT column) each in a separate subplot.
5. The same plot as (4) but add a simple model of the data by adding geom_smooth().

Exercise 2. Histograms

1. Make a bar plot of the number of acacia with each mutualist ant species (using the ANT column).
2. Make a histogram of the height of acacia (using the HEIGHT column). Label the x axis “Height (m)” and the y axis “Number of acacia trees”.
3. Make a plot that shows histograms of both AXIS1 and AXIS2. Due to the way the data is structured you’ll need to add a 2nd geom_histogram() layer that specifies a new aesthetic. To make it possible to see both sets of bars you’ll need to make them transparent with the optional argument alpha = 0.3. Set the color for AXIS1 to “red” and AXIS2 to “black” using the fill = argument. Label the x axis “Canopy Diameter(m)” and the y axis “Number of Acacia”.
4. Use facet_wrap() to make the same plot as (3) but with one subplot for each experimental treatment in TREATMENT. Set the number of bins in the histogram to 10.

Once your are done with the exercises:

1. Save your .Rmd file and knit to PDF.
2. Add the two files, commit and push to GitHub
3. Let your instructor know that changes have been published on GitHub

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