dplyr

Portal Data Review

If surveys.csv, species.csv, and plots.csv are not available in your workspace download them:

• surveys.csv
• species.csv
• plots.csv

Load them into R using read.csv().

1. Create a data frame with only data for the species_id DO, with the columns year, month, day, species_id, and weight.
2. Create a data frame with only data for species IDs PP and PB and for years starting in 1995, with the columns year, species_id, and hindfoot_length, with no null values for hindfoot_length.
3. Create a data frame with the average hindfoot_length for each species_id in each year with no null values.
4. Create a data frame with the year, genus, species, weight and plot_type for all cases where the genus is "Dipodomys".
5. Make a scatter plot with weight on the x-axis and hindfoot_length on the y-axis. Use a log10 scale on the x-axis. Color the points by species_id. Include good axis labels.
6. Make a histogram of weights with a separate subplot for each species_id. Do not include species with no weights. Set the scales argument to "free_y" so that the y-axes can vary. Include good axis labels.
7. (Challenge) Make a plot with histograms of the weights of three species, PP, PB, and DM, colored by species_id, with a different facet (i.e., subplot) for each of three plot_type’s Control, Long-term Krat Exclosure, and Short-term Krat Exclosure. Include good axis labels and a title for the plot. Export the plot to a png file.

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