Functions portal species time series (solution)

NoteExercise

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

Write a function that:

• Takes four arguments - 1) a data frame (where each row is one individual and there is a genus and a species column); 2) a time argument that provides the column to use for plotting time (e.g., year); 3) a genus_name argument for choosing which genus to plot; and 4) a species_name argument for choosing which species to plot.
• Makes a plot using ggplot2 with the time on the x-axis, the count of the number of individuals (i.e., the number of rows) on the y-axis, and only plotting data for the species indicated by the genus_name and species_name arguments. The plot should display the data as blue points (with size = 2) connected by blue lines (with linewidth = 1). Make y-axis label Number of Individuals.

1. Use your function, and the data in surveys.csv and species.csv, to plot the time-series for time = year, genus_name = "Dipodomys" and species_name = "merriami"
2. Use your function, and the data in surveys.csv and species.csv, to plot the time-series for time = month, genus_name = "Chaetodipus" and species_name = "penicillatus" (this plot will show the average seasonal pattern of Chaetodipus penicillatus abundances)
3. Use your function, and the data from plots.csv, surveys.csv and species.csv, and dplyr to plot the time-series for time = year, genus_name = "Chaetodipus" and species_name = "baileyi" only on the "Control" plots.

CautionOutput solution

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Rows: 35549 Columns: 9
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (2): species_id, sex
dbl (7): record_id, month, day, year, plot_id, hindfoot_length, weight

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 54 Columns: 4
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (4): species_id, genus, species, taxa

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Rows: 24 Columns: 2
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (1): plot_type
dbl (1): plot_id

ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.