In wardfont/edcpR: Ecological Data Collection and Processing Package

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>"
)

library(edcpR)

Please complete the following problems.

Remember:

• R is case-sensitive. Make sure you store your answers using the exact name specified.
• You will be graded on:
• The correctness of your answers.
• The efficiency of your code. Don't make your script unnecessarily long and only do the essential steps.
• The clarity of your code. Make sure you explain the steps in your script with annotations (#). Without comments, we don't know if you understand what is happening.

Data

Load in the data you will need as follows:

data(vegdata_a2,  package = "edcpR")

Part 1

Check the structure of the vegdata_a2 dataset:

• Correct data types if incorrect.
• TIP: cover values are best converted to numerical.
• TIP: Character types which show clear categories are best converted to factor.
• Check for NA's. Remove rows containing an NA-value from the data frame.
• Check for incorrect values. Correct if necessary.
• Assign your final, clean data frame to an object called my_df_1.

Part 2

Are there any outlier values in the Elevation variable from my_df_1? If so, identify the outliers and remove the corresponding rows from the data frame. Save the new data frame in an object called my_df_2.

Part 3

Create a scatterplot using the ggplot2 package, meeting the following criteria:

• Use data from my_df_2.
• Elevation plotted on the x-axis & Litter cover on the y-axis.
• Use different colours for each Vegetation Type (i.e. Forest, Grassland & Shrubland)
• Use a theme with white background and gray grid lines
• Add a centred title: "Relation between Litter Cover and Elevation"
• Add a centred subtitle: "Relationship broken down by Vegetation Type"
• Add your name as a caption to the figure.

Upload

Upload the following files to Toledo:

• Your R-script as Surname_FirstName_assignment2.R.
• Your scatterplot as Surname_FirstName_assignment2.png. Make sure everything on the graph is readible!

Remember to upload everything before October 27, 12 am (= at noon!).

wardfont/edcpR documentation built on Dec. 23, 2021, 5:07 p.m.