Learning Objectives

Following this assignment students should be able to:

• Read files in R
• Understand data manipulation functions in R
• Summarise dataframes
• Subset dataframes
• Write csv files
• Create basic plots

Exercises

Assignment 1 (Homework)

1. Download the R code handout here
2. Download the data from here
   • You can also download the data directly using the following R function:

     download.file("https://ndownloader.figshare.com/files/2292169", "./dataFolder/mydata.csv")
     

3. Import the data file you just downloaded and complete the task listed on the R code handout
   • You can read the data file (.csv) in R using either the read.csv function or the read_csv function from the tidyverse package

mydata<-read.csv("./dataFolder/mydata.csv")

library(tidyverse)
mydata<-read_csv("./dataFolder/mydata.csv")

• You can use the lecture slides here as reference, but you can also use other sources like cheat sheets and google.

Expected assignment outputs

• As as reference, the following are the outputs expected for each of the tasks listed in the handout.

Assignment 2 (in class)

1. Accept the “Manipulating data” assignment here
2. Clone your repository in a local directory using Rstudio
3. For this assignment, we are going to use the Trait plant data from:
   • Razafindratsima OH, Brown KA, Carvalho F, Johnson SE, Wright PC, Dunham AE (2017) Data from: Edge effects on components of diversity and above-ground biomass in a tropical rainforest. Dryad Digital Repository. https://doi.org/10.5061/dryad.jn743
4. Go to this link and download the .xlsx file.
5. Open the file in a spreadsheet program and save the trait tab into a .csv file (comma delimited)
6. In the “code.R” file from the assignment repository, write the necessary R code to:
   • Read the csv file
   • Show the number of unique families found in the data frame
   • Show the number of species in each family
   • Calculate the average fruit width in cm per dispersal mode
   • Create a csv file with all the species that are dispersed by lemurs and have a fruit length > 8 mm
   • Plot the average fruit length per seed size category using (A) all the data, and (B) the lemur subset data

Notes: Do not forget to commit and push your main changes