Lecture notes for lab 3

# Notes Lab 3

This contains a clean version of the scripts used during the lab. 

packages.R

# There are two ways to access a function from a package
# Consider the function `mutate` from the package `dplyr`

# First option:
dplyr::mutate() # <- [name of package]::[name of object]

# Second option:
library(dplyr) # Attach the package
mutate() # use the function

# The second option is easier, but bears the problem of masking functions from other packages

# For more information see the tutorial:
https://researchmethodology25spring.netlify.app/content/tutorials/first-steps/#r-packages

paths-here.R

here::i_am("R/paths-here.R") # <- this line must be part of every scrip
# It must provide the relative path to the script, relative to the working directory

here::here() # Use function here from package here (same name for package and function!)
# This function returns a string with the absolute path to your working directory
# The string will always be tailored to the computer on which you call the function
# Therefore, your script is portable!

here::here("data/example.csv") # <- if you pass a relative path to the function, it
# constructs an absolute path, tailored to the computer on which you call the function
# NOTE: this function just creates the path, it does not reads the file or anything else!

# For more information see the tutorial:
# https://researchmethodology25spring.netlify.app/content/tutorials/setting-up-an-r-project/