Throughout the semester, we may need a few datasets for our hands-on tutorial sessions. All the data we use in class are available on the Dropbox drive. Please download the data from the following Dropbox Drive (password-protected) and save the data files under your working directory. (You donโt have to download all files on the drive. Instead, you can download the specific file you need for a particular task/week/assignment.)
It is highly recommended that you create a Working_Directory
to save all the course materials. Under your working directory, you place the data files under a sub-directory, called demo_data
. Also under your Working_Directory
are all the R script files you create or download. This is the directory structure I use for the course materials.
With the above folder structure, if you want to access a particular file in the demo_data
in your R script, you may access it using the following path:
Path_to_Your_Working_Directory/demo_data/dataset1.csv
demo_data/dataset1.csv
A final note is that it is strongly recommended to always set your working directory of the R environment to your course Working_Directory
before you run the scripts.
A few more suggestions regarding the naming of the files and directories:
_
)The above principles should apply to all the intermediate directories on the path that leads to your Working_Directory
. Sticking to these principles will definitely make your life much easier. Please trust me.