1. Reading a CSV file in R

2. Download a CSV (comma-separated values) file
Download a CSV (comma-separated values) file. Right click on it and choose properties.

3. Highlight the location, right click on it and copy

4. Turn the back slashes into forward slashes and add the filename (including its extension) and use it the read.csv method
The second “argument” of the read.csv method says TRUE the data file includes headers as the first line.
The third “argument” of the read.csv method says that the delimiter (thing separating the data elements) is a comma

5. The head method shows the first several rows of data.

6. Showing file extensions: Find the Control Panel

7. Switch from categories to Large or small icons

8. Choose File Explorer Options

9. Click on View tab and uncheck the Hide extensions setting. Click Apply.

10. The field names that came in from the CSV file were weird (the original file has parentheses), so I used the names method to rename them.

11. Plot the data with Volume on the x axis.

12. Resulting plot

13. Obtain a linear model for the data.frame

14. Summary of linear model in Console

15. Compare to Excel 1

16. Compare to Excel 2

17. Use abline to display the fit

18. Display the equation

19. If you have an Excel file and want a CSV, then click on File/ Save As

20. Click Browse. Use the Save As type drop-down to choose CSV

21. If the data is in the “working directory” – found by using getwd() – then the file name is enough

22. Another possible change is to use the field names in the axis labels

23. Take the heart rate data below (same as on Friday from the first week of class). Use Excel to convert it to a CSV format file. Read that data into R and make a plot with a linear fit with the equation displayed on the graph.
Speed_in_kph
Pulse_in_bpm 57
1.6 69
3.1 78 4 80 5 85 6 87
6.9 90
7.7 92
8.7 97
12.4
108
15.3
119