Reading a CSV file in R

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

Highlight the location, right click on it and copy

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

The head method shows the first several rows of data.

Showing file extensions: Find the Control Panel

Switch from categories to Large or small icons

Choose File Explorer Options

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

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.

Plot the data with Volume on the x axis.

Resulting plot

Obtain a linear model for the data.frame

Summary of linear model in Console

Compare to Excel 1

Compare to Excel 2

Use abline to display the fit

Display the equation

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

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

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

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

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