To use the script, you need to download the data and switch to the directory where the data was stored. Then you can use source("run_analysis.R") run_analysis() to make a tidy data. In the script I attached the features and activities names to the data and subsetted only the mean and standard deviation of each measurements. Then I figured the mean of variables for each activity and each subject. The tidy data was saved in txt format and maybe you can use read.table() to read it into R.