The "UCI HAR Dataset" folder contains raw data set. It has been partitioned into 2 sets: training and test sets
- Gets the list of variable names that contain 'mean()' and 'std()' since only mean and standard deviation measurements are required
- Merges the training and the test sets to create one data set
- Clips the data set with activity labels
- Label the dataset with descriptive variable names
- Add subject column to the data set. Data of this column is obtained from the 'subject_train.txt' and 'subject_test.txt' files
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject using the 'aggregate' function.
CodeBook.md is the codebook of the tidy data set created by run_analysis.
CodeBook.md is generated by running the script codebook.R. You need to run the run_analysis.R first if you haven't
source('codebook.R')