- Merges the training and the test sets to create one data set.
- Extracts only the measurements on the mean and standard deviation for each measurement.
- Uses descriptive activity names to name the activities in the data set
- Appropriately labels the data set with descriptive variable names.
- From the data set in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.
The script will perform transformations to produce a tidy data set and write it to tidyDataSet.txt
.
- tidy up features
- extract he mean and standard deviation features
- read activity labels
- read feature names
- reduce to wanted features
- tidy up test and train datasets and merge
- convert activity and subject columns into factor variables
- transform data, using subject / acitivity pair as key and apply the mean function to each vector of values
- save tidy dataset