You should create one R script called run_analysis.R that does the following.
- 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 activity names.
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
- Download and extract the data sources with its original folder structure
- Put the 'run_analysis.R' file in the parent folder of the extracted datasets folder and run it.
- find the 'tiny_data.txt' file in the same working folder as the R script file.
- reshape2
- data.table