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 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.
- Set you working directory where you prefer
- Copy the 'run_analysis.R' script file in the working directory
- launch the script with source("run_analysis.R")
- the raw data file will be downloaded from the repository into the working directory
- the downloaded file will be unzipped in a subfolder named 'UCI HAR Dataset'
- the output file named 'tidyData.txt' will be created in the working directory
- utils
- plyar
- data.tables