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 the data source and put into a folder on your local drive. You'll have a "UCI HAR Dataset"" folder.
- Put "run_analysis.R" in the folder "UCI HAR Dataset", then set it as your working directory using "setwd()" function in RStudio.
- Run "source("run_analysis.R")", then it will generate a new file "result.txt" in your working directory.
"run_analysis.R" file depends on "reshape2" and "data.table".