This project will create an 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 R script run_analysis.R onto your hard drive, preferrably your R working directory
- Run
source("run_analysis.R")in R. The program assumes a folder called data exists in your working directory, and a subfolder called UCI HAR Dataset folder under the data folder containing the unzipped data downloaded from the given web site. - If data or UCI HAR Dataset does not exist in your working directory, the program will create them, download the necessary UCI_HAR_data.zip file from the given web site, and then unzip to the UCI HAR Dataset subfolder.
- The program generates two tidy datasets, one in CSV format and the other in TXT format in the data folder. The UCI_HAR_tidy.csv is easier to read as a spreadsheet, and the UCI_HAR_tidy.txt file is for project submission.
run_analysis.R file assumes "plyr" package is already installed.