James-of-Africa/getdataCourse_project2

Project 2 for the Getting and Cleaning Data Coursera course # Getting and Cleaning Data - Project2 Project 2 for the Getting and Cleaning Data Coursera course Make sure that the dataset d396qusza40orc.cloudfront.n… is unzipped into your R working directory. This should create the data folder 'UCI HAR Dataset' in your working directory. Running the run_analysis.R script from the command line or the repl should generate a summary of the data set in the file 'out.txt'. See the codebook for more information on the output data structure. Summary of the run_analysis.R script * Variable names from the 'features.txt' file are mapped to the data. * The training and test datasets are merged together. * The dataset is filtered down to only the variables that measure mean and standard deviation. + i.e variable names that contain '-mean()' or '-std()' * Activity numbers are mapped to names using the 'activity_labels.txt' file. * The average of each variable for each activity and each subject is then calculated and written to file 'out.txt'. For more detail see the comments in the run_analysis.R file