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Getting and Cleaning Data - Course Project

As part of this project,a R script run_analysis.R,is written, which does the following:

• Download the dataset if it does not already exist in the working directory.

• Load the activity and feature info.

• Loads both the training and test datasets, keeping only those columns which reflect a mean or standard deviation

• Loads the activity and subject data for each dataset, and merges those columns with the dataset.

• Merges the two datasets

• Converts the activity and subject columns into factors.

• Creates a tidy dataset that consists of the average (mean) value of each variable for each subject and activity pair.

The end result is shown in the file tidy.txt.