You need "data.table" and "reshape2" libraries installed for the script to run If they are not yet installed, use install.packages('data.table') install.packages('reshape2') to install them in R
Download the zip file containing the data from
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
(The data linked to from the course website represent data collected from the accelerometers from the Samsung Galaxy S smartphone. A full description is available at the site where the data was obtained: http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones)
unzip the zipfile into the directory where the R script is so that the R script directory contains the new directory 'UCI HAR Dataset'.
run run_analysis.R and it should produce tidydataset.txt
The run_analysis.R goes through these steps:
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Merges the training and the test sets to create one data set.
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Extracts only the measurements on the mean and standard deviation for each measurement.
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Uses descriptive activity names to name the activities in the data set
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Appropriately labels the data set with descriptive variable names.
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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.