added code to down load data if its not already present locally
fixed down load, cat and paste do not work as expected. they create a " " space, use sprint
down load data file and unzip into data/UCI\ HAR\ Dataset
added down load date
added code to read XTest data
combined the test and training data
find all the features with either 'mean' or 'std' in their name
save X to disk
figured out how to convert the labeled data from 1,2, ... 6 into a factor and then change the "level" so it will be displayed as walking, running, ...
save "y" to disk
combined subjectId, allY, and allX into one big data.frame named M

change the col vector name for allY to "activity" and subject to "subjectId", (the default was "V1)
save
figure out how to create the tidy result. I.E. group data by subject and activity and calculate the mean of all the 'measure' columns using ddply()