###Getting And Cleaning Coursera Class Project
The purpose of this project is to perform the following steps on data collected from the accelerometers from the Samsung Galaxy S smartphone.
Create one 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 variable names.
- 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.
#####For convienence all data files are checked in. If needed that can be obtained from the course web site at https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip The files used from the dataset are:
- activity_labels.txt
- features.txt
- subject_test.txt
- subject_train.txt
- X_test.txt
- X_train.txt
- Y_text.txt
- Y_train.txt
#####The output is a data.table in wide format of the tidy data and is contains in the file tidy.txt. This can be easily read into R using
'tidyData <- read.table("./tidy.txt")'
The format of tidy.txt is shown in CodeBook.md