This reposotory contains the final project for Getting and Cleaning Data, a Coursera course.
1. The README.md file you are looking at now.
2. The CodeBook.md file which contains a detailed description of the project objectives
3. The run_analysis.R file which is an R function that performs the project objectives.
The project dataset contain data collected from the accelerometers from the Samsung Galaxy S smartphone. After obtaining the project data set from:
https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip
write an R script called run_analysis.R which perform the following objectives:
1. Merges the training and the test sets to create one data set.
2. Extracts only the measurements on the mean and standard deviation for each measurement.
3. Uses descriptive activity names to name the activities in the data set
4. Appropriately labels the data set with descriptive variable names.
5. 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.
First, read the CodeBook.md file for a description of the projects objective, the variables used, and any required transformations that were performed on the test data. Second, read the documentation that is included in the run_analysis.R file. This will describe what options are available when performing the analysis.
To perform the cleaning and analysis with program defaults execute the run_analysis.R script from within the R environment (I use RStudio). The test data set does not need to be present when the script is run as it will be downloaded and extracted automatically if not already there.