| title | author | date | output |
|---|---|---|---|
README |
Thiago Akio Nakamura |
March 19, 2015 |
html_document |
The purpose of this project is to demonstrate our ability to collect, work with, and clean a data set. The goal is to prepare tidy data that can be used for later analysis. The data collected is from the accelerometers from the Samsung Galaxy S smartphone. The orifinal description taken from its website (click here for details):
The R script called run_analysis.R 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 activity names.
- Creates a second, independent tidy data set with the average of each variable for each activity and each subject.
The run_analysis.R script can be run directly. Before actually processing the data, the script performs the following tasks:
- Checks and install required packages, then loads them.
- Download and unzips the data, if the default data directory is not found.
- Reads the necessary files from the original dataset to start processing the data set.
- After processing the data, the output tidy data will be written on
tidy_data.txtin the current directory.
For more details, read the CodeBook.md.
run_analysis.R file will help you to install the dependencies automatically. It depends on reshape2 and plyr.