| title | output |
|---|---|
README |
html_document |
This repository contains the assignment for 'Getting and Cleaning Data'.
It consists of an R script for performing work on the UCI HAR Dataset (http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones).
The script, "run_analysis.R"", downloads the data to a local directory, and processes it as follows:
- 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.
To run the code, use 'source' as follows:
source("run_analysis.R")
The tidied data set, in text and CSV formats, is written to a files called
tidy_df.txt
tidy_df.csv
There is also a Codebook in this repository which describes the variables in the data set and the transform carried out.