HAR-analysis

Clean-up and collate data contained in several tables recording detailed parameters on Human Activity Recognition using smartphones.

Source Files

• CodeBook.md: Describes the variables in the data and transformations done to tidy up the data.
• README.md: This file.
• run_analysis.R: An R script that runs on the data, analyzes it and tidies it up.

Dependencies

The run_analysis.R script depends mostly on the base package of R and some functions from the reshape2 package. reshape2 should be installed by default in your R installation, but if it isn't installed, please install it using install.packages("reshape2").

Running

1. Download and unzip the dataset (should be titled as getdata-projectfiles-UCI HAR Dataset.zip) in your working directory (in which run_analysis.R is present).
2. On unzipping, a directory called UCI HAR Dataset should be created in the working directory. It is necessary that the name of this directory be preserved as the script looks for a directory with this name for its data files.
3. In your R environment, type source("./run_analysis.R") to run the script.
4. After performing the analysis, if successful, the script should produce a tidied up and summarized table contained in a new file called tidydata.txt.
5. The table created in step 4 can be opened in a text editor for viewing.
6. The table created in step 4 can also be easily imported back into R using read.table("./tidydata.txt", header=TRUE).