##Readme file for Getting and Cleaning Data Course Project

Readme descibe how you can run function "run_analysis" from script "run_analysis.R". Function run_analysis from 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 activity names.
• Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

###Recommendation This is only recommendation for running function faster (without downloading zip data file and package data.table)

• Set working directory to place where you download and unzip data for the project (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip).
• In the working directory you can find those files and folders: features.txt, activity_labels.txt, test and train.
• Install package data.table.

###Example how to use script ####Simple example

1. Download "run_analysis.R" to working directory of R console.
2. Load script to your console source("run_analysis.R").
3. Run function run_analysis data<-run_analysis()

What happens:

• run_analysis() put tidy data set with the average of each variable for each activity and each subject to variable data.

####Complete example

1. Download "run_analysis.R"
2. Load script to your console source("run_analysis.R").
3. Run function run_analysis data<-run_analysis(sour_dir="./loaddata/",dest_dir="./savedata/",save_to_file=T)

What happens:

• load data from directory "./loaddata/"
• function run_analysis put tidy data set with the average of each variable for each activity and each subject to variable data.
• save comlete merge data to file "./savedata/comletedata.txt"
• save data set with the average of each variable for each activity and each subject to file "./savedata/finaldata.txt"

###Others information

• The script was tested on Mac with OS X 10.9.2.
• Windows could have problem with diffrent path system (Windows "C:\data\R" Mac "./data/R/"). Script download data file in this case to temporary variable.
• When data.table package isn`t instaled than script would install data.table package.
• When script didn`t find data for load than script would download zip file to temporary value.