#ReadMe ##Task create one R script called run_analysis.R that does the following.

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. Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

##Description These repository contains solution for the cource project from Getting and Cleaning Data course.

Required dataset for these course is here: (https://d396qusza40orc.cloudfront.net/getdata%2Fprojectfiles%2FUCI%20HAR%20Dataset.zip)

Archive should be extracted in the same folder where run_analysis.R script is situated. Working directory has to be set to the run_analysis.R location.

When script is sources (source("<filename>")) it will automatically read data from the directory, process it and store second data set in file data2.txt

##Functions Script run_analysis.R contains following functions.

• getDataDirectory - returns name of the directory where data is stored

• readActivityLabels - reads activity labels from "activity_labels.txt" stored in data directory. Returns data.frame with activities

• readFetauresLabels - reads data measurements names from features.txt. Normalizes names to convenient form.

  • replaces "(", ")" and "-" symbols with underscore ("_") symbol
  • replaces multiple underscores in row with only one
  • removes underscore symbol at the end of line
  • replaces "fbodyBody" with "fBody"
  • inserts underscore between letter and capital letters
  • makes letter all capital letters after underscore

• readDataSet - reads measurements dataset.

  • dataSetType can be "train" or "test"
  • activitiesLabels - activities returned by readActivityLabels
  • featuresLabels - measurements names returned by readFetauresLabels

  Returns properly labelled measurements data with subject ID, and activity type set

• getMergedDataSets - returns train and test datasets merged together

  • activitiesLabels - activities returned by readActivityLabels
  • featuresLabels - measurements names returned by readFetauresLabels

• getFirstDataSet - returns first dataset required by task.

  • mergedDataSet - dataset returned by getMergedDataSets

  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.

• getSecondDataSet - returns second dataset required by task:

  • mergedDataSet - dataset returned by getMergedDataSets
  • featuresLabels - measurements names returned by readFetauresLabels

  Creates a second, independent tidy data set with the average of each variable for each activity and each subject.

##Files Course project contains three files:

• ReadMe.md - these file
• CodeBook.md - code book for second tidy data set
• run_analysis.R - script for generating data