GettingAndCleaningDataProject2

Course project 2 for Getting and Cleaning Data course

run_analysis.R

Assumptions

1. All files required for the assignment are present in folder named UCI HAR Dataset.
2. Folder UCI HAR Dataset is present in the working directory

The script performs following steps

1. Reads activity labels and features from activity_labels.txt and features.txt respectively in data frame activity_labels and features respectively
2. Generates a data frame test_df from test set. test_df contains 561 columns ( 1 for each observation ) , subject , activity . All observations are given labels using features data frame created in step 1.
3. Generates a data frame train_df from train set.
4. Generates master data frame master_df that has data from both train_df and test_df
5. Create data frame master_df_mean_std that extracts only the measurements on the mean and standard deviation for each measurement
6. Converts subject and activity into factors. Labels activity with description using activity_labels
7. Creates a second, independent tidy data set with the average of each variable for each activity and each subject named groupByactivityAndSubject
8. Cleans the names of data set, by converting all to lowercase and removing dots
9. Writes the data set created in step 7 to a file named groupByactivityAndSubject.txt