Getting and Cleaning Data Coursera Course

run_analysis.R performs the tasks needed by our lectures:

• 0. Loads library and information in data.frames from train/test/activity/features .txt files

• 1. Merges train and test data via rbind.

• 2. Extracts only the measurements on the mean and standard deviation for each measurement by creating a subsetting logical vector with features positions in features.txt

• 3. Labels activity in the activity type (y’datas) data

• 4. Merges processed subject, activity and X-data in one dataframe. Renames the columns in this dataframe.

• 5. Generates a new dataset with average measures for each subject and activity type. Melt and dcast from “reshape2” library is used.

Output is saved as mean_data.txt.