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.