This is a brief describing of how my run_analysis.R script work

###step 1 Load dplyr package into R for using the functions. ###step 2 Using read.table function to read data from 6 source files(X_test.txt,y_test.txt,subject_test.txt,X_train.txt,y_train.txt,subject_train.txt). ###step 3 Using bind_cols and bind_rows functions to merge the test and train set into one set. ###step 4 Using the variables in the features.txt file to label the data set with corresponding variable names. ###step 5 Using select and bind_cols functions to extracts only the mean and standard deviation for each measurement. ###step 6 Using the activity names in activity_labels.txt file to add descriptive activity names to name the activities in the data set. ###step 7 Using group_by and summarise_each functions to create tidy data set with the average of each variable for each activity and each subject. ###step 8 Using write.table function to write the tidy data set into a txt file named tidydataset.txt.