You should 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. From the data in step 4, creates a second, independent tidy data set with the average of each variable for each activity and each subject.

1. Download the data source and put into a folder on your local drive. You'll have a UCI HAR Dataset folder.
2. Rename the data folder to UCIdata
3. Put run_analysis.R in the parent folder of UCIdata, then set it as your working directory using setwd() function in RStudio.
4. Run source("run_analysis.R"), then it will generate a new file tiny_data.txt in your working directory.

run_analysis.R file will help you to install the dependencies automatically. It depends on the reshape2 and data.table install packages.