Introduction to Smoothy
Overview | Installation | Load packages: | Functions | The smooth algorithm | Input dataset | Example dataset | The workflow | Step 1. Transform the Original Data (parse) | Step 2. Apply the Algorithm | Step 3. Untransform the Smoothed Data (deparse) | Step 4. Validation | 4.1. Count Differences Before and After the Smooth Algorithm | 4.2 Visualization | Choosing the windows size | Utilizing the Algorithm in a Large Dataset | 1) Split Data in Chunks | 2) Sockets, Cores and Progress bar | 3) Parallel Execution using foreach() and %dopar% | 3.1) Patient-Level Differences | 4) Read and Combine All Chunks