Author: tayyaba

Simulation studies are crucial for understanding the behavior of statistical methods. Here’s an example of simulating the Central Limit Theorem. Step 1: Set Parameters Step 2: Simulate Sample Means Step 3: Plot the Distribution of Sample Means

Functional programming is a programming paradigm that treats computation as the evaluation of mathematical functions. In R, you can use functions like lapply, sapply, and map from the purrr package. Step 1: Install and Load purrr Step 2: Create a Sample List Step 3: Use lapply and sapply Step 4: Use map from purrr

R can connect to databases to perform data analysis on large datasets. Here’s how to connect to a MySQL database. Step 1: Install and Load Required Packages Step 2: Connect to the Database Step 3: Query Data Step 4: Disconnect from the Database

Geospatial data analysis is crucial for visualizing and analyzing spatial relationships. We’ll use the sf package for handling spatial data. Step 1: Install and Load sf Step 2: Load Geographic Data For this example, you can use built-in datasets or download shapefiles. Here, we’ll use a simple example with the nc dataset from the sf…