Category: Examples

Let’s analyze a simple time series dataset using the forecast package. Step 1: Install and Load Forecast If you don’t have forecast installed, you can install it: Then, load the library: Step 2: Create a Time Series Dataset We’ll create a sample time series dataset: Step 3: Decompose the Time Series Step 4: Forecasting

We’ll demonstrate a basic machine learning workflow using the caret package for building a predictive model. Step 1: Install and Load Caret If you don’t have caret installed, you can do so with: Then, load the library: Step 2: Create a Sample Dataset We’ll use the same dataset but add a binary outcome variable to…

We can perform a t-test to compare the means of weight between two age groups. Step 1: Create Age Groups Step 2: Conduct a t-test

Let’s create more complex visualizations, such as a boxplot and a density plot. Boxplot Density Plot

In this example, we’ll use the dplyr package for data manipulation. We’ll filter, summarize, and arrange data. Step 1: Install and Load dplyr If you don’t have dplyr installed yet, you can install it with: Then, load the library: Step 2: Create a Sample Dataset We’ll continue using the previous dataset or create a new…

We can perform a linear regression analysis to understand the relationship between height and weight.

Using the ggplot2 package, we can create a scatter plot to visualize the relationship between height and weight.

Step 1: Create a Dataset