Plot Categorical Data in R, Categorical variables are data types that can be separated into categories. Race, sex, age group, and educational level are examples of categorical variables. This tutorial describes three approaches to...
To make overlay Plots in R, we can make use of lines() and points() functions. Let’s create a scatter plot first and overly another line plot. Approach:- #Step1:-create scatterplot plot(x1, y1) #Step 2:-overlay line...
3D Plot in R, one of the quickest ways to create a 3D plot is to use the persp() function. 3D plot the data points on three axes to highlight the link between three...
In multivariate space, the Mahalanobis distance is the distance between two points. It’s frequently used to locate outliers in statistical investigations involving several variables. This tutorial describes how to execute the Mahalanobis distance in...
How to Calculate Cross-Correlation in R, The degree of resemblance between a time series and a lagged version of another time series is measured using cross-correlation. In another way, it can tell us whether...
How to Calculate Cosine Similarity in R, The measure of similarity between two vectors in an inner product space is cosine similarity. The formula for two vectors, like A and B and the Cosine...
Pareto Chart in R, Pareto chart is a combination of a line graph and a bar chart used for visualization. A Pareto graph is a type of chart that displays the frequencies of the different categories with the cumulated frequencies of the categories. How to create...
How to Calculate MAPE in R, when want to measure the forecasting accuracy of a model the solution is MAPE. MAPE stands for mean absolute percentage error. The mathematical formula to calculate MAPE is:...
How to Calculate SMAPE in R?, SMAPE indicates the symmetric mean absolute percentage error.SMAPE is mainly used to measure the predictive accuracy of models. Mathematical formula is SMAPE = (1/n) * Σ(|forecast – actual|...
Mean Absolute Error in R, when we do modeling always need to measure the accuracy of the model fit. The mean absolute error (MAE) allows us to measure the accuracy of a given model....
