Cluster Sampling in R, as discussed in one of our old posts, researchers frequently gather samples from a population and use the findings to derive conclusions about the entire population. Cluster sampling, in which...
Error: Can’t rename columns that don’t exist., In this article, you’ll discover how to replicate and diagnose the R programming error “Error: Can’t rename columns that don’t exist.” Principal Component Analysis in R »...
Researchers frequently take samples from a population and use the data from the sample to make generalizations about the entire population. A typical sampling approach is stratified random sampling, which divides a population into...
View data frame in r, within RStudio, the View() function in R can be used to call a spreadsheet-style data viewer. The syntax for this function is as follows: Principal Component Analysis in R...
Bias-variance tradeoff machine learning, To assess a model’s performance on a dataset, we must assess how well the model’s predictions match the observed data. The mean squared error (MSE) is the most often used...
Power Regression in R, Power regression is a non-linear regression technique that looks like this: y = ax^b where: y: The response variable x: The predictor variable a, b: The coefficients of regression used...
Bagging in Machine Learning, when the link between a group of predictor variables and a response variable is linear, we can model the relationship using methods like multiple linear regression. When the link is...
Decision tree regression and Classification, Multiple linear regression can yield reliable predictive models when the connection between a group of predictor variables and a response variable is linear. Random forest machine learning Introduction »...
Export Data Frames into Multiple Excel Sheets in R, To export numerous data frames from R to multiple Excel worksheets, use the following basic syntax. How to calculate Scheffe’s Test in R » finnstats...
Conditional Mean in R, to calculate a conditional mean in R, use the following syntax. mean(data[data$Name == ‘India’, ‘points’]) For every row in the data frame where the ‘Name’ column equals ‘India,’ this calculates...