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Interview Questions

What is the difference between the with() and within() functions?

The with() function evaluates an R expression on one or more variables of a data frame and outputs the result without modifying the data frame. The within() function evaluates an R expression on one or more variables of a data frame, modifies the data frame, and outputs the result. Below we can see how these functions work using a sample data […]

List and define the various approaches to estimating model accuracy in R.

Below are several approaches and how to implement them in the caret package of R. To implement these cross-validation methods in R, we need to set the method parameter of the trainControl() function to “cv”, “repeatedcv”, or “LOOCV” respectively, when defining the training control of the model.

What are correlation and covariance, and how do you calculate them in R?

Correlation is a measure of the strength and direction of the linear relationships between two variables. It takes values from -1 (a perfect negative correlation) to 1 (a perfect positive correlation). Covariance is a measure of the degree of how two variables change relative to each other and the direction of the linear relationships between […]

How to select features for machine learning in R?

Let’s consider three different approaches and how to implement them in the caret package. We need to create a correlation matrix of all the features and then identify the highly correlated ones, usually those with a correlation coefficient greater than 0.75: We need to create a training scheme to control the parameters for train, use […]

What is the use of the switch() function in R?

The switch() function in R is a multiway branch control statement that evaluates an expression against items of a list. It has the following syntax: The expression passed to the switch() function can evaluate to either a number or a character string, and depending on this, the function behavior is different. 1. If the expression evaluates to a number, […]

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