match Function in R with examples
match Function in R, The position of the first match between two objects is returned by the match() function in R. The following is the fundamental syntax for this function. match (object1, object2) The...
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match Function in R, The position of the first match between two objects is returned by the match() function in R. The following is the fundamental syntax for this function. match (object1, object2) The...
Index Names and lapply Function in R, This post, will show you how to use list indices in R’s FUN argument of the lapply function. The application of the lapply function will be demonstrated...
How to use the dollar sign in R, You’ll learn how to use the $ operator in the R programming language in this tutorial. Example 1: How to use the dollar sign in R...
Uniform Distribution in R, A uniform distribution is a probability distribution in which every value between a and b has the same chance of being chosen. The formula for calculating the likelihood of getting...
Naive approach forecasting example, A naïve forecast is one in which the forecast for a particular period is just the same as the preceding period’s value. For example, you sold 250 computers last month...
Systematic Sampling in R, Systematic sampling is a sort of probability sampling in which individuals of a bigger population are chosen at random from a larger population but at a fixed, periodic interval. The...
Eta Squared in R, Eta squared is a commonly-used effect size metric in ANOVA models. It is calculated as follows: It measures the proportion of variance associated with each main effect and interaction effect...
How to perform the Sobel test in R, This tutorial will show you how to perform a Sobel test in R. The Sobel test is used to see if a variable carries (or mediates)...
Chi-square goodness of fit formula, To see if a categorical variable follows a hypothesized distribution, a Chi-Square Goodness of Fit Test is utilized. This lesson will show you how to use R to run...
Trimmed Mean in R, A trimmed mean is a dataset’s mean that has been determined after deleting a certain percentage of the dataset’s smallest and greatest values. In other words, before determining the mean,...
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