Algorithm Classifications in Machine Learning, There is a vast array of algorithms available in the field of machine learning that can be utilized to comprehend data. One of two categories can be used to...
How do confidence intervals work?, In statistics, we’re frequently interested in calculating population parameters—numbers that capture some aspect of a population as a whole. The following are the two most typical population parameters: Population...
How to Find Quartiles in R, A dataset is divided into four equal halves using values known as quartiles. The first quartile of a dataset corresponds to the 25th percentile. The second quartile of...
How to Use Italic Font in R, to create an italic typeface in R plots, use the basic syntax shown below. How to Use Italic Font in R These examples demonstrate how to apply...
How to Use Bold Font in R, to create a bold typeface in R plots, use the basic syntax shown below: substitute(paste(bold(‘datasciencetut.com’))) These examples demonstrate how to apply this syntax in real-world situations. Example...
Changing the Font Size in Base R Plots, To alter the font size of different elements in base R charts, use the syntax shown below: plot(df$x, df$y, main=’Title’, sub=’Subtitle’, cex.main=2, #change font size...
Gamma distribution in R, This guide demonstrates how to use R to fit a gamma distribution to a dataset. Gamma Distribution Fitting in R Let’s say you have a dataset z that was produced...
Triangular Distribution in R, A continuous probability distribution with a triangle-shaped probability density function is known as the triangular distribution. The following three values describe it: The bare minimum of a The highest value...
Forest Plot in R, A forest plot, also known as a “blobbogram,” is used in meta-analyses to combine the findings of multiple research into a single figure. In the previous article we discussed about...
The Multinomial Distribution in R, when each result has a fixed probability of occuring, the multinomial distribution represents the likelihood of getting a certain number of counts for each of the k possible outcomes....
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