Tagged: R

10 Best R Programming Books

10 Best R Programming Books, The R language has a large library of statistical and graphical techniques. It consists of time series, linear regression, machine learning methods, etc. Do you want to study the...

Simple Linear Regression in R

Simple Linear Regression in R, A straightforward query is resolved by linear regression: Is it possible to assess the exact connection between one target variable and a group of predictors? The straight-line model is...

IF ELSE- ELSE IF Statement in R

IF ELSE- ELSE IF Statement in R, A developer’s best tool when trying to return output based on a condition is an if-else statement. The syntax in R is: if (condition) {     Expr1...

How to Find Quartiles in R?

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...

Forest Plot in R-Quick Guide

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...

Tackle Business problems with Data Science!

Tackle Business problems with Data Science!, Each aspirant data scientist must believe that their work begins when someone else provides them with a dataset and a clearly defined metric to aim for, such as...

The Multinomial Distribution in R

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....

Not Satisfied with statistical significance (p-value)

Not Satisfied with statistical significance (p-value), statistically significant is how humans prefer to categorize something. The same argument debated for almost ten years. People have asserted that statistical significance offers the benefit of simplicity...

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