4 Ways to Compare Between Groups in R

4 Ways to Compare Between Groups in R

To determine if there is a significant difference between the means or medians of two or more groups in R, you should compare groups.  By comparing groups, you can identify patterns or trends in the data and see how different factors affect the outcome of interest. Now, let’s see how to compare groups in R and … Read more

How to Generate Exponentially Distributed Random Numbers in R

How to Generate Exponentially Distributed Random Numbers in R

The exponential distribution is a continuous probability distribution that defines the time between events in a process that occurs continuously and independently at a constant average rate. Generate Exponentially Distributed Random Numbers in R To generate exponentially distributed random numbers in R, use the rexp() function. The rexp() is a built-in R function that returns the … Read more

How to Generate Binomial Random Numbers in R

How to Generate Binomial Random Numbers in R

Binomial distribution has two possible outcomes in statistics. Success Failure The probability of success (p) and failure (1 – p) are fixed and do not change from one trial to the next. The number of successes (x) in a given number of trials (n) follows a binomial distribution. A binomial random number is a random … Read more

How to Generate Normal Distribution Random Numbers in R

How to Generate Normal Distribution Random Numbers in R

The normal distribution is a continuous probability distribution defined by its mean and standard deviation. It is also known as the Gaussian distribution or bell curve because of its characteristic shape. Generate Normal Distribution Random Numbers in R To generate random numbers from a normal distribution in R, use the rnorm() function. The rnorm() function … Read more

How to Generate Uniformly Distributed Random Numbers in R

How to Generate Uniformly Distributed Random Numbers in R

The uniform distribution in R is a continuous probability distribution with a flat shape, while the normal distribution is a continuous probability distribution with a bell-shaped curve. Generating Uniformly Distributed Random Numbers in R To generate uniformly distributed random numbers in R, use the runif() function. The runif() is a built-in R function that generates random numbers … Read more

dnorm: What is dnorm() Function in R

dnorm() Function in R with Example

The pnorm() function offers the distribution function. The qnorm() function provides the quantile function. Finally, the rnorm() function generates random deviates. In statistics, the normal distribution is characterized by its mean μ and standard deviation σ. dnorm in R The dnorm() is a built-in R function that computes the Probability Density Function (PDF) of the … Read more