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I was hoping someone could help point me in the right direction to create a vector in R, containing a defined amount of randomly generated numbers. I am a complete newbie to R, and I have learned that the concatenate function is used for creating vectors. However, I wish to populate the vector with 50 random numbers. I do not wish to specify a range or any other conditions for the numbers.
MyVectorObject <- c(...)
Any suggestions would be greatly appreciated!
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Random numbers from a normal distribution can be generated using runif() function. We need to specify how many numbers we want to generate. Additionally we can specify the range of the uniform distribution using max and min argument. If not provided, the default range is between 0 and 1 .
To generate random numbers from a uniform distribution you can use the runif() function. Alternatively, you can use sample() to take a random sample using with or without replacements.
The runif() function generates random deviates of the uniform distribution and is written as runif(n, min = 0, max = 1) .
It depends on which numbers you want to generate. These are some options.
x1 <- rpois(n = 50, lambda = 10)
x2 <- runif(n = 50, min = 1, max = 10)
x3 <- sample(x = c(1, 3, 5), size = 50, replace = TRUE)
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