On 06/26/2011 07:26 PM, wjcao wrote:
Dear R members
Could someone tell me how to simulate Likert-type data using the rnorm
function.
Let's say, 200*15 random numbers in a variable that goes from 1 to 4 in
steps of
1 (i.e., 1, 2, 3, 4) belonging to a normal distribution?
random.data<— matrix(rnorm(200 * 15), nrow = 200, ncol = 15)
random.data
The result cannot be reached.
Hi cao,
Values on a Likert scale, like most other categorical data, do not
usually have a normal distribution, especially with a small number of
agreement levels. However, if you want to distribute the numbers 1 to 4
in the most "normal" way possible, here is a fairly easy way.
Use the "sample" function and specify the probabilities for the four
digits so that they would be close to the way normal variates would be
binned into four categories:
table(cut(rnorm(100),breaks=c(-10,-1,0,1,10)))
Don't just copy this, but think about how you want to slice up a
"normal" distribution to get the best fit. Then when you have discovered
the correct proportions of responses, you can use those proportions as
the "prob" argument of the sample function.
Let's say that this looks enough like homework that I won't just give a
solution.
Jim
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