Fernando Marmolejo Ramos wrote:
Dear R members
Could someone indicate me how to simulate Likert-type data using the GAMLSS
library and how to fit that data?
Let’s say, 50 random numbers in a variable that goes from -4 to +4 in steps of
1 (i.e., -4, -3, -2, -1, 0, 1, 2, 3, 4) with a mean of 2 and SD of 0.15 and
belonging to a normal distribution?
Hi Fernando,
You can get something like a truncated normal (in the sense of, "If I
squint my eyes right down, it looks kind of normal") sample with:
sample(-4:4,50,TRUE,prob=c(pnorm(-4:2,)pnorm(c(3,4),2,lower.tail=FALSE))
but it will not pass any of the usual tests for normal distribution.
Jim
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