On 11-01-27 13:16, Ben Boyadjian wrote:
Hello I am trying to solve these problems and I am not allowed to use loops or
ifs.
1st Question
My first question is that I have generated 100 random numbers from the uniform
distribution then
A)add only the negative integers.
x <- c(1, 1.3)
x==round(x, 0)
B)add elements until the first appearance of a negative element.
y <- c(1, 3, 7, -2, 3, -7)
sum(y[1:which(y<0)[1]-1])
I know how to choose the negative elements for A but how to find integers?
And I dont know what to do for B.
2nd Question Simulate 1000 observations from the student-t
distribution with 3 degrees of freedom and then calculate the
truncated mean by excluding bottom 5% and top 5%.
Dono. Ideas?
Thank yoou
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
