Hello R-helpers,
I want to ask your opinion since I am not so sure how to do it. This is
regarding one part of my paper project and my situation is:
Stage I
I have 2 groups and for each group I need to compute the following steps;
i) Generate 3 random numbers from normal distribution and squar
Hello R-helpers,
I need to generate standard variates normal to 'create' chi-squared variates.
To make you more understand,
(1) a<-rnorm(3,0,1)
*after do (1), I need to squared and summed the three values. My problem is,
how am I going to continue the programming if I had to repeat the proce
Hello R-helpers..
I want to ask about how I can sample data sets without having the infinite
numbers coming out. For example,
set.seed(1234)
a<-rnorm(15,0,1)
b<-rnorm(15,0,1)
c<-rnorm(15,0,1)
d<-rnorm(15,0,36)
After come out with the sample, I need to do a transformation (by Hoaglin,
1985) f
Hello r helpers! Below is the whole coding for my programme. Before proceed
more further, let me explain for you. First of all, I need to compute trimmed
mean. Till that step is ok. Then I need to compute ssdw which is sum of square
deviation. If I do equal trimming at both tail of distribution
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