Sounds like homework (you are not supposed to post homework-related
questions here - read the guidelines). But anyway:
nr.of.rejections=0
for(i in 1:1){
x=rnorm(10, 0.1, 1)
result-t.test(x,alternative=greater,mu=0,conf.level=0.95)$p.value
if(result0.05) nr.of.rejections =
Hehe,
those homeworks. If you can explain this code to the professor, you surely
passed.
n -1
obs.rej.rate - sum(sapply(1:n,function(x){t.test(rnorm(10, 0.1,
1),alternative=greater,mu=0,conf.level=0.95)$p.value 0.05}))/n
obs.rej.rate
This could actually be another round of R-golf. Anybody
PS : level, you might want to consider stopping to spam the help-list.
You're not making yourself popular by asking -in one day- 3 questions that
can be solved by using Google and reading the introductions given on the R
homepage.
On Thu, May 6, 2010 at 5:57 PM, Joris Meys jorism...@gmail.com
-project.org; level
Subject: Re: [R] T-test for loop
Hehe,
those homeworks. If you can explain this code to the professor, you
surely
passed.
n -1
obs.rej.rate - sum(sapply(1:n,function(x){t.test(rnorm(10, 0.1,
1),alternative=greater,mu=0,conf.level=0.95)$p.value 0.05}))/n
[mailto:r-help-boun...@r-
project.org] On Behalf Of Joris Meys
Sent: Thursday, May 06, 2010 9:57 AM
To: Dimitri Liakhovitski
Cc: r-help@r-project.org; level
Subject: Re: [R] T-test for loop
Hehe,
those homeworks. If you can explain this code to the professor, you
surely
passed.
n
...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Joris Meys
Sent: Thursday, May 06, 2010 9:57 AM
To: Dimitri Liakhovitski
Cc: r-help@r-project.org; level
Subject: Re: [R] T-test for loop
Hehe,
those homeworks
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Joris Meys
Sent: Thursday, May 06, 2010 9:57 AM
To: Dimitri Liakhovitski
Cc: r-help@r-project.org; level
Subject: Re: [R] T
I have been set a question which i understand statistically but my inability
with R is preventing me from finishing it..
My question is that we to calculate the frequency of Type 1 errors
starting with x = rnorm(10, 0.1, 1)
then doing a t-test seeing whether you reject the null hypothesis
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