2016 10:03 AM
To: tan sj; r-help@r-project.org
Subject: Re: [R] R [coding : do not run for every row ]
Always keep the mailing list in cc.
The code runs for each row in the data. However I get the feeling that
there is a mismatch between what you think that is in the data and the
actual data.
i
em like the problem of looping through data is still the
> samei am really wondering where is the mistake
>
>
> From: Thierry Onkelinx
> Sent: Monday, April 18, 2016 7:21 AM
> To: tan sj
> Cc: r-help
> Subject: Re: [R] R [coding :
Hi, i am sorry, the output should be values between 0 and 0.1 and not supposed
to be 1.00, it is because they are type 1 error rate. And now i get output 1.00
for several samples,rhis is no correct. The loop do not run for every row. i do
not know where is my mistake. As i use the same concept
You can make this much more readable with apply functions.
result <- apply(
all_combine1,
1,
function(x){
p.value <- sapply(
seq_len(nSims),
function(sim){
gamma1 <- rgamma(x["m"], x["sp(skewness1.5)"], x["scp1"])
gamma2 <- rgamma(x["n"], x["scp1"], 1)
Dear anonymous,
The big mistake in the output might be obvious to you but not to
others. Please make clear what the correct output should be or at
least what is wrong with the current output.
And please DO read the posting guide which asks you not to post in HTML.
ir. Thierry Onkelinx
Instituut v
i have combined all the variables in a matrix, and i wish to conduct a
simulation row by row.
But i found out the code only works for the every first row after a cycle of
nine samples.
But after check out the code, i don know where is my mistake...
can anyone pls help
#For gamma disribu
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