User: arronar
arronar • 80
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Posts by arronar
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... Thank you very very much!
Have a nice rest of the day! ...
written 7 days ago by
arronar • 80
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... The procedure of the significant genes is right isn't it ?
I'm happy too :-). At eleven tomorrow morning you are going to receive a package with beers from DHL at your office :-) ...
written 7 days ago by
arronar • 80
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... Hey!
You were right. After delete the samples with the small replication number, algorithm run as expected. Also I tried to create and a matrix with the most significant variables from the sparse matrix that returned from the `coef()` function. Take a look and tell your opinion.
# Elastic net ...
written 7 days ago by
arronar • 80
0
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... > The error one multinomial or binomial class has 1 or 0 observations;
> not allowed seems to be related to your factor level 13, of which
> there is only 1 sample
Hmm something is not well understood either by you or by me. I don't think that I have a factor level 13 with only one sample ...
written 10 days ago by
arronar • 80
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... So.Once I've found you, let me ask one last thing about weights. Is it reasonable to set weights to your samples if you don't know their difference beforehand ? So in my case, I can not tell if sample A is a bit more important than the sample H and thus I cannot set specific weight values for them. ...
written 10 days ago by
arronar • 80
1
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... Thank you once more. You are very instructive. ...
written 11 days ago by
arronar • 80
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... Thank you very much for the explanation. Very informative and clear. I'm going to try it out.
Although I don't understand the following you said :
> If you set nfolds to your total number of samples, then you're
> essentially doing what's called 'leave-one-out' cross validation
If you create ...
written 11 days ago by
arronar • 80
11
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1
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Multinomial elastic net implementation on microarray dataset , error at lognet and nfold explanation
... It's my first time trying to implement elastic net algorithm on microarray data and I'm facing some issues.
My dataset `DATA` is a data frame that is consisted by 72 observations (rows) and 18703 predictors (columns). Observations are stored as the 18704th column in the data frame and are in replica ...
written 12 days ago by
arronar • 80
• updated
12 days ago by
Kevin Blighe • 1.2k
2
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1
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... Hello I have this data.frame and as you can see there are lists inside some cells.
myList1 <- list()
myList1[[1]] <- 0
myList1[[2]] <- list(3)
myList1[[3]] <- list(6)
myList1[[4]] <- list(7, 9)
myList <- list()
myList[[1]] <- list(1, 4, 6, 7)
...
written 18 days ago by
arronar • 80
• updated
18 days ago by
Chris Miller ♦ 18k
0
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... Oh I see. Thank you. ...
written 18 days ago by
arronar • 80
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