posting the question in r-help@ to get more feedback :-)
thanks,
Yun-Fang
- Original Message -
From: "Yun-Fang Juan" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Tuesday, December 16, 2003 2:04 PM
Subject: [S] plot stacked bar chart in R
> Hi,
> I am
Hi,
I try to run the linear discriminant analysis using the following command
but got an error like the following.
lda1 <- lda(retention ~ . , data=RetentionDF40[1:1,]);
Can someone tell me what I should do to fix the error?
thanks,
Yun-Fang
__
[
groups
- Original Message -
From: "Marc R. Feldesman" <[EMAIL PROTECTED]>
To: "Yun-Fang Juan" <[EMAIL PROTECTED]>; <[EMAIL PROTECTED]>
Sent: Friday, December 19, 2003 6:38 PM
Subject: Re: [R] Error running LDA
> At 06:13 PM 12/19/2003, Yun-Fang
Hi,
After fitting with lm, I want to get the 95 % confidence intervals of the
expected predicted value.
I know in S-plus I can use pointwise() to get the confidence intervals .
But in R, I couldn't find such a function.
Is there any R package available for such functionalities.
Please advise.
t
Hi,
I am working on a model sort of like a credit assignment problem.
The goal is to get non-negative weights for each input variable and
discount the predictors (down to 0) that lead to no credits.
I am trying out the lm fitting and find out they give a lot of negative weights.
I am totally s
Hi,
I try to use lm to fit a linear model with 600k rows and 70 attributes.
But I can't even load the data into the R environment.
The error message says the vector memory is used up.
Is there anyone having experience with large datasets in R? (I bet)
Please advise.
thanks,
Yun-Fang
hw.byteorder: 1234
hw.physmem: 2144411648
hw.usermem: 2009980928
thanks for your advice in advance,
Yun-Fang
- Original Message -
From: "Yun-Fang Juan" <[EMAIL PROTECTED]>
To: <[EMAIL PROTECTED]>
Sent: Thursday, January 29, 2004 7:03 PM
Subject: [R] memory problem fo
data and after some transformation, they are
all numeric.
Can we specify some parameters in read.table so that the program will treat
all the vars as numeric
(with this context, hopefully that will reduce the memory consumption) ?
thanks a lot,
Yun-Fang
>
> >
> > Yun-Fang
> >
, add colClasses="numeric" in read.table()
Results: read.table read in the data successfully but I failed to access
the dataset after the loading
(even dataset[1:10,] didn't work)
- Original Message -
From: "Liaw, Andy" <[EMAIL PROTECTED]>
To: "'Y
Hi,
I have a two-way anova with unequal cell numbers that I want to analyze.
The problem is I don't have individual observations of the data.
I only have the sufficient statistics (mean, variance, # of observations) for each
cell.
Is there any existing function in S-plus that would allow me to
Hi,
I am trying to do a nls fitting using the SSfpl self-restart function but I got an
error like the following:
> nls.2 <- nls(map.rr ~ SSfpl(mail.pv, phi1, phi2, phi3, phi4), data=pv.rr.200)
Error in nls(y ~ cbind(1, 1/(1 + exp((xmid - x)/exp(lscal, data = xy, :
step factor 0.0004
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