Hi all,
I am trying to download the Rcolorbrewer package from Cran
http://cran.r-project.org/web/packages/RColorBrewer//index.html
It seems the files have been removed. Does anyone know where can
I download the package?
Thanks.
Hannah
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_
e.y=theme_blank())
grid.arrange(xhist, empty, none, yhist, ncol=2, nrow=2, widths=c(3, 1),
heights=c(1, 3))
2012/8/7 li li
> Please ignore my previous message. The limits are correct.
> Thanks again.
> Hannah
>
> 2012/8/7 li li
>
>> Hi John,
>>
Dear all,
Given a set of observations X, I want to evaluate the kernel density
estimator
at these observed values. If I do the following, I do not get the those
estimated values directly.
Can anyone familiar with this give an idea on how to find out the estimated
density values for X?
> X <- rn
amp;M University
> College Station, TX 77843-4352
>
>
> > -Original Message-
> > From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> > project.org] On Behalf Of li li
> > Sent: Wednesday, August 08, 2012 9:03 PM
> > To: r-help
> > Subject: [R]
Dear all,
I want to import just part of an excel data file into R.
I would like to have the data imported without
rownames or colume names.
I used read.delim("clipboard", header=F). Somehow even though
I added the argument "header=F", I still have the row names V1, V2, ...,
Does anyone kno
Dear all,
I have a question on the four parameter logistic regression.
Not sure about how to set the start values for the parameters.
Can anyone familiar with this give some hint? Thanks so much.
Hannah
For example, suppose I have the following data values,
> temp
mean_st
Dear all,
I have a question on applying a function to the data according to factor
levels.
For example, for the data below, what is the best way to apply a function
to
"values" according to different levels of "samples" (1,2,3,4,5)?
values ind sample
1 0.03325 1 1
2 0.03305 1
t; #1 1 0.033556
> #2 2 0.011120
> #3 3 0.017750
> #4 4 0.030220
> #5 5 0.062060
> A.K.
>
> - Original Message -
> From: li li
> To: r-help
> Cc:
> Sent: Thursday, August 16, 2012 9:31 PM
> Subject: [R] Apply a function acco
Dear all,
I am trying to use R to fit mixed models.
Take the following example, where ind is a random effect and
sample is fixed. I wanted to fit
Model 1: values = ind + sample
Model 2: values =ind * sample
Model 3: values=ind(sample) + sample
Tried to use the below for mod1, but it
Thanks, Bert.
2012/8/17 Bert Gunter
> 1. Post on R-sig-mixed-models, not here.
>
> 2. Models 2 and 3 make no sense (to me, anyway). What do you think
> they mean? (Don't answer here -- explain on the mixed models list).
>
> -- Bert
>
> On Thu, Aug 16, 2012 at 9:13 P
Dear all,
I am really confused with the syntax for mixed model using lmer in lme4
library.
My model is Value = Sample + Run (nested with Sample )
Here sample is a fixed effect and Run is a random effect nested with
sample.
Can anyone give some hint on the correct syntex for this model.
Dear all,
This may not be the right place for latex questions, but I
do not know where else to ask the question.
I have two subfigures. I want the first subfigure to have a caption on
the side of it and the second subfigure
to have a caption below it.
Thank you.
Hannah
[[
Dear all,
I need to use the "qmvnorm" function in mtvnorm package.
Here is the error message I got
> qmvnorm(0.05, tail="upper", sigma=var)$quantile
Error in uniroot(pfct, interval = interval) :
f() values at end points not of opposite sign
There is no problem for 50th quantile.
> qmvnorm(0.
gma=var)$quantile
[1] 0.8935925
>
ÔÚ 2012Äê3ÔÂ14ÈÕ ÏÂÎç6:37£¬Rui Barradas дµÀ£º
> Hello,
>
> li li-13 wrote
> >
> > Dear all,
> >I need to use the "qmvnorm" function in mtvnorm package.
> >
> > Here is the error message I got
> >> qmvnor
Dear all,
I need to generate numbers from multivariate normal with large dimensions
(5,000,000).
Below is my code and the error I got from R. Sigma in the code is the
covariance
matrix. Can anyone give some idea on how to take care of this error. Thank
you.
Hannah
> m <- 500
.
Hannah
ÔÚ 2012Äê2ÔÂ19ÈÕ ÉÏÎç5:01£¬Petr Savicky дµÀ£º
> On Sat, Feb 18, 2012 at 06:00:53PM -0500, li li wrote:
> > Dear all,
> > I need to generate numbers from multivariate normal with large
> dimensions
> > (5,000,000).
> > Below is my code and the error I got fr
error code=12)
*** error: can't allocate region
*** set a breakpoint in malloc_error_break to debug
R(173,0xa0a7b540) malloc: *** mmap(size=43072) failed (error code=12)
*** error: can't allocate region
*** set a breakpoint in malloc_error_break to debug
ÔÚ 2012Äê2ÔÂ19ÈÕ ÉÏÎç10:5
Dear all,
I need to do some calculation where the code used are below. I get
error message when I choose k to be large, say greater than 25.
The error message is
"Error in integrate(temp, lower = 0, upper = 1, k, x, rho, m) :
the integral is probably divergent".
Can anyone give some help on res
Hi all,
I have a 100 by 100 matrix and I divided this matrix into 100 groups,
each is a
10 by 10 submatrix. I want find out the means of each group.
I know we can use apply function for mean by margins. Is there a
function in R for
means by groups also? Thanks.
Hannah
[[alter
Dear all,
For the following code, I have the error message
"Error in uniroot(f1star, lower = -10, upper = 0, tol = 1e-10, lambda =
lam[i], :
f() values at end points not of opposite sign".
It seems the problem occurs when lambda is equal to 0.99.
However, there should be a solution for "f1
Dear all,
I have a data set which is 100 \times 100 matrix.
I made a heatmap of the data. The xlim and ylim
are both shown to be c(0,1). I want to make both the
xlim and ylim to be c(0,100). So the heatmap correspond to
the 100 \times 100 locations.
Thank you.
Hannah
[[alternative
Dear all,
I have a function f <- function(x,y,c){as.numeric(x*y < c) }
I need to solve the value of c so that when I take the integral of
the function f from 0.2 to 0.8 with respect to x and from 0 to 1
with respect to y, the integral equal some prefixed value, say 0.025.
It involves two dim
Hi,
I am using some classifiers in RWeka packages and met a couple problems.
(1) J48 implements C45 classifier, the C45 should be able to handle missing
values in both training set and test set. But I found the J48
classifier can
not be evaluated on test set with missing values--it just
Hi,
I am using some classifiers in RWeka packages and met a couple problems.
(1) J48 implements C45 classifier, the C45 should be able to handle missing
values in both training set and test set. But I found the J48
classifier can
not be evaluated on test set with missing values--it just
Anybody has any suggestion? Thanks!
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and p
Hi, all,
Recently, I met one issue when using socket between R & C++ to transmit R
object. Would you pls help give me some suggestions? Many thanks!
[Background]:
I create a socket connection between R & C++ binary first, and then, want
to use saveRDS() or save() in R to save the object into con
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