refers to number of matrices to be averaged.
meanmtrx=apply(data,1:2,mean)
but I do not know how to use the resulting data frames with cbind(). Maybe
there are other better ways. Any advice is appreciated.
Thank you very much.
Have a nice day.
ya
[[alternative HTML version deleted
Dear Arun and David,
Thank you very much for the response.
Arun's code works. Thank you very much.
David, I am sorry that I did not quite get the mean of your code, but still,
thank you very much for helping.
Best regards,
ya
> -Original Message-
> From: r-hel
Hi Ehsan,
What do you mean by percent correctly predicted? Could you provide more info
about your model? It might be helpful to get a clue.
ya
From: ehsan rahimi
Date: 2013-01-24 12:52
To: r-help
Subject: [R] mlogit Package
I have problem as follows:
I use "mlogit package" to
t; class(formi$bulg_3)
[1] "numeric"
The TeacherID_1 is the second level ID. bulg_1, bulg_2, and bulg_3 are
continuous variables that need to be imputed. Why the factor() was used for
continuous variables?
Thank you very much.
Best regards,
ya
[[alternative HTML version del
continuous variables that need to
be imputed.
Why the factor() function was used here: Error in factor(x[, type == (-2)],
labels = 1:n.class)
Thank you very much.
Best regards,
ya
·¢¼þÈË£º ya
·¢ËÍʱ¼ä£º 2012-09-19 11:30
ÊÕ¼þÈË£º 32680822
Ö÷Ì⣺ Fw: invalid labels; length 2 should be 1 or 0
:
invalid labels; length 2 should be 1 or 0
The class variable is â2. Random effects 2, and fixed effects 1, not in the
model: 0. Can anyone give me some advice please?
Thank you very much.
Best regards,
ya
[[alternative HTML version deleted]]
_
and v14-v15. I can
succeed in imputing the v1-v5 if v14 and v15 were not in the model, but I could
not impute the missing values in v14 and v15.
Thank you very much.
Best regards,
ya
[[alternative HTML version deleted]]
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0 with Chi Square = 6.14 with prob < 0.29
Best regards,
ya
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PLEASE do read the posting guide http://www.R-proj
udstat? Does it even really
exist?
Thank you very much for any suggestions.
Best regards,
ya
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PLEASE do read the pos
the transition from one
class to another across time points?
Thank you very much.
ya
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PLEASE do read the posting guide http
h category of that
IV.
This is one of the reasons I can not fully move to R from SPSS. So any
suggestions?
Thank you very much.
ya
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h category of that
IV.
This is one of the reasons I can not fully move to R from SPSS. So any
suggestions?
Thank you very much.
ya
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Thanks Bert.
So far I have not found any way that output a single data set which combines
all the imputed data sets (say, 50 imputed data sets). Probably I missed
something, but could you share some information about it, maybe a link?
Thank you very much for helping.
ya
From: Bert Gunter
is, but my guts told me this
may not be a good idea since the estimates and standard error, significance...
, etc can not be just simply averaged. Also, I understand that single
imputation in this situation may not be appropriate.
Maybe I just asked for too much:)
Best regards,
ya
From:
Hi Miles and Yves,
I agree with Miles to use lavaan to do regression so that FIML can be used.
This is one of the amazing things that lavaan can do. If lavaan can handle
missing values for the univariate regression using FIML, I don't see why you
want to avoid it.
ya
From: Andrew
lues for the
intercept term? I already have the unit ID variables in the data set, should I
change all the values of it to -2? and what does 0 and 1 in "R> pred["popular",
] <- c(0, -2, 0, 2, 1, 2, 0) " mean?
4. Is there any
16587 0.2015711 0.1960397 0.3745362 0.2108851 0.2545268 0.4241958 0.2146440
[16] 0.2520252 0.2380274 0.2131245 0.3006583 0.2464491 0.2915607 0.2173454
0.1970864 0.1422042
Thank you very much.
YA
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LIKE:)
On 2012-4-5 15:03, Viechtbauer Wolfgang (STAT) wrote:
I do not see any major difficulties with this case either. Suppose you have OR
= 1.5 (with 95% CI: 1.19 to 1.90) indicating that the odds of a particular
outcome (e.g., disease) is 1.5 times greater when the (continuous) exposure
Hi guys,
I have a question. I am running 3 R sessions simultaneously for
different analysis. I found out that when R quit, only objects in one of
these sessions was saved in the work space. How can I save objects of
all 3 R sessions?
Thank you very much.
YA
together:)
Thank you very much. This save me lots of time!
Best regards,
ya
On 2012-4-10 15:14, Petr PIKAL wrote:
Hi
You'll need to save them manually to avoid name conflicts --
save.image()
is the function to do so but you need to give a file name.
Or it is necessary have separate folde
together:)
Thank you very much. This save me lots of time!
Best regards,
ya
On 2012-4-10 15:14, Petr PIKAL wrote:
Hi
You'll need to save them manually to avoid name conflicts --
save.image()
is the function to do so but you need to give a file name.
Or it is necessary have separate folde
+G.HRS,random=~1+LEAD|GRP) ?
Thank you very much.
Best regards,
YA
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented
Hi Thierry,
Thank you very much.
Best regards,
YA
On 2012-4-15 1:06, ONKELINX, Thierry wrote:
Both specifications are the same model. An intercept is added by default unless
you use +0 or -1
like ~0 + LEAD|GRP or ~ -1 + LEAD|GRP
Van: r-help-boun
Hi Partha,
two different R version can coexist together, in the same "R" folder.
YA
On 2012-4-16 13:44, Partha Sinha wrote:
I want to install R 2.15.0 without uninstalling R 2.13 (currently
using ). if I install can upgrade take place or we will install two
instances o
it's more efficient by paralleling my CPU. I
got an intel dual core i5 processor in a Thankpad x201 laptop. And I
have used install.packages ("parallel") in R 2.15 on both linux and
windows xp, no package installed. So maybe this package is not on cran?
Any idea?
, and there are 4 charts in the
task manager on windows xp(meaning 4 cpus or 4 cores?). However, I
failed to figure out how to combine the mice function with the package
"parallel". Any suggestions how I should write the code?
Thank you very much.
ya
On 04/29/2012 10:47
mc), mice(data2, m = 10)) :
> all scheduled cores encountered errors in user code
>
>
> I have a intel dual core i5 processor, and there are 4 charts in the
> task manager on windows xp(meaning 4 cpus or 4 cores?). However, I
> failed to figure out how to combine the mice function wit
Hi Uwe,
Thank you very much for the suggestions.
ya
ya
From: Uwe Ligges
Date: 2012-04-30 15:18
To: ya
CC: Indrajit Sengupta; r-help@r-project.org
Subject: Re: [R] "parallel" package
On 29.04.2012 12:01, ya wrote:
> Hi Uwe and Indrajit,
>
> Thank you very much for the
Hi,
Is it possible to read, say 100 dat files in one time? I want to combine these
100 data set into one single dat file.
Any suggestions?
Thank you very much.
ya
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Hi everyone,
Is there anyway I can convert more than 400 numeric variables to categorical
variables simultaneously?
as.factor() is really slow, and only one at a time.
Thank you very much.
ya
[[alternative HTML version deleted]]
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R-help@r
the number of variables I need to convert getting more, I need to keep left
clicking mouse to confirm the conversion (400 times) because as.factor() can
only convert 1 variable at a time. So I am thinking if there is any faster way.
Thank you very much.
Best regards,
ya
ya
From: R. Michael
g.matrix must have at least one row and one column
And here is the example code:
> x <- read.big.matrix("airline.csv", header=TRUE,
+ backingfile="airline.bin",
+ descriptorfile="airline.desc",
+ type="integer")
So, what was wrong? Any suggestions p
ass
generated by bigmemory package to a data.frame?
Thank you very much.
ya
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commen
ted.
Any advice are appreciated. Thank you very much.
Best regards,
YA
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, min
for handling complicated analysis situation.
This is just a general thought.
Thank you very much.
ya
From: Jay Emerson
Date: 2012-05-11 14:44
To: ya; r help
Subject: RE: bigmemory
To answer your first question about read.big.matrix(), we don't know what your
acc3.dat file is, but it doesn&
Hi Jay,
Thanks for the reply:)
Could you show me a link of the c++ examples? Thank you very much.
ya
ya
From: Jay Emerson
Date: 2012-05-11 20:12
To: xinxi813
CC: r-help
Subject: Re: bigmemory
R internally uses 32-bit integers for indexing (though this may change). For
this and other
install R on my tiny core
linux. Good luck:)
ya
From: Soheila Khodakarim
Date: 2012-05-27 18:15
To: r-help
Subject: [R] linux
Dear All
Pleade give me an URL that I can download R for cenos linux 64 bit.
[[alternative HTML version deleted]]
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Hi Rich£¬
You mean, the R source code package contains the FORTRAN code? I install gcc
every time before I try to compile R, still, it shows lack of a bunch of
compilers...
ya
From: Rich Shepard
Date: 2012-05-27 18:14
To: r-help
Subject: Re: [R] linux
On Sun, 27 May 2012, ya wrote:
>
probabilities and standard
errors for the marginal probabilities. Which option in lmer would give me
those two kind of values?
Thank you.
Ya Ma
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Dear R-user,
I would like to get the survival probability (surv) for each subject id.
That is, I want to have additional column surv as follows:
id OS OS_DUR surv
eg:
fitKM<-survfit(Surv(OS_DUR,OS)~1,data=data)
fitKM$surv # this will only give me survival probability and
Dear R users,
I use "fitted" function in JM package to get fitted marginal survival
function for each subject and then plot marginal survival function for the
event process (x-axis: time, y-axis: survival). Is it possible that I could
get pointwise 95%CI for this survial function?
Thanks,
Kate
ly do not know where the
problem is. How can I do?
Best regards,
Hsin-Ya
Andrew Robinson-6 wrote:
>
> In your data, subject is nested within sequence. Was that your
> intention?
>
>> a<-c(1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,
Dear Dr. Dalgaard
Sorry for delay reply..
That's exactly what I was looking for - thanks a lot.
Hsin-Ya
Peter Dalgaard wrote:
>
>
>
> Andrew Robinson wrote:
>> In your data, subject is nested within sequence. Was that your
>> intention?
>>
>&g
=x, formulation=y, subject=z, time=t, concentration=c)
A.split<-split(df, list(df$pH ,df$formulation, df$subject) )
A.split []
Best regards,
Hsin-Ya Lee
Henrique Dallazuanna wrote:
>
> Try this:
>
> A.split[[1]]["time"]
> A.split[[1]][["concentration"
gression. For example, I used the “regression” function of Microsoft
Excel 2003 and intercept is -0.01894 and X is 0.185758. I think that if I
can catch “test” (Y) values and “concentration” (X) values into a dataframe,
then I can use “lm” to fit linear models. So, how to catch all “test”
values fro
o fit linear models. So, how to catch all “test” values from
different dataframes? Or what should I do?
Best regards,
Hsin-Ya Lee
--
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Sent from the R help
Hi,
I am currently trying to do a GLMM on a dataset with percent cover of
seagrass (dep. var) and a suite of explanatory variables including algal
(AC) and epiphyte cover (EC), rainfall, temperature and sunshine hours.
M2=glmer(SG~AC+EC+TP+SS+RF+(1|Location/fSi/fTr),
family=binomial,data=data,n
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