Displaying 20 results from an estimated 29 matches for "analyi".
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analyis
2013 Feb 22
1
Is it possible to obtain an agglomeration schedule with R cluster analyis
Hello,
In SPSS the cluster analysis output includes an agglomerations
schedule, which details the stages when cases are joined.
Is it possible to obtain such output when performing cluster analysis
in R? If so, I'd appreciate advice regarding how to obtain this information.
Any assistance is appreciated,
Regards
Bob
2013 Apr 27
1
using metafor for meta-analysis of before-after studies
Hello, Dr. Viechtbauer.
I am trying to perform a meta-analyis on a group of before-after studies using Metafor. I read your webpage including your correspondence with Dr. Dewey (https://stat.ethz.ch/pipermail/r-help/2012-April/308946.html), who also conducted a similar study. These information is very hepful, but I have one additonal question which I wonder...
2010 Nov 16
3
discriminant function analysis
My objective is to look at differences in two species of fish from morphometric measurements. My morphometric measurements are head length, eye diameter, snout length, and measurements from tail to each fin. I want to use discrimanant function analyis to determine if there are differences between the two species.
I am familiar with R but new to discrimannt function analysis. I want to learn how to run this analysis in R. My internet search has not been very successful. I did see refrence of the linear discriminant function (lda) in R but...
2018 Apr 09
3
InductiveRangeCheckElimination and BranchProbabilityInfo
..._else()
}
}
But the reported BPI is reported as 50/50 to whether do_something will be called, but we can see with our human eyes that this should be 99%.
So two questions:
- why is BPI used to enable the transformation?
- would it not be more useful for BPI to use something like inductive range analyis to calculate the probability? And if so, what else could make use of it? To me, InductiveRangeCheckElimination feels like it should be separated out into an analysis and the transformation.
- or have I misunderstood how and what BPI does?
Thanks,
sam
Sam Parker
Compilation Tools Engineer | Arm...
2008 Nov 21
1
Dataframe with single level column
...ls=c(rep('A',4),rep('B',4),rep('C',4)))
> d
A B levels
1 77 40 A
2 14 18 A
3 56 7 A
4 46 27 A
5 63 35 B
6 80 21 B
7 3 54 B
8 93 76 B
9 5 46 C
10 16 53 C
11 40 17 C
12 25 31 C
I need to run anova analyis on the group in levels against the merge data in the first two columns. I can manually split and join the different columns as in
> d.t <- rbind(data.frame(value=d[,1],ind=d[,3]),data.frame(value=d[,2],ind=d[,3]))
but I was wondering if there would be a more elegant and easy way than that...
1997 Oct 07
1
R-alpha: keep.order in formulae
[ I'm teaching log-linear models at present, and looking at Agresti's
book. ]
Often when producing analyis of variance or analysis of deviance
tables it is important to get effects fitted in a specific order.
At present in S / R this is done as follows:
anova( glm( terms(formula, keep.order=T), ...) )
Can anyone think of a reason why keep.order should not become an
argument to "lm" and &qu...
2006 Mar 08
1
malloc: vm_allocate(size=381886464) failed (error code=3)
...Mac OS. The
following is the error message that I get. I do not get this message if I
break down the large dataset in to sub datasets. I think breaking up the
dataset is not a sustainable solution in the long run. The data that I am
analysing is essentially big, and it would be reasonable to do the analyis
on the whole dataset without even considering to partition it. So I was
really wondering if you could give me a clue about how to handle this
problem.
model6 <-lm(logintens~ factor (slide) + factor(ind) + factor(dye) +
factor(id)*factor(l6) + factor(rep)-1, data=sample_data2)
*** malloc: vm_...
2018 Apr 10
0
InductiveRangeCheckElimination and BranchProbabilityInfo
..._else()
}
}
But the reported BPI is reported as 50/50 to whether do_something will be called, but we can see with our human eyes that this should be 99%.
So two questions:
- why is BPI used to enable the transformation?
- would it not be more useful for BPI to use something like inductive range analyis to calculate the probability? And if so, what else could make use of it? To me, InductiveRangeCheckElimination feels like it should be separated out into an analysis and the transformation.
- or have I misunderstood how and what BPI does?
Thanks,
sam
Sam Parker
Compilation Tools Engineer | Arm...
2009 Jul 09
5
[LLVMdev] Source file information.
...appropriate debug stop
point intrinsic and then use it to look up the information for that
instruction.
Here is some sample code from SAFECode that finds the debug information
associated with a CallInst (LLVM call instruction) held in the variable
CI. It uses the findStopPoint() function in llvm/Analyis/DebugInfo.h:
//
// Get the line number and source file information for the call.
//
const DbgStopPointInst * StopPt = findStopPoint (CI);
Value * LineNumber;
Value * SourceFile;
if (StopPt) {
LineNumber = StopPt->getLineValue();
SourceFile = StopPt->getFileName();
}...
2009 Jul 09
0
[LLVMdev] Source file information.
...appropriate debug stop
point intrinsic and then use it to look up the information for that
instruction.
Here is some sample code from SAFECode that finds the debug information
associated with a CallInst (LLVM call instruction) held in the variable
CI. It uses the findStopPoint() function in llvm/Analyis/DebugInfo.h:
//
// Get the line number and source file information for the call.
//
const DbgStopPointInst * StopPt = findStopPoint (CI);
Value * LineNumber;
Value * SourceFile;
if (StopPt) {
LineNumber = StopPt->getLineValue
SourceFile = StopPt->getFileName();
}
--...
2005 Apr 16
0
bayesm: a package for Bayesian infererence for Marketing/Micro-Econometrics
...Multinomial and Multivariate Probit
Multivariate Mixtures of Normals
Hierarchical Linear Models with a normal prior and covariates
Hierarchical Multinomial Logits with mixture of normals prior
Bayesian analysis of choice-based conjoint data
Bayesian treatment of linear instrumental variables models
Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
after installing the package, use help.search("mcmc") to display
the key functions.
bayem implements the models discussed in our book, Bayesian Statistics and Marketing
To view a draft of the book visit
http://gsbwww.u...
2000 Feb 02
0
Summary: Archetypal Analysis in R
I previously asked a question about performing archetypal analyis in
R. In addition to the responses I received from r-help, the author
sent me some S code to peform the analysis. With the author's
permission, I ported the S code to R using two excellent sets of
instructions:
(1) From the FAQ - 5.5 How can I create an R package?
(2) Thomas Lumley's inst...
2000 Dec 12
0
correspondence analysis
Hello,
I'm trying to do some correspondence analyis, with R, of course (by
correspondence analysis, I'm refering to JP Benz?cri's methods, in case
there might be some other thing with a similar name)
I've found a couple of tools refering to C.A in the existing packages :
ca() in package multiv and corresp()/mca() in MASS. MASS tools lo...
2007 Oct 15
0
oanda and yahoo get.hist.quote
Hello Alexander
I doubt that such an analyis is very useful as the data is not sampled
synchronously (equity close in the US for ^gspc and even that is not
always at the same time, some average price from Oanda data). Also fx
data from others sources as suggested in another mail on this list would
not really help with this unless it is r...
2005 Apr 16
0
bayesm: a package for Bayesian infererence for Marketing/Micro-Econometrics
...Multinomial and Multivariate Probit
Multivariate Mixtures of Normals
Hierarchical Linear Models with a normal prior and covariates
Hierarchical Multinomial Logits with mixture of normals prior
Bayesian analysis of choice-based conjoint data
Bayesian treatment of linear instrumental variables models
Analyis of Multivariate Ordinal survey data with scale usage heterogeneity
after installing the package, use help.search("mcmc") to display
the key functions.
bayem implements the models discussed in our book, Bayesian Statistics and Marketing
To view a draft of the book visit
http://gsbwww.u...
2011 Feb 22
0
Lacunarity in R
Dear All,
I would like any information about lacunarity analyis in R. Does anyone know if the sliding-box lacunarity analysis of Allain and Cloitre (1991) or Plotnick et al. (1996) has been implemented by anyone in R? Or any R package useful for that? I have seen anything in R mail list files.
Thanks,
Fernando
C. Allain C. and M. Cloitre, 1991. Phys. R...
2011 Feb 25
0
lme in loop help
...a
solution:
# data
ID <- c(1:100)
set.seed(21)
y <- rnorm(100, 10,2)
x1 <- rnorm(100, 10,2)
x2 <- rnorm(100, 10,2)
x3 <- rnorm(100, 10,2)
x4 <- rnorm(100, 10,2)
x5 <- rnorm(100, 10,2)
x6 <- rnorm(100, 10,2)
mydf <- data.frame(ID,y, x1,x2, x3, x4, x5, x6)
# just seperate analyis
require(nlme)
mod1<- lme(fixed= y ~ x1 + x2, random = ~ 1 | ID) # i want to put subject /
ID as random is it correct??
m1 <- anova(mod1)
m1 [1,4] # I am not getting exact value below <.0001???, how to get one?
m1 [2,4]
m1 [3,4]
# putting in a loop
for(i in length(mydf)){
mylme <- NUL...
2011 Nov 24
1
CAPM-GARCH - Regression analysis with heteroskedasticity
...s,
i want to do a CAPM-GARCH model. I didn?t find anything posted online.
(If there is something - shame on me - i didn?t find it.)
My Problem: What is the difference if I let the residuals ?e? follow a
garch process ?
How do I do my regression analysis now? I began reading about regression
analyis with heteroscedasticity, but didn?t get it.
So i started programming.
First loading data with quantmod and applying a function to get continously
compounded returns
and squared returns. Looks good - stylised facts seems to be covered.
Starting with GARCH:
I use a GARCH(1,1) but will use it...
2009 Jul 09
0
[LLVMdev] Source file information.
On 2009-07-09 11:17, Aaron Gray wrote:
>>> -----Original Message-----
>>> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu]
>>>
>> On
>>
>>> Behalf Of Saman Aliari Zonouz
>>> Sent: Thursday, July 09, 2009 11:44 AM
>>> To: llvmdev at cs.uiuc.edu
>>> Subject: [LLVMdev] Source file
2009 Jul 09
3
[LLVMdev] Source file information.
>> -----Original Message-----
>> From: llvmdev-bounces at cs.uiuc.edu [mailto:llvmdev-bounces at cs.uiuc.edu]
> On
>> Behalf Of Saman Aliari Zonouz
>> Sent: Thursday, July 09, 2009 11:44 AM
>> To: llvmdev at cs.uiuc.edu
>> Subject: [LLVMdev] Source file information.
>>
>> Hi,
>>
>> I am new to LLVM, and need to find the line number