Displaying 20 results from an estimated 11000 matches similar to: "lda"
2007 Apr 17
1
PROC DISCRIM vs. lda( ) in MASS
Hello,
I am using WinXP, R version 2.3.1, and SAS for PC version 8.1.
I have mostly used SAS over the last 4 years and would like to
compare the output of PROC DISCRIM to that of lda( ) with respect
to a very specific aspect. My data have k=3 populations and there
are 3 variates in the feature space. When using using the code
PROC DISCRIM DATA = FOO OUT = FOO_OUT OUTSTAT = FOOSTAT
2011 Jul 12
1
spatial logit help
Please I am new to R. I got the following code from a friend:
gmat <- cbind(gmat,p*(1-p)*wxb)
for (j in seq(1:ncol(gmat))) {
gmat[,j] <- fitted(lm(gmat[,j]~zmat))
}
It is for spatial logit.
After defining all the matrices in it such as P, wxb, gmat, and zmat,
I tried to run it in R and got the following error message:
Error in model.frame.default(formula = gmat[, j] ~ zmat,
2006 Apr 29
1
SSPIR problem
I am having a problem with the package SSPIR. The code below
illustrates it. I keep getting the message: "Error in y - f :
non-conformable arrays."
I tried to tweak the code below in many different ways, for example,
substituting rbind for cbind, and sometimes I get a different error
message, but I could not find a variation of this code that would
work.
Any help will be greatly
2003 Feb 26
1
Odds ratio in fisher.test()
Hello:
Please help me through my confusion. I am having trouble reconciling the
difference between what I believe is the conventional definition of an
odds ratio for a 2-by-2 table and the output produced by fisher.test()
in R. Consider the following example:
> Discrim <- matrix(c(1,10,24,17),
+ nr = 2,
+ dimnames = list(AGE = c('young', 'old'),
+
2011 Nov 15
1
GMAT Prep Software on Winebottler
Hey All,
I downloaded winebottler so that I can run the GMAT Prep software and was successful in downloading it but i am now running into a few problems. For examples, if there is a "next" icon on the window, I will need to click on it and hit the space bar simultaneously to move on to the next page. I was able to do this on the writing assessment section of the practice test but on the
2015 Jan 21
2
[PATCH] customize: add --commands-from-file
Pass to --commands-from-file the name of a file containing customization
commands in each line, as if they were specified as command line
arguments.
This eases the reuse of commands among different
builder/customize/sysprep invocations.
---
builder/cmdline.ml | 3 +-
customize/customize_run.ml | 5 +++
generator/customize.ml | 98 ++++++++++++++++++++++++++++++++++++++++++++--
3
2008 Jun 25
1
LDA on pre-assigned training and testing data sets
Dear r-help
I am trying to run LDA on a training data set, and test it on another data set with the same variables. I found examples using crossvalidation, and using training and testing data sets set up with sample, but not when they are preassigned.
Here is what I tried
# FIRST SET UP A DATAFRAME WITH ALL THE DATA AND CREATE NEW VARIABLES
traintest1 <-
2018 Dec 25
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Tue, Dec 25, 2018 at 05:43:25PM +0800, Jason Wang wrote:
>
> On 2018/12/25 ??1:41, Michael S. Tsirkin wrote:
> > On Mon, Dec 24, 2018 at 11:43:31AM +0800, Jason Wang wrote:
> > > On 2018/12/14 ??9:20, Michael S. Tsirkin wrote:
> > > > On Fri, Dec 14, 2018 at 10:43:03AM +0800, Jason Wang wrote:
> > > > > On 2018/12/13 ??10:31, Michael S. Tsirkin
2018 Dec 25
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Tue, Dec 25, 2018 at 05:43:25PM +0800, Jason Wang wrote:
>
> On 2018/12/25 ??1:41, Michael S. Tsirkin wrote:
> > On Mon, Dec 24, 2018 at 11:43:31AM +0800, Jason Wang wrote:
> > > On 2018/12/14 ??9:20, Michael S. Tsirkin wrote:
> > > > On Fri, Dec 14, 2018 at 10:43:03AM +0800, Jason Wang wrote:
> > > > > On 2018/12/13 ??10:31, Michael S. Tsirkin
2018 Dec 26
1
[PATCH net V2 4/4] vhost: log dirty page correctly
On Wed, Dec 26, 2018 at 01:43:26PM +0800, Jason Wang wrote:
>
> On 2018/12/26 ??12:25, Michael S. Tsirkin wrote:
> > On Tue, Dec 25, 2018 at 05:43:25PM +0800, Jason Wang wrote:
> > > On 2018/12/25 ??1:41, Michael S. Tsirkin wrote:
> > > > On Mon, Dec 24, 2018 at 11:43:31AM +0800, Jason Wang wrote:
> > > > > On 2018/12/14 ??9:20, Michael S. Tsirkin
2018 Dec 24
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Mon, Dec 24, 2018 at 11:43:31AM +0800, Jason Wang wrote:
>
> On 2018/12/14 ??9:20, Michael S. Tsirkin wrote:
> > On Fri, Dec 14, 2018 at 10:43:03AM +0800, Jason Wang wrote:
> > > On 2018/12/13 ??10:31, Michael S. Tsirkin wrote:
> > > > > Just to make sure I understand this. It looks to me we should:
> > > > >
> > > > > - allow
2018 Dec 24
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Mon, Dec 24, 2018 at 11:43:31AM +0800, Jason Wang wrote:
>
> On 2018/12/14 ??9:20, Michael S. Tsirkin wrote:
> > On Fri, Dec 14, 2018 at 10:43:03AM +0800, Jason Wang wrote:
> > > On 2018/12/13 ??10:31, Michael S. Tsirkin wrote:
> > > > > Just to make sure I understand this. It looks to me we should:
> > > > >
> > > > > - allow
2008 Nov 24
3
Is this correct?
I have to answer the following question for a homework assignment.
A researcher was interested in whether people taking part in sports at
university made more money after graduating, taking into account the
students' GPA. They sampled 200 alumni from a large university. The
variables are: income (income 10 years after graduating), sports (1 if they
did sports, 0 if they did not), and GPA (the
2013 Jan 22
4
Simple use of dcast (reshape2 package)
Suppose I have a small dataframe
> aa
Target Eaten ID
50 TPP 0 1
51 TPP 1 2
52 TPP 3 3
53 TPP 1 4
54 TPP 2 5
50.1 GPA 9 1
51.1 GPA 11 2
52.1 GPA 8 3
53.1 GPA 8 4
54.1 GPA 10 5
And I want to reshape it into
ID TPP GPA
1 1 0 9
2 2 1 11
3 3 3 8
4 4 1 8
5 5 2 10
I realise that
2018 Dec 13
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Thu, Dec 13, 2018 at 10:39:41AM +0800, Jason Wang wrote:
>
> On 2018/12/12 ??10:32, Michael S. Tsirkin wrote:
> > On Wed, Dec 12, 2018 at 06:08:19PM +0800, Jason Wang wrote:
> > > Vhost dirty page logging API is designed to sync through GPA. But we
> > > try to log GIOVA when device IOTLB is enabled. This is wrong and may
> > > lead to missing data after
2018 Dec 13
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Thu, Dec 13, 2018 at 10:39:41AM +0800, Jason Wang wrote:
>
> On 2018/12/12 ??10:32, Michael S. Tsirkin wrote:
> > On Wed, Dec 12, 2018 at 06:08:19PM +0800, Jason Wang wrote:
> > > Vhost dirty page logging API is designed to sync through GPA. But we
> > > try to log GIOVA when device IOTLB is enabled. This is wrong and may
> > > lead to missing data after
2018 Dec 14
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Fri, Dec 14, 2018 at 10:43:03AM +0800, Jason Wang wrote:
>
> On 2018/12/13 ??10:31, Michael S. Tsirkin wrote:
> > > Just to make sure I understand this. It looks to me we should:
> > >
> > > - allow passing GIOVA->GPA through UAPI
> > >
> > > - cache GIOVA->GPA somewhere but still use GIOVA->HVA in device IOTLB for
> > >
2018 Dec 14
2
[PATCH net V2 4/4] vhost: log dirty page correctly
On Fri, Dec 14, 2018 at 10:43:03AM +0800, Jason Wang wrote:
>
> On 2018/12/13 ??10:31, Michael S. Tsirkin wrote:
> > > Just to make sure I understand this. It looks to me we should:
> > >
> > > - allow passing GIOVA->GPA through UAPI
> > >
> > > - cache GIOVA->GPA somewhere but still use GIOVA->HVA in device IOTLB for
> > >
2019 Sep 10
1
[RFC PATCH v6 69/92] kvm: x86: keep the page protected if tracked by the introspection tool
On Fri, Aug 09, 2019 at 07:00:24PM +0300, Adalbert Laz?r wrote:
> This patch might be obsolete thanks to single-stepping.
sooo should it be skipped from this large patchset to easy
review?
>
> Signed-off-by: Adalbert Laz?r <alazar at bitdefender.com>
> ---
> arch/x86/kvm/x86.c | 9 +++++++--
> 1 file changed, 7 insertions(+), 2 deletions(-)
>
> diff --git
2006 Jun 15
1
SSPIR problem
Dear R-Users,
I'm using SSPIR package for a spatio-temporal application.
Is it possible to modify the structure of the involved matrixes (Fmat,
Gmat, Vmat,Wmat)?
I want to create a model like this
#y(t)=k*theta(t)+epsilon(t)
#theta(t)=h*theta(t-1)+eta(t)
#epsilon(t) N(0,V) V=sigma2*I
#eta(t) N(0,W) W=sigma2_eta
where the state variable theta has dimension 1(p=1) and at