Displaying 20 results from an estimated 1000 matches similar to: "Question about match.fun()"
2004 May 11
1
How to use c routines in the exiting package?
Hi all,
I want to know some details about the c routine “lasso” in the functions
of “gl1ce()” . However, I have following troubles. First, I can not
find the routine in the local directories of this function (or package).
Second, if I found the routine, could I call it just like this way, say,
fit <- .C("lasso", …,PACKAGE = "lasso2") in my own functions. My system
is
2007 Jul 25
1
question on using "gl1ce" from "lasso2" package
Hi,
I tried several settings by using the "family=gaussian"
in "gl1ce", but none of them works.
For the case "glm" can work.
Here is the error message I got:
> glm(Petal.Width~Sepal.Length+Sepal.Width+Petal.Length
,data=iris,family=gaussian())
> gl1ce(Petal.Width~Sepal.Length+Sepal.Width+Petal.Length
,data=iris,family=gaussian())
Error in eval(expr, envir,
2003 Dec 04
2
predict.gl1ce question
Hi,
I'm using gl1ce with family=binomial like so:
>yy
succ fail
[1,] 76 23
[2,] 32 67
[3,] 56 43
...
[24,] 81 18
>xx
c1219 c643
X1 0.04545455 0.64274145
X2 0.17723669 0.90392792
...
X24 0.80629054 0.12239320
>test.gl1ce <- gl1ce(yy ~ xx, family = binomial(link=logit), bound =
0.5 )
or
>omit <- c(2,3)
>test.gl1ce
2009 Apr 02
2
all subsets for glm
Dear R-users,
For the purpose of model selection I am looking for a way to
exhaustively (and efficiently) search for best subsets of predictor
variables for a logistic regression model.
I am looking for something like leaps() but that works with glm.
Any feedback highly appreciated.
--
Harald von Waldow <hvwaldow at chem.ethz.ch>
Safety and Environmental Technology Group
Institute for
2007 Nov 09
1
help with lasso2 package
X is a matrix and F is a vector.
F2 <- data.frame(cbind(X,F))
F2
V1 V2 V3 F
1 -0.250536332 -1.4755883 1.9580974 -2.136487
2 -0.009856084 0.4953269 0.5486092 -2.744482
3 -0.406962682 0.7729631 0.1861905 -2.891821
4 1.938780097 0.7469251 1.2537781 -1.212992
5 -0.332370358 1.1943637 0.7114278 -1.830441
modF<-formula(F ~ V1 + V2 + V3) #no error message
2010 Jun 27
1
Dual nw card problem again
I have had problems like this before. Probably there is something
important that I don't know about routing.
Let me introduce to you "Lasso2", a CentOS 4 www server that has been
working perfectly well for years.
Now I added a second nw card (eth1), automatically using kudzu. I cannot
get this dual nw setup to work. The first nw card (eth0) stopped at once
working properly,
2007 May 18
0
Cross-validation for logistic regression with lasso2
Hello, I am trying to shrink the coefficients of a logistic regression for a
sparse dataset, I am using the lasso (lasso2) and I am trying to determine
the shrinkinage factor by cross-validation. I would like please some of the
experts here to tell me whether i'm doing it correctly or not. Below is my
dataset and the functions I use
w=
a b c d e P A
0 0 0 0 0 1 879
1 0 0 0 0 1 3
0 1 0 0 0 7 7
2011 May 17
5
Feed a list of filenames to vim
There are some googlable ways to feed a list of filenames to vim, but I
stumble on weird results.
With my filelist, I try to do
cat list | xargs vim
...to edit the files listed in the file "list". Here's what happens:
[root at lasso2 tempdir]# ls -l
total 8
-rw-r--r-- 1 root root 0 May 17 18:28 a
-rw-r--r-- 1 root root 0 May 17 18:28 b
-rw-r--r-- 1 root root 3 May 17
2003 Jul 13
3
How to install a package
Dear R community:
My platform: R 1.7.0 + windows2000.
I am trying to install the package "lasso2" which I saw in the following web address: http://cran.us.r-project.org/src/contrib/PACKAGES.html#emplik. However, I failed to install it from R menu "Packages| Install package(s) from CRAN" since I
could not find this item in the list.
Thanks in advance!
Rui
[[alternative
2003 Jul 13
3
How to install a package
Dear R community:
My platform: R 1.7.0 + windows2000.
I am trying to install the package "lasso2" which I saw in the following web address: http://cran.us.r-project.org/src/contrib/PACKAGES.html#emplik. However, I failed to install it from R menu "Packages| Install package(s) from CRAN" since I
could not find this item in the list.
Thanks in advance!
Rui
[[alternative
2007 Aug 28
1
The l1ce function in lasso2: The bound and absolute.t parameters.
Dear all,
I am quite puzzled about the bound and absolute.t arguments to the l1ce function in the lasso2 package. (The l1ce function estimates the regression parameter b in a regression model y=Xb+e subject to the constraint that |b|<t for some value t).
The doc says:
bound numeric, either a single number or a vector: the constraint(s) that is/are put onto the L1 norm of the parameters.
2012 Mar 27
2
lasso constraint
In the package lasso2, there is a Prostate Data. To find coefficients in the
prostate cancer example we could impose L1 constraint on the parameters.
code is:
data(Prostate)
p.mean <- apply(Prostate, 5,mean)
pros <- sweep(Prostate, 5, p.mean, "-")
p.std <- apply(pros, 5, var)
pros <- sweep(pros, 5, sqrt(p.std),"/")
pros[, "lpsa"] <-
2003 Dec 08
1
trouble with predict.l1ce
Dear R-help,
I am having trouble with the predict function in lasso2. For example:
> data(Iowa)
> l1c.I <- l1ce(Yield ~ ., Iowa, bound = 10, absolute.t=TRUE)
> predict (l1c.I) # this works is fine
> predict (l1c.I,Iowa)
Error in eval(exper,envir, enclos) : couldn't find function "Yield"
And I have similar trouble whenever I use the newdata argument in
2006 Aug 18
2
apply least angle regression to generalized linear models
Hello list,
I've been searching around trying to find whether somebody has written such
a package of least angle regression on generalized linear models, like what
Lasso2 package does. The extension to generalized linear models is briefly
discussed in the comment by D. Madigan and G. Ridgeway. Is such a package
available? Thanks,
Mike
[[alternative HTML version deleted]]
2006 Sep 15
2
LARS for generalized linear models
Hi,
Is there an R implementation of least angle regression for binary response
modeling? I know that this question has been asked before, and I am also
aware of the "lasso2" package, but that only implements an L1 penalty, i.e.
the Lasso approach.
Madigan and Ridgeway in their discussion of Efron et al (2004) describe a
LARS-type algorithm for generalized linear models. Has
2011 Sep 19
1
Constrained regressions (suggestions welcome)
All,
Could anyone recommend a package that allows the user to constrain the
coefficients from a multiple regression equation?
I tried using the gl1ce function in lasso2, but couldn't get it to
work. I created a contrived example to illustrate my starting point.
data(cars)
fmla <- formula(dist ~ speed)
gl1c.E <- gl1ce(fmla, data = cars)
gl1c.E
gl1c.E <- gl1ce(fmla, data =
2005 Feb 11
1
Help concerning Lasso::l1ce
Hi,
First, when I try the example Prostate with bound 0.44
(as in the manual), I got a different result:
> l1c.P <- l1ce(lpsa ~ ., Prostate, bound=0.44)
> l1c.P
....
Coefficients:
(Intercept) lcavol lweight age
lbph svi
1.0435803 0.4740831 0.1953156 0.0000000
0.0000000 0.3758199
lcp gleason pgg45
0.0000000 0.0000000
2005 Nov 04
1
small bug in gl1ce, package lasso2 (PR#8280)
Full_Name: Grant Izmirlian
Version: 2.2.0
OS: SuSe Linux version 9.2
Submission from: (NULL) (156.40.34.177)
Sorry about the last submission, my bug-fix had an error in it because ifelse
doesn't vectorize. I'll repost with the correct bug-fix.
-------------------------------------------------------------------------------
The option exists to include all parameters, including the
2010 Apr 21
1
Best subset of models for glm.nb()
Dear List,
I am looking for a function that will find the best subset of negative binomial models. I have a large data set with 15 variables that I am interested in. I want an easy way to run all possible models and find a subset of the "best" models that I can then look at in more detail. I have found two functions that seem to provide what I am looking for, but am not sure which
2011 Jun 13
2
Two servers One virtual desktop
Can two wineserver share the same virtualdesktop?
I got nearly to an impasse: one windows application (A) must run
continuously without interruption, while (B) is supposed to respawn
frequently and interact with (A).
Well, whatever (A) application is has absolutely no influence on
troubles, but if (B) is autoHotKey (..yes i need that stuff under
debian) it's execution times get delayed