Displaying 20 results from an estimated 6000 matches similar to: "Where is gam?"
2000 Oct 02
3
R vs S-PLUS with regard to memory usage
I am trying to translate code from S-PLUS to R and R really struggles!
After starting R with the foll.
R --vsize 50M --nsize 6M --no-restore
on a 400 MHz Pentium with 192 MB of memory running Linux (RH 6.2),
I run a function that essentially picks up an external dataset with 2121
rows
and 30 columns and builds a lm() object and also runs step() ... the step()
takes forever to run...(takes very
2000 Sep 28
1
tcltk package functionality
Hello,
I wrote a function in R which uses tcltk package .... essentially I wanted
to give within that function, a widget with 2 radiobuttons to choose
between plotting Precip and Temperature plots. After the user has chosen
one of the radiobuttons there is another widget that asking him to identify
outliers. However, I am having a lot of problems...what R does is evaluate
the whole function
2009 Jun 11
2
Optimization Question
Hi All
Apologies if this is not the correct list for this question.
The Rglpk package offers the following example in its documentation
library(Rglpk)
## Simple mixed integer linear program.
## maximize: 3 x_1 + 1 x_2 + 3 x_3
## subject to: -1 x_1 + 2 x_2 + x_3 <= 4
## 4 x_2 - 3 x_3 <= 2
## x_1 - 3 x_2 + 2 x_3 <= 3
## x_1, x_3 are non-negative integers
## x_2 is a non-negative real
2009 Dec 04
2
Solve linear program without objective function
Dear R-users,
i try to solve to following linear programm in R
0 * x_1 + 2/3 * x_2 + 1/3 * x_3 + 1/3 * x_4 = 0.3
x_1 + x_2 + x_3 + x_4 = 1
x_1, x_2, x_3, x_4 > 0,
x_1, x_2, x_3, x_4 < 1
as you can see i have no objective function here besides that i use the
following code.
library(lpSolve)
f.obj<-c(1,1,1,1)
f.con<-matrix(c(0,2/3,1/3,1/3,
1,1,1,1,
2004 May 21
2
Help with Plotting Function
Dear List:
I cannot seem to find a way to plot my data correctly. I have a small data frame with 6 total variables (x_1 ... x_6).
I am trying to plot x_1 against x_2 and x_3.
I have tried
plot(x_2, x_1) #obviously works fine
plot(x_3, x_1, add=TRUE) # Does not work. I keep getting error messages.
I would also like to add ablines to this plot.
I have experimented with a number of other
2009 Aug 24
2
Formulas in gam function of mgcv package
Dear R-experts,
I have a question on the formulas used in the gam function of the mgcv
package.
I am trying to understand the relationships between:
y~s(x1)+s(x2)+s(x3)+s(x4)
and
y~s(x1,x2,x3,x4)
Does the latter contain the former? what about the smoothers of all
interaction terms?
I have (tried to) read the manual pages of gam, formula.gam, smooth.terms,
linear.functional.terms but
2009 Aug 24
2
Formulas in gam function of mgcv package
Dear R-experts,
I have a question on the formulas used in the gam function of the mgcv
package.
I am trying to understand the relationships between:
y~s(x1)+s(x2)+s(x3)+s(x4)
and
y~s(x1,x2,x3,x4)
Does the latter contain the former? what about the smoothers of all
interaction terms?
I have (tried to) read the manual pages of gam, formula.gam, smooth.terms,
linear.functional.terms but
2012 Sep 05
2
Improvement of Regression Model
Hello folks,
I am on learning phase of R. I have developed Regression Model over six
predictor variables. while development, i found my all data are not very
linear. So, may because of this the prediction of my model is not exact.
Here is the summary of model :
Call:
lm(formula = y ~ x_1 + x_2 + x_3 + x_4 + x_5 + x_6)
Residuals:
Min 1Q Median 3Q Max
-125.302
2014 Aug 14
2
[LLVMdev] Alias Analysis Semantics
On Thu, Aug 14, 2014 at 6:37 AM, Daniel Berlin <dberlin at dberlin.org> wrote:
> On Wed, Aug 13, 2014 at 8:35 PM, Jeremy Salwen <jeremysalwen at gmail.com> wrote:
>> Hey Daniel,
>>
>> Thanks again for the help. I'm still a bit confused about the interface to
>> the alias analysis. It seems like we are talking about different
>> interfaces.
>
2009 Feb 12
1
General query regarding scoring new observations
Hi,
I was wondering if I can have some advice on the following problem.
Let's say that I have a problem in which I want to predict a binary outcome
and I use logistic regression for that purpose. In addition, suppose that my
model includes predictors that will not be used in scoring new observations
but must be used during model training to absorb certain effects that could
bias the
2011 May 22
2
Finding solution set of system of linear equations.
I have a simple system of linear equations to solve for X, aX=b:
> a
[,1] [,2] [,3] [,4]
[1,] 1 2 1 1
[2,] 3 0 0 4
[3,] 1 -4 -2 -2
[4,] 0 0 0 0
> b
[,1]
[1,] 0
[2,] 2
[3,] 2
[4,] 0
(This is ex Ch1, 2.2 of Artin, Algebra).
So, 3 eqs in 4 unknowns. One can easily use row-reductions to find a
homogeneous solution(b=0) of:
X_1
2014 Aug 21
2
[LLVMdev] Alias Analysis Semantics
Hi Daniel,
Sorry for taking so long to respond. I spoke with a colleague more
familiar with llvm who thought he could clear up my confusion, but we both
came out of the conversation confused. I will try my best to explain the
ambiguity.
In an DAG, alias queries would be completely unambiguous. Every
instruction would only be executed once, and every SSA value really would
have a single static
2014 Aug 21
2
[LLVMdev] Alias Analysis Semantics
Hi Hal,
Thank you for your email, that makes a lot of sense to me. I am working on
some tools to use memory profiling to speculatively replace memory loads
and stores with value forwarding in hardware implementations. I'd like to
compare the profiled data to static alias analysis, so it would be super
useful if there was a way to answer the questions about aliasing across
backedges that
2006 Dec 08
1
MAXIMIZATION WITH CONSTRAINTS
Dear R users,
I?m a graduate students and in my master thesis I must
obtain the values of the parameters x_i which maximize this
Multinomial log?likelihood function
log(n!)-sum_{i=1]^4 log(n_i!)+sum_
{i=1}^4 n_i log(x_i)
under the following constraints:
a) sum_i x_i=1,
x_i>=0,
b) x_1<=x_2+x_3+x_4
c)x_2<=x_3+x_4
I have been using the
?ConstrOptim? R-function with the instructions
2006 Jan 19
2
gam
Dear R users,
I'm new to both R and to this list and would like to get
advice on how to build generalized additive models in R.
Based on the description of gam, which I found on the R
website, I specified the following model:
model1<-gam(ST~s(MOWST1),family=binomial,data=strikes.S),
in which ST is my binary response variable and MOWST1 is a
categorical independent variable.
I get the
2011 Jun 19
2
please help! what are the different using log-link function and log transformation?
I'm new R-programming user, I need to use gam function.
y<-gam(a~s(b),family=gaussian(link=log),data)
y<-gam(loga~s(b), family =gaussian (link=identity),data)
why these two command results are different?
I guess these two command results are same, but actally these two command
results are different, Why?
--
View this message in context:
2014 Aug 13
2
[LLVMdev] Alias Analysis Semantics
Thanks Daniel!
I think you've cleared up some of my misconceptions, but I still am a bit
confused about some of the corner cases.
Suppose we had something like this
std::vector<int> A(100);
> int* x,y;
> x=&A[0];
>
for(int i=0; i<100; i++) {
> y=&A[i];
> *y=*x;
> x=&A[i+1];
> }
>
Would the load and store instructions be MustAlias? I
2007 Aug 15
1
Polynomial fitting
Hi everybody!
I'm looking some way to do in R a polynomial fit, say like polyfit
function of Octave/MATLAB.
For who don't know, c = polyfit(x,y,m) finds the coefficients of a
polynomial p(x) of degree m that fits the data, p(x[i]) to y[i], in a
least squares sense. The result c is a vector of length m+1 containing
the polynomial coefficients in descending powers:
p(x) = c[1]*x^n +
2000 Sep 22
3
eval functions... (PR#668)
Full_Name: Anantha Prasad
Version: 1.1.1
OS: Linux
Submission from: (NULL) (199.131.134.30)
I am trying to convert some S-PLUS code to R (a tcl/tk application that uses
R)...
here is the error I got in R (but not in S-PLUS)...so I am wondering if it is a
bug.
Eg., the foll. extract from a function runs fine in S-PLUS but gives the error:
Error in x[[j]] : subscript out of bounds
in R
code
2007 Nov 19
2
All nonnegative integer solution
Dear all,
Is there any method in R to find all possible nonnegative integer
solutions to the linear equation with unit coefficients as follow:
X1+X2+...+Xk=N
Thank you,
Amin Zollanvari