similar to: Polynomial regression help

Displaying 20 results from an estimated 200 matches similar to: "Polynomial regression help"

2009 Aug 04
3
Accuracy (PR#13867)
Full_Name: Manuel Luethi Version: 2.9.1 OS: Windows XP Submission from: (NULL) (129.132.128.136) Hi I created the following vectors: p_1=c(0.2,0.2,0.2,0.2,0.1,0.25,0.4,0.1,0.25,0.4,0.1,0.25,0.4,0.1,0.25,0.4,0.2,0.5,0.8,0.2,0.5,0.8,0.2,0.5,0.8,0.2,0.5,0.8) p_2=c(0,0,0,0,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.4,0.25,0.1,0.4,0.25,0.1,0.4,0.25,0.1,0.4,0.25,0.1) As these are
2003 Jul 14
2
Multipanel weighted regression lines.
Dear R-users, I am trying to create a multipanel scatter plot which displays weighted regression lines for each subgroup. I am having diffuculty figuring out how the Trellis multipanel plotting functions work, in general. Does someone know where there are some beginners examples on how to create and use panel.xxx functions in conjunction with the xyplot functions? Back to the matter at hand
2017 Dec 20
1
Nonlinear regression
You also need to reply-all so the mailing list stays in the loop. -- Sent from my phone. Please excuse my brevity. On December 19, 2017 4:00:29 PM PST, Timothy Axberg <axbergtimothy at gmail.com> wrote: >Sorry about that. Here is the code typed directly on the email. > >qe = (Qmax * Kl * ce) / (1 + Kl * ce) > >##The data >ce <- c(15.17, 42.15, 69.12, 237.7, 419.77)
2013 Jul 29
0
[LLVMdev] [Polly] Analysis of the expensive compile-time overhead of Polly Dependence pass
On 07/29/2013 09:15 AM, Sven Verdoolaege wrote: > On Mon, Jul 29, 2013 at 07:37:14AM -0700, Tobias Grosser wrote: >> On 07/29/2013 03:18 AM, Sven Verdoolaege wrote: >>> On Sun, Jul 28, 2013 at 04:42:25PM -0700, Tobias Grosser wrote: >>>> Sven: In terms of making the behaviour of isl easier to understand, >>>> it may make sense to fail/assert in case
2013 Jul 26
6
[LLVMdev] [Polly] Analysis of the expensive compile-time overhead of Polly Dependence pass
Hi Sebastian, Recently, I found the "Polly - Calculate dependences" pass would lead to significant compile-time overhead when compiling some loop-intensive source code. Tobias told me you found similar problem as follows: http://llvm.org/bugs/show_bug.cgi?id=14240 My evaluation shows that "Polly - Calculate dependences" pass consumes 96.4% of total compile-time overhead
2011 Aug 10
3
[LLVMdev] Handling of pointer difference in llvm-gcc and clang
Hi, We are developing a bounded model checker for C/C++ programs (http://baldur.iti.kit.edu/llbmc/) that operates on LLVM's intermediate representation. While checking a C++ program that uses STL containers we noticed that llvm-gcc and clang handle pointer differences in disagreeing ways. Consider the following C function: int f(int *p, int *q) { return q - p; } Here's the
2011 Apr 20
4
[LLVMdev] GEP vs IntToPtr/PtrToInt
I have a question about when we should apply these pointer aliasing rules. Do the rules tell us when a load/store is safe? "Any memory access must be done through a pointer value associated with an address range of the memory access, otherwise the behavior is undefined." So this means the conversion discussed here is still safe in terms of memory safety, but its meaning after conversion
2011 Aug 10
0
[LLVMdev] Handling of pointer difference in llvm-gcc and clang
Hi Stephan, > We are developing a bounded model checker for C/C++ programs > (http://baldur.iti.kit.edu/llbmc/) that operates on LLVM's intermediate > representation. While checking a C++ program that uses STL containers > we noticed that llvm-gcc and clang handle pointer differences in > disagreeing ways. > > Consider the following C function: > int f(int *p, int *q)
2011 Sep 21
3
Quelplot
Hi all, Does anyone have an R implementation of the queplot (K.?M. Goldberg and B.?Iglewicz. Bivariate extensions of the boxplot. Technometrics, 34(3):pp. 307?320, 1992)? I'm struggling with the estimation of the asymmetry parameters. Hadley -- Assistant Professor / Dobelman Family Junior Chair Department of Statistics / Rice University http://had.co.nz/
2012 Mar 16
2
how to speed up the inefficient code
hi, i'm really in trouble to simulate some experiment. that is, it takes too much time to process the following code. following is short example, ------------------------------------------------------------------------------------------------------- p<-data.frame(a=rnorm(10),b=rnorm(10),c=rnorm(10),d=rnorm(10)) test<-data.frame(a=rnorm(1),b=rnorm(1),c=rnorm(1),d=rnorm(1))
2008 Aug 24
1
Plotting multiple curves on a plot
Greetings! I was wondering how to plot multiple equation on the same plot with the data? So if I have three equations: 1.y= 2.31X + -2.2 2.y= 2.27X^2 + 5.63X + 0.52 3.y= -1.53X^3 + 1.92X^2 + -4.72X + 4.57 and a datafram or a 2D matrix. I would also like the equations in different colors, but that is extra! thanks in advance, Ben. -- View this message in context:
2011 Apr 05
0
[LLVMdev] GEP vs IntToPtr/PtrToInt
On Mon, Apr 4, 2011 at 7:10 AM, John Criswell <criswell at illinois.edu> wrote: > On 4/4/2011 6:45 PM, Eli Friedman wrote: >> >> On Mon, Apr 4, 2011 at 5:02 PM, Arushi Aggarwal<arushi987 at gmail.com> >>  wrote: >>> >>>> Hi, >>>> Is it correct to convert, >>>>   %196 = load i32* %195, align 8                
2011 Apr 20
2
[LLVMdev] GEP vs IntToPtr/PtrToInt
On Wed, Apr 20, 2011 at 12:20 PM, Eli Friedman <eli.friedman at gmail.com> wrote: > On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >> I have a question about when we should apply these pointer aliasing >> rules. Do the rules tell us when a load/store is safe? >> "Any memory access must be done through a pointer value
2006 Jul 19
1
fracdiff
Hi, I'm using the function fracdiff and can not figure out how to get the estimated values for sigma2 or confidence intervals for the parameter estimates. Does anyone know how to obtain these values? Thanks, Melissa
2011 Apr 20
0
[LLVMdev] GEP vs IntToPtr/PtrToInt
On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: > I have a question about when we should apply these pointer aliasing > rules. Do the rules tell us when a load/store is safe? > "Any memory access must be done through a pointer value associated > with an address range of the memory access, otherwise the behavior is > undefined." >
2011 Apr 20
0
[LLVMdev] GEP vs IntToPtr/PtrToInt
On 4/20/11 10:08 AM, Jianzhou Zhao wrote: > I have a question about when we should apply these pointer aliasing > rules. Do the rules tell us when a load/store is safe? > "Any memory access must be done through a pointer value associated > with an address range of the memory access, otherwise the behavior is > undefined." I don't think the pointer aliasing rules
2017 Dec 20
0
Nonlinear regression
Should I repost the question with reply-all? On Tue, Dec 19, 2017 at 6:13 PM, Jeff Newmiller <jdnewmil at dcn.davis.ca.us> wrote: > You also need to reply-all so the mailing list stays in the loop. > -- > Sent from my phone. Please excuse my brevity. > > On December 19, 2017 4:00:29 PM PST, Timothy Axberg < > axbergtimothy at gmail.com> wrote: > >Sorry about
2011 Apr 20
0
[LLVMdev] GEP vs IntToPtr/PtrToInt
On Wed, Apr 20, 2011 at 10:21 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: > On Wed, Apr 20, 2011 at 12:20 PM, Eli Friedman <eli.friedman at gmail.com> wrote: >> On Wed, Apr 20, 2011 at 8:08 AM, Jianzhou Zhao <jianzhou at seas.upenn.edu> wrote: >>> I have a question about when we should apply these pointer aliasing >>> rules. Do the rules tell
2011 Apr 04
2
[LLVMdev] GEP vs IntToPtr/PtrToInt
On 4/4/2011 6:45 PM, Eli Friedman wrote: > On Mon, Apr 4, 2011 at 5:02 PM, Arushi Aggarwal<arushi987 at gmail.com> wrote: >> >>> Hi, >>> Is it correct to convert, >>> %196 = load i32* %195, align 8 ;<i32> [#uses=1] >>> %197 = zext i32 %196 to i64 ;<i64> [#uses=1] >>> %198 =
2013 Nov 19
1
Generación de números aleatorios. Mixtura k-puntos
Saludo cordial para cada uno. Les pido ayuda para generar números aleatorios de una mixtura k-puntos. Sabemos que la función de distribución F es una mixtura k-puntos si es de la forma F(x) = p_1 F_1(x) + p_2 F_2(x) + … + p_k F_k(x), donde F_j es una función de distribución de probabilidad, p_j > 0 y suma(p_j) = 1, para j = 1, 2, …, k. En mi caso particular F es la suavización de la