similar to: Svm formula

Hi all, Sorry to be bothering again with probably an easy error to fix, but I've been trying to solve the problem and haven't been able yet to do it. So I'm doing this: > dados<-read.table("b.txt",sep="",nrows=30000) >

Hi all, I'm trying to plot an svm model and I'm the following error: > plot(model, data= dados[,-1], formula=formula(dados[,2]~dados[,3]),svSymbol = 1, dataSymbol = 2, symbolPalette = rainbow(4),color.palette = terrain.colors) Error in terms.default(x) : no terms component Anyone knows how to solve this??? Best regards, Pedro Marques

Hi. I'm trying to plot a pair of intertwined spirals and an svm that separates them. I'm having some trouble. Here's what I tried. > library(mlbench) > library(e1071) Loading required package: class > raw <- mlbench.spirals(200,2) > spiral <- data.frame(class=as.factor(raw$classes), x=raw$x[,1], y=raw$x[,2]) > m <- svm(class~., data=spiral) > plot(m,

Hi. I'm trying to plot a pair of intertwined spirals and an svm that separates them. I'm having some trouble. Here's what I tried. > library(mlbench) > library(e1071) Loading required package: class > raw <- mlbench.spirals(200,2) > spiral <- data.frame(class=as.factor(raw$classes), x=raw$x[,1], y=raw$x[,2]) > m <- svm(class~., data=spiral) > plot(m,

Dear list, In some places (for example, http://en.wikipedia.org/wiki/Support_vector_machine) , the polynomail kernel in SVM is written as (u'*v + 1)^d, while in the document of svm() in e1071 package, the polynomial kernel is written as (gamma*u'*v + coef0)^d. I am a little confused here: When doing parameter optimization (grid search or so) for polynomial kernel, does it need to tune

Hi, I would like to know if there is an algorithm in R for testing if a data set as a normal destribution. Thank you for your time, Pedro Marques

I thought about that star graph again, and realized that it would be quite a handy thing for visualizing cyclic data like time or compass direction. Here is a cleaned up (and renamed) version to do a polar plot that starts at the right and goes counterclockwise or a 24 hour clock plot that starts at the top and goes clockwise. There are probably other varieties that would be interesting. Jim

Dear R-users, As noted by Paul Murrell < p.murrell at auckland.ac.nz > there is errors in the code for polar plotting I send to R-help under the title "Polar plot, circular plot (angular data)" at Thu Oct 17 2002 - 12:18:20 CEST. Thanks! I have reorganized the code into a structure ('pp'). This allows plots to be modified to a greater extent by passing arguments by ...

Jonathan Lennox wrote: > +opus_int32 silk_noise_shape_quantizer_short_prediction_neon(const opus_int32 *buf32, const opus_int32 *coef32) > +{ > + int32x4_t coef0 = vld1q_s32(coef32); > + int32x4_t coef1 = vld1q_s32(coef32 + 4); > + int32x4_t coef2 = vld1q_s32(coef32 + 8); > + int32x4_t coef3 = vld1q_s32(coef32 + 12); > + > + int32x4_t a0 = vld1q_s32(buf32 -

> On Dec 19, 2015, at 10:07 PM, Timothy B. Terriberry <tterribe at xiph.org> wrote: > > Jonathan Lennox wrote: >> +opus_int32 silk_noise_shape_quantizer_short_prediction_neon(const opus_int32 *buf32, const opus_int32 *coef32) >> +{ >> + int32x4_t coef0 = vld1q_s32(coef32); >> + int32x4_t coef1 = vld1q_s32(coef32 + 4); >> + int32x4_t coef2 =

Dear R-users, Hereby a polar plot function for plotting angular data. I hope it will be usefull for some of you. I had a need to plot frequencies of wind-directions. The not-that-cheap SigmaPlot software did not allow me to change the orientation of the angular axis to clockwise orientation (what is used for meteorological observations). I even tried the latest version availible at the time

Hi all, I was just informed that the plots in the radial.plot family in the plotrix package do not plot correctly when using mfrow or mfcol to subdivide the plot window. I found one related message, an answer from Deepayan Sarkar to a question about lattice graphics, but that shed no light on this problem. If I invoke par(mfrow=c(2,2)) and run radial.plot a few times, the plots appears in

Hi, I just updated to R-2.1.1 and updated packages acordingly However, after the update, routines that use polar.plot did not function as correctly. In plotrix 1.3.3 the polar.plot function does scale label.pos to radians prior to calling radial.plot Hence, the command polar.plot(c(5,10,5,0),c(-10,0,10,20),rp.type='P',

--- silk/NSQ.c | 18 ++------------- silk/NSQ.h | 27 ++++++++++++++++++++++ silk/arm/NSQ_neon.c | 66 +++++++++++++++++++++++++++++++++++++++++++++++++++++ silk/arm/NSQ_neon.h | 10 ++++++++ 4 files changed, 105 insertions(+), 16 deletions(-) diff --git a/silk/NSQ.c b/silk/NSQ.c index d8513dc..ec81f3b 100644 --- a/silk/NSQ.c +++ b/silk/NSQ.c @@ -205,7 +205,7 @@ void

--- silk/NSQ.c | 18 ++------------- silk/NSQ.h | 27 ++++++++++++++++++++++ silk/arm/NSQ_neon.c | 66 +++++++++++++++++++++++++++++++++++++++++++++++++++++ silk/arm/NSQ_neon.h | 10 ++++++++ 4 files changed, 105 insertions(+), 16 deletions(-) diff --git a/silk/NSQ.c b/silk/NSQ.c index d8513dc..ec81f3b 100644 --- a/silk/NSQ.c +++ b/silk/NSQ.c @@ -205,7 +205,7 @@ void

I am trying to understand what is the difference between linear and polynomial kernel: linear: u'*v polynomial: (gamma*u'*v + coef0)^degree It would seem that polynomial kernel with gamma = 1; coef0 = 0 and degree = 1 should be identical to linear kernel, however it gives me significantly different results for very simple data set, with linear kernel

On Nov 23, 2015, at 12:04 PM, John Ridges <jridges at masque.com<mailto:jridges at masque.com>> wrote: Hi Jonathan. I really, really hate to bring this up this late in the game, but I just noticed that your NEON code doesn't use any of the "high" intrinsics for ARM64, e.g. instead of: int32x4_t coef1 = vmovl_s16(vget_high_s16(coef16)); you could use: int32x4_t coef1

Folks, I am having problems with a plot I want to create to give an impression of changes in an ordinal scale measure (1-5) at three time points (0, 14 and 21 days). I can produce a radial plot of bare vectors but getting this to appear on the base plot is not possible as it always seems to end up below the plot area and even outside the plot window. It seems I have not understood

Hi Jonathan. I really, really hate to bring this up this late in the game, but I just noticed that your NEON code doesn't use any of the "high" intrinsics for ARM64, e.g. instead of: int32x4_t coef1 = vmovl_s16(vget_high_s16(coef16)); you could use: int32x4_t coef1 = vmovl_high_s16(coef16); and instead of: int64x2_t b1 = vmlal_s32(b0, vget_high_s32(a0), vget_high_s32(coef0));

Hi all, I'm having this error, since I'm working with a data matrix I don't understand what's happening; I've tried several ways to solve this, even working with sparse matrix, but nothing seems to solve it, I've also tried svm (with a simple matrix 3*3 and still got the same error. > dados<-read.table("b.txt",sep="",nrows=30000) >