similar to: Curve Fitting/Regression with Multiple Observations

Hello, I come from a non statistics background, but R is available to me, and I needed to test an implementation of smoothing spline that I have written in c++, so I would like to match the results with R (for my unit tests) I am following http://www.nabble.com/file/p25569553/SPLINES.PDF SPLINES.PDF where we have a list of points (xi, yi), the yi points are random such that: y_i = f(x_i) +

Hi I have a set of data like this: *Time of Day* *Pct of Daily Volume* 9:45 7.50% 10 6.25% 10:15 4.45% 10:30 4.80% 10:45 4.45% 11:00 4.20% 11:15 2.50% 11:30 2.30% 11:45 2.25% 12:00 2.45% 12:15 2.60% 12:30 2.00% 12:45 2.05% 13:00 2.40% 13:15 1.90% 13:30 3.10% 13:45 2.90% 14:00 2.80% 14:15 2.50% 14:30 3.40% 14:45 4.40% 15:00 5.40% 15:15 4.00% 15:30 4.70% 15:45 6.20% 16:00 8.50% I want to fit

Thank you. Alexei just committed the change to SVN. Regards, Marco Leogrande Sent by a carbon-based life form; hence, it may contain repetitions, inaccuracies, logical fallacies and repetitions. On Wed, Jun 17, 2015 at 2:52 PM, Galina Kistanova <gkistanova at gmail.com> wrote: > LGTM. > Please commit. > > Thanks > > Galina > > On Tue, Jun 16, 2015 at 8:32 PM,

Galina, thanks again for your help. I have cooked a new patch that should make a bit more sense. I have added the new builder under _get_experimental_scheduled_builders(), as the comment above that function suggested me it would be a good idea. :) Does it look a reasonable start? Regards, Marco Leogrande Sent by a carbon-based life form; hence, it may contain repetitions, inaccuracies,

Dear all, I am making a barplot as following: barplot(c(1,2,3,5,2,3,1),names.arg=c("100","200","300","400","500","600","700"),xlab="diameter",ylab="flow",main="some title",space=0.1) I am also trying to add a probability density curve, however using lines(density(c(1,2,3,5,2,3,1))) does not give

Hi there! I can't find any information about creating combinations with repetitions in R. The function combn() does create combinations, but _without_ repetitions. Here is what I need to do: svIter <- 1000 xx <- matrix(rnorm(m*n), c(m, n)) sequence <- seq(range(xx)[1], range(xx)[2], length.out = svIter^(1/q)) expand.grid(secuence, secuence, .../q times/..., secuence) That is,

Dear all, I have the problem as the title shows. It is time series of measurements. I want to estimate the value at time point when we have no actual measured value (Only in the time range, not for prediction in future time). Hope you could give me some suggestion or hint. Thank you so much. Wang Zhipeng [[alternative HTML version deleted]]

Hi there, I'm writing a function that calculates the probability of different outcomes of dice rolls (e.g., the sum of the highest three rolls of five six-sided dice). I'm using the "combinations" function from the "gtools" package, which is great: it gives me a matrix with all of the possible combinations (with repetitions allowed). Now I want to count the number

I would like to draw smooth curves instead of polygons. I could not find any spline function to do that : given an x and a y vectors, they all take the x in increasing order. Is there a function to draw a smooth curve through a set of points in any order ? with many thanks in advance Alain Guerreau CNRS Paris [[alternate HTML version deleted]]

Hello Marco, Welcome aboard! slaves.py keeps the build slaves definitions, builders.py keeps the builders definitions. You have to have both. The steps of adding a new slave is here: http://llvm.org/docs/HowToAddABuilder.html. Please make sure you done the step # 10 before bringing your slave up, otherwise it wouldn't be authorized by the master and will be blacklisted after multiple

In a lattice 11x11 with 6 repetitions, we want to compare lines to their two parents. 3 of the 6 repetitions are sprinkled and the 3 others not. There are 5 factors : hm (hydrous mode), variety, block, rep and grandrep. grandrep gathers two repetition, a sprinkled and a not (as in Split Plot !). I use lme but I have problems in random. Can someone help me ? Ibnou DIENG

Hi everyone, I am working with Alexei Starovoitov to contribute an LLVM buildbot for the experimental BPF backend. I am following the steps at [1] to setup a buildbot and I was mostly successful: I was able to setup a slave and a temporary master to check its base config. Now I'm not sure about the next step: patching the "slaves.py" and "builders.py" files in zorg. * Is

Suppose I have two var x and y,now I want to fits a natural cubic spline in x to y,at the same time create new var containing the smoothed values of y. How can I get it?

Hello How can I apply functions along "layers" of a data matrix? Example: daf <- data.frame( 'id' = rep(1:5, 3), matrix(1:60, nrow=15, dimnames=list( NULL, paste('v', 1:4, sep='') )), rep = rep(1:3, each=5) ) The data frame "daf" contains 3 repetitions/layers (rep) of 4 variables of 5 persons (id). For some reason, I want to calculate

Hi, This has been asked before but not sufficiently answered from what I could find. How do you create combinations with repetitions (multisets) in R? If I have > set <- array(1:3) And I want to choose all combinations of picking 2 numbers, I want to get a print out like [,1] [,2] [1,] 1 1 [2,] 1 2 [3,] 1 3 [4,] 2 2 [5,] 2 3 [6,] 3 3 subsets(set,

I'm trying to use R to determine the quality of a cubic Bezier curve approximation of an elliptical arc. I know the four control points and I want to compute (x,y) coordinates of many points on the curve. I can't find anything in either the base distribution or CRAN that does this; all the spline-related packages seem to be about *fitting* piecewise Bezier curves to a data set.

Dear R-Users, I need to find a smooth function f() and coefficients a_i that give the best fit to y ~ a_0 + a_1*f(x_1) + a_2*f(x_2) Note that it is the same non-linear transformation f() that is applied to both x_1 and x_2. So my first question is how can I do it in R? A more general question is this: suppose I have a utility function U(a_i, f()), where f() is say a spline. Is there a general

Hello, I come from a non statistics background, but R is available to me, and I needed to test an implementation of smoothing spline that I have written in c++, so I would like to match the results with R (for my unit tests). I am following Smoothing Splines, D.G. Pollock (available online) where we have a list of points (xi, yi), the yi points are random such that: y_i = f(x_i) + e_i

On Wed, Aug 3, 2016, at 19:26, James Aylett wrote: > On Wed, Aug 03, 2016 at 06:54:32PM +0200, rsto at paranoia.at wrote: > > Oddly enough, the pull request causes Travis to break for clang but not > > for gcc [1]. That's because the clang build process fails for the test > > 'querypairwise1' [2], which AFAIK I didn't touch at all. Is that a > > known

I have installed ninja and retriggered that build. I will monitor the results to confirm it succeeds. Regards, Marco Leogrande Sent by a carbon-based life form; hence, it may contain repetitions, inaccuracies, logical fallacies and repetitions. On Mon, Oct 31, 2016 at 3:17 PM, Renato Golin <renato.golin at linaro.org> wrote: > On 31 October 2016 at 19:46, Galina Kistanova