search for: linearised

Given a large data.frame, a function trains a series of models by looping over two steps: 1. Create a model-specific subset of the complete training data 2. Train a model on the subset data The function returns a list of trained models which are later used for prediction on test data. Due to how models and closures work in R, each model contains a lot of data that is not necessary for

...one, I am trying to fit a sine function on one year of wind data. I have two questions below. Looking around on the net I managed to get the following: Sine Equation: y = a + b * sin( c + d*x ) b is the amplitude, c is the phase shift, d is something deal with periodicty of data*.* This can be linearised by sin( c+dx ) = cos(c) * sin(dx) + sin(c) * cos(dx). If one calls dx = x1 y = a + b * sin( c + d*x ) y = a + b * [cos(c) * sin(x1) + sin(c) * cos(x1)] y = a + b * cos(c) * sin(x1) + b * sin(c) * cos(x1) y = a + b1 * sin(x1) + b2 * cos(x1) where b1 = b * cos(c) and b2 = b * sin(c) This...

Hi dear R-helpers, Happy new year. I have estimated Gini index variance in the case of complex survey (stratify and with two stage sampling). I use the survey package. I use replication (bootstrap, and Jacknife) and linearisation according to Binder (1993) article David A. Binder and Milorad Kovaˇcevi´c(1993), « Estimating some measures of income inequality from survey data : An

Dear all, I sent an email on Friday asking about nlrq {quantreg}, but I haven't received any answer. I need to estimate the quantile regression estimators of a model as: y = exp(b0+x'b1+u). The model is nonlinear in parameters, although I can linearise it by using log.When I write: fitnl <- nlrq(y ~ exp(x), tau=0.5) I have the following error: Error in match.call(func, call = cll) :

...t datasets (by linear regression, after logarithmic transformation) and then I plot n vs k. What I get is a decay pattern of n as k increases. QUESTION 1: Is some theoretical reason for this kind of relation. Is it expected? Is it "normal" that model parameters (intercept and slope in the linearised form) should be correlated? QUESTION 2: Is it theoretically sound to compare the magnitude of constants, k, that correspond to different exponents, n? (k has dimensions of [time]^-n so we are comparing quantities with different physical interpretation). Practically speaking, does k=0.2 with an expo...

On 14 October 2013 18:15, Nadav Rotem <nrotem at apple.com> wrote: > 1. We have 4 stores to consecutive locations, but the last element is the > constant zero, and not an additional SUB. At the moment we don’t have > support for idempotence operations, but this is something that we should > add. > The fourth write is not necessary for GCC to vectorize it (nor was in the

...ication Servive/HOST.FQDN >> Microsoft Hyper-V Live Migration Service/HOST.FQDN. >> >> This fails because of the spaces, that is samba being on linux, not seeing escape characters, messes up the request it up and just fails with registering. > It is more about how we handle the linearised SPN in the directory, but > yes, escaping sounds like a key here. > >> Im hyper-v log you should see errors with failure to register spn. >> Without SPN there might be some authentication failures e.g. With live migration kerberos based replication and probably console. As worka...

Hi: I have usually used the GROWTH() excel function to do this but now want to see if I can do this with R. I want to predict values into the future, possibly with the predict.arima Function. I have the following weekly fish weight averages: weight <- c("2.1","2.4","2.8","3.6","4.1","5.2","6.3") week <-

Dear all Please, can you advice me how to compute an error, standard deviation or another measure of variability of computed value. I would like to do something like: var(y) = some.function(var(x1),var(x2),var(x3)) for level F1 (2,3,...) Let say I have some variables - x1, x2, x3 (two computed for levels of factor F and one which is same for all levels) and I want to compute y =

I have a suspicion that it is related to the specific SPNs that hyperv uses. Hyper-v tries to register 3 spn (typing from memory so I might be a bit off): Microsoft hyper-v console/HOST.FQDN Hyper-V Replication Servive/HOST.FQDN Microsoft Hyper-V Live Migration Service/HOST.FQDN. This fails because of the spaces, that is samba being on linux, not seeing escape characters, messes up the request it

This is almost ideal for SLP vectorization, except for two problems: 1. We have 4 stores to consecutive locations, but the last element is the constant zero, and not an additional SUB. At the moment we don’t have support for idempotence operations, but this is something that we should add. 2. The values that we are subtracting come from 3 loads. We usually load 4 elements from memory, or

...t; Hyper-V Replication Servive/HOST.FQDN > Microsoft Hyper-V Live Migration Service/HOST.FQDN. > > This fails because of the spaces, that is samba being on linux, not seeing escape characters, messes up the request it up and just fails with registering. It is more about how we handle the linearised SPN in the directory, but yes, escaping sounds like a key here. > Im hyper-v log you should see errors with failure to register spn. > Without SPN there might be some authentication failures e.g. With live migration kerberos based replication and probably console. As workaround You can try...

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Hi, I am trying to fit a model with an ordered response variable (3 levels) and 13 predictor variables. The sample has complex survey design and I've used 'svydesign' command from the survey package to specify the sampling design. After reading the manual of 'svyglm' command, I've found that you can fit a logistic regression (binary response variable) by specifying the

I just discovered the great piece of software that is available with the survey package. Many thanks and 'Hats off' to Thomas Lumley. While package survey covers analysis of features of objects sampled (in clusters, strata) I could not find analysis of features of repeated relationsships between sampled objects (in clusters, strata). My understanding is that it is not adequate to treat

...velopment between machines which can't see a common filesystem. Currently I do all this using git (with the external feed from git-svn) and then create "considered" patches against svn once I've figured stuff out. Now none of this has any effect on the "proper world-viewable linearised-history source repository". What's nice about git (and I suppose hg, although I've not used that as intensively) is that both these internal activities and the longer-term, externally visible pieces of development is that they're done with the same tools and in the same personal re...

On 09/11/2012 03:38 PM, Hal Finkel wrote: > This is a general problem that also affects, for example, Preston's > dependence-analysis work. How have you thought about dealing with this? Hi Hal, you are right. Preston's dependence-analysis and Polly are sharing the same problem. As far as I know, non of us implemented a solution yet. Preston, what is your status on multi-dim arrays?

Dear all, I have a serious problem to solve my model. I study over exploitation of fish in the bay of biscay (france). I know only the level of catch and the fishing effort (see data below) by year. My model is composed by the following equations: * the growth function Gt(St) = r*St*(1-St/sbar) with Gt the growth of each period t r intrinsec growth of the stock sbar carriyng capacity of the

Hello Yes, I agree that the SCEV cannot be simplified. Is my understanding correct that it is passed to a function like "isKnownNegative"? Which could still be able to prove is always true. The delinearisation may be valid, depending on exactly how you define delinearisation (under what conditions it should be giving results). It would be invalid for DA to return a dependency of [0

The thing about this is that git-svn (un?)fortunately works so well that you can get all of these benefits with the main repo still in SVN. Hence, it is really a moot point regarding a switch to git for the main repo. E.g.: > Actually that's true today with svn. We have a ton of changes here we'd > like to submit but the process is really painful. Is there any difference from the