similar to: Threshold vector error correction models

Dear list I would like to be able to group terms in a formula using a function that I will call tvar(), eg. the formula Y ~ 1 + tvar(x:A) + tvar(z) + u + tvar(B) + tvar(poly(v,3)) where x,u and v are numeric and A and B are factors - binary, say. As output, I want the model.matrix as if tvar had not been there at all. In addition, I would like to have information on the grouping, as a vector

Hi R users, How can I automatically export results and graphs to a file? Thanks in advance Pedro Mota Veiga -- View this message in context: http://r.789695.n4.nabble.com/Export-Results-tp2268622p2268622.html Sent from the R help mailing list archive at Nabble.com.

Hallo Tk experts, the Tcl/Tk package allows to define very nice widgets for starting R functions, for printing results and for interactive parameter input. tkdensity.R and tkttest.R demonstrate this and both demos explain how some of the tk functions can be used. For constructing new widgets I would like to see further examples showing Tcl/Tk package in action. Therefore my question: Is there a

Hello Everybody, I'm trying to plot(x,y) using different colors. I have to cut (x,y) into sub intervals. And I want to plot this sub intervals using colors. But infortunally I don't know how to do this with R. Can any body help me please? My code is looking like : x<-c(tvar[1:t0],tvar[t0:(ts)],tvar[ts:n]) F<-c(var[1:t0],var[t0:(ts)],var[ts:n]) plot(x,F,xlab="Zeit

Dear R user, I have written a function which returns max,min and variation of a power (see below) Power is a given matrix(1,n) I call the function >Variation<-VAR(p,(n-deltat)) Now the problem is when I want plot(Results[1],Results[2]). Not possible! I become the following error (in english it means: Error in as.double.default(x) :Object cannot be transformed in double) >

Dear R users, I have a problem since I try to plot my datas with different colors. plot(tvar, var, xlab="zeit [s]",ylab="Variation [%]", col = ifelse(var <= varstability, 'green','red')) this works well! But since I add a type="l" to my plot, it will color all the plot with green!!! Is there any solution? I avoid to use teachingDemos. Thanks. --

Hi Paul, Sounds like you have your answer, but for fun I thought I'd try solving your problem using only a regular expression query and base R. I believe this works: > txt <- "Patient had stage IV breast cancer. Nothing matches this sentence. Metastatic and breast match this sentence. French bike champion takes stage IV victory in Tour de France." > pattern <-

Hello All, I need some help figuring out how to extract combinations of target words/terms from cancer patient text medical records. I've provided some sample data and code below to illustrate what I'm trying to do. At the moment, I'm trying to extract sentences that contain the word "breast" plus either "metastatic" or "stage IV". It's been some

Hi Bert, Thanks for your reply. It appears that I didn't replace the variable name "sampletxt" with the argument "x" in my function. I've corrected that and now my code seems to be working fine. Paul ________________________________ From: Bert Gunter <bgunter.4567 at gmail.com> Cc: R-help <r-help at r-project.org> Sent: Tuesday, July 11, 2017 2:00 PM

Hello, I am trying to test for non-linearity in a set of non-parametric data. Furthermore, I would like to do so in a multi-variate model. Frankly, I don't even know if this is possible, and if it is possible, I don't know if it is implemented in an R package. Any advice would greatly appreciated. Thank you! Charlie -- ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Charles G.

Hi Robert, Thank you for your reply. An attempt to solve this via a regular expression query is particularly helpful. Unfortunately, I don't have much time to play around with this just now. Ultimately though, I think I would like to implement a solution something along the lines of what you have done. I have a book on regular expressions that I am now starting to read. In the meantime, the

Have you looked at the CRAN Natural Language Processing Task View? If not, why not? If so, why were the resources described there inadequate? Bert On Jul 11, 2017 10:49 AM, "Paul Miller via R-help" <r-help at r-project.org> wrote: > Hello All, > > I need some help figuring out how to extract combinations of target > words/terms from cancer patient text medical

Dear R users, I'm trying to write a function which returns minimum,maximum,mean of a vector(power) I've done the following : VAR<-function(power,length){ for(i in tml:length)){ tvar[i]<-i pmean[i]<-mean(power[i:i+deltat]) pmin[i]<-min(power[i:i+deltat]) pmax[i]<-max(power[i:i+deltat]) varmax[i]<-100*(pmax[i]-pmean[i])/pmean[i]

Hi, I would like to estimate a quadratic almost ideal demand system in R which is estimated usually by nonlinear seemingly unrelated regression. But there is no such function in R yet but it is readily available in STATA (nlsur), see B. Poi (2008): Demand-system estimation: Update, Stata Journal 8(4). Now I am thinking, what is quicker learning to "program" STATA which seems not really

Hi All, I'm new to R and am trying to run a unit root test on the vector "y" (a time series of inflation (i.e. changes in the Consumer Price Index quarter on quarter)). I've run the Augmented-Dickey-Fuller Test below (R's URCA package). It gives me an error that it cannot find the function ur.df unless I comment out the third last line of code (see below). I try to call

Dear R users. Does anyone know a package where the non-parametric rank test from Corrado (A nonparametric test for abnormal security-price performance in event studies, Charles J. Corrado, 1989, Journal of Financial Economics) for event studies is implemented? Sincerely Andreas. __________________________________________________ Do You Yahoo!? hutz gegen Massenmails. http://mail.yahoo.com

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Dear R Core Team, I am using package {urca} to do cointegration and estimate ECM model, but I have the following two problems: (1) I use ca.jo() to do cointegration first and can get the cointegration rank, alpha and beta. The next step is to test some restrictions on beta with blrtest(),bh5lrtest(), and bh6lrtest(). But none of them can add restrictions on all the cointegration

Dear R - helpers, I am using the urca package to estimate cointegration relations, and I would be really grateful if somebody could help me with this questions: After estimating the unrestriced VAR with "ca.jo" I would like to impose the rank restriction (for example rank = 1) and then obtain the restricted estimate of PI to be utilized to estimate the VECM model. Is it possible? It

Hi Version 0.7 of package tsDyn presented at useR! 2009 is now on CRAN, extended with several new features. The package tsDyn is aimed at estimating nonlinear time series models which exhibit regime specific properties. The regime switching dynamics can either be described by smooth transition (STAR and LSTAR) or threshold effects (SETAR). The package furthermore offers nonlinear models