similar to: par(ask=T) in termplot() (PR#711)

Hi, I think it would be nice to have par(ask=T) set by default in termplot(), like it is in plot.lm(). Best, Emmanuel Paradis -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !)

I'd like to make the following change to termplot(): Add panel=points as an extra parameter. Replace if (partial.resid) points(xx, pres[, i], cex = cex, pch = pch, col = col.res, ...) by if (partial.resid) panel(xx, pres[, i], cex = cex, pch = pch, col = col.res, ...) Also, I think, add col.smooth, span and iter as named parameters; see below.

many thanks to P. Dalgaard, J. Fox, J. Lemon, JE. Paradis and J. Polzehl for their quick replies. The original posting is at the end of this summary. I've not well explained myself but I don't wanted to use par(mfrow) or par(mfcol) because I wanted to plot very different graphics and this solution doesn't match my needs. E. Paradis and P. Dalgaard made me discover a new (for me!)

Hello, Can anyone help me out with this problem? After performing logistic regressions and testing the significance with likelihood ratios, I have plotted the results using "termplot". I am wondering, how to get the names of my variables to appear on the x-axis rather than ascending numbers? I have used: termplot(fm, se=T, axes=FALSE, col.se="black") axis(1, 1:4,

On Thu, 18 Mar 2004 k.hansen@biostat.ku.dk wrote: > The bug exists on R-1.9.0-alpha compiled the 10/3. > > Termplot has a problem if either the model only contains a single term > or if asked to plot a single term. In addition there are problems with > the option se = TRUE. I can't reproduce this in either R-devel or 1.8.1, and termplot hasn't changed since January. I do

Hi, Is this a bug in termplot, or (once again) do I just not understand what R is really doing? I am using termplot to contruct partial residual plots, 1. For all terms at once 2. One term at a time but I get different results from these two methods. To give a concrete example, I would have thought the top and bottom rows of the plot constructed with the following code would be identical.

From ?termplot: col.se, lty.se, lwd.se: color, line type and line width for the ?twice-standard-error curve? when ?se = TRUE?. ...which is findable, but might usefully also be made explicit in the definition of the se= argument. -pd > On 10 Jan 2018, at 23:27 , Eric Goodwin <Eric.Goodwin at cawthron.org.nz> wrote: > > Thanks for your prompt reply Duncan. > >

Thanks for your prompt reply Duncan. I had indeed assumed they were what the help file says until observation raised doubts, which is why I queried it. >From reading the code for termplot(), it seems that either the predict() function doesn't return the 1x standard error, or the curves plotted by the termplot() function are not 1x standard errors. If they're not 1x standard errors,

I have a suggested addition to termplot. We have a local mod that is used whenever none of the termplot options is quite right. It is used here almost daily for Cox models in order to put the y axis on a risk scale: ---- fit <- coxph(Surv(time, status) ~ ph.ecog + pspline(age), data=lung) zz <- termplot(fit, se=TRUE, plot=FALSE) yy <- zz$age$y + outer(zz$age$se, c(0, -2, 2),

Hi all I was playing with termplot(), and came across what appears to be an inconsistency. It would appreciate if someone could enlighten me: > # First, generate some data: > y <- rnorm(100) > x <- runif(length(y),1,2) > # Now find the log of x: > logx <- log(x) > > # Now fit two models that are exactly the same, but specified differently: > m1 <-

I'm making some functions to illustrate regressions and I have been staring at termplot and predict.lm and residuals.lm to see how this is done. I've wondered who wrote predict.lm originally, because I think it is very clever. I got interested because termplot doesn't work with interactive models: > m1 <- lm(y ~ x1*x2) > termplot(m1) Error in `[.data.frame`(mf, , i) :

Hi together, I always get an error message with using ylim in termplot(), like this: > x<-(1:10) > y<-(10:1) > l<-lm(y~x) > termplot(l,ylim=c(1,2)) Is this a bug, or is there another possibility to do that? Especially, I would like to use term.plot() for gamlss objects. Thanks for your help! Andreas -- Echte DSL-Flatrate dauerhaft f?r 0,- Euro*!

I have used glm and stepAIC to choose a best model. I can use termplot to assess the contribution of each explanatory variable in the glm. However the final model after running stepAIC includes interaction terms, and when I do termplot I get "Error in `[.data.frame`(mf, , i) : undefined columns selected". I also see the termplot detail saying "Nothing sensible happens for

Hello, A reviewer queried what the intervals were on the termplot I provided in a report. The help file for termplot() suggests they're standard errors (se=T), but in the code the se.fit values from predict() are multiplied by 2, suggesting it's a rough 95% confidence interval, is that right? Many thanks, Eric Goodwin Scientific data analyst | Coastal and Freshwater Group Cawthron

Hi all, I noticed some very odd behaviour in the termplot function of the stats package due to the following lines : 18. if (is.null(data)) 19. data <- eval(model$call$data, envir) This one will look in the global environment, and renders the two lines after this 20. if (is.null(data)) 21. data <- mf completely obsolete. If nothing is found, an error is returned. If

Does anyone have, or has anyone ever considered making, a version of 'termplot' that allows the user to specify that all plots should have the same y-limits? This seems a natural thing to ask for, as the plots share a y-scale. If you don't have the same y-axes you can easily misread the comparative contributions of the different components. Notes: the current version of termplot

Does anyone have, or has anyone ever considered making, a version of 'termplot' that allows the user to specify that all plots should have the same y-limits? This seems a natural thing to ask for, as the plots share a y-scale. If you don't have the same y-axes you can easily misread the comparative contributions of the different components. Notes: the current version of termplot

I am running R 1.2.1 under Windows 98SE. termplot() currently fails when there are composite terms, thus: > library(mass) > data(hills) > hills.lm <- lm(time ~ climb + poly(dist, 2), data = hills) > termplot(hills.lm) Hit <Return> to see next plot: Error in eval(expr, envir, enclos) : Object "dist" not found The call >

The bug exists on R-1.9.0-alpha compiled the 10/3. Termplot has a problem if either the model only contains a single term or if asked to plot a single term. In addition there are problems with the option se = TRUE. Analysis: termplot starts with terms <- if (is.null(terms)) predict(model, type = "terms", se = se) else predict(model, type = "terms", se = se,

Hi, Figure 13 of Emmanuel Paradis's "R for Beginners" was produced by termplot working on an aov object. The lower right-hand plot is labelled "Cook's distance plot", and I'd really like to produce a similar type of figure, but in a totally different context. (I'm not even sure what this kind of figure is called, perhaps an "impulse plot", where