[R] R-help mailing list activity
Dear members, Not a technical question: The number of threads in this mailing list, following a long period of increase, has been regularly and strongly decreasing since 2010, passing from more than 40K threads to less than 11K threads last year. The trend is similar for most of the "ancient" mailing lists of the R-project. I cannot imagine the total number of R-related inquiries on the Internet decreased. It means that contributors have gone elsewhere. Indeed, in the meantime, the number of R posts on stackoverflow passed from 2K to 100K between 2009 and 2015. Thus my question: what are the specificities, the plus and minus of the R-project mailing lists, in comparison with other lists, and especially in comparison with stackoverflow? A lot of threads are duplicated on both lists, which seems to me a little bit counterproductive. I hope it is the wright place to ask this question. Thanks in advance, Jean-Luc Dupouey __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] .SavedPlots and replayPlot
I would like to redraw a plot from the .SavedPlots object (list), using R code (not arrows on the keyboard). windows(record=TRUE) x=runif(100) plot(x,col=blue) hist(x,col=red) plot(x,col=green) #When I try to replay any of the recorded plots (here, the second one), I get the following error message: .SavedPlots[2] Error in replayPlot(x) : loading snapshot from a different session But I am in the same session! A quick look at function replayPlot shows that it is because the plots recorded in .SavedPlot do not have any pid value, whereas they should have one, equal to the current session pid. Thus, assignation of the current session pid to the pid attribute of the recorded plots works: for (i in 1:.SavedPlots[[2]]) attr(.SavedPlots[[5]][[i]],pid)=Sys.getpid() #correctly gives the second plot: .SavedPlots[2] Is it the right way to replay a plot in an R script, using .SavedPlots? Is there a simpler or better way? I would prefer not to use recordPlot, which works, but requires an additional line of code and a new variable for each created plot: plot(x,col=blue) plot1=recordPlot() hist(x,col=red) plot2=recordPlot() plot(x,col=green) plot3=recordPlot() replayPlot(plot2) I use R version 3.1.2. Thanks in advance, Jean-Luc Dupouey -- INRA Forest Ecology and Ecophysiology Unit F-54280 Champenoux France __ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
[R] smooth.spline gives different results from sreg ?
Dear R-helpers,
I compared various programs for cubic spline smoothing, and it appeared
that smooth.spline ( stats version 3.0.1) seems to behave surprisingly.
For enough long series and low values of lambda (or spar), the results
of smooth.spline seem to be different from those of sreg ( package
fields version 6.8), Octave (=MATLAB) or SAS. These three last softwares
always gave the same results.
Here is a script which shows the problem:
#generate a random series of 2000 values
set.seed(1)
MyData=data.frame(Time=1:2000,Val=runif(1000))
#calculate the sreg cubic smoothing spline with a given lambda parameter
(0.006 here)
library(fields)
SplineFields=sreg(MyData$Time,MyData$Val,lambda=0.006)
#keep the minimim fitted value (or any other from a long list of
possible values)
ValMin=min(SplineFields$fitted.values)
TimeValMin=which.min(SplineFields$fitted.values)
#calculations of all possible fitted values at the TimeValMin point with
smooth.spline,
#varying the spar parameter in the range of all its possible values
SplineRValMin=sapply(seq(-0.5,2.5,0.1),
function(Ispar) {
SplineR=smooth.spline(MyData$Time,MyData$Val,spar=Ispar)
SplineR$y[TimeValMin]})
#None of the smooth.spline fitted values reach the one calculated with
sreg !
Lim=range(ValMin,SplineRValMin)
#smooth.spline values
plot(seq(-0.5,2.5,0.1),SplineRValMin,type=l,ylim=Lim)
#sreg value
abline(h=ValMin)
I hope there is no real problem here, but only some misunderstanding
from my side, because cubic splines are very often used. Best regards,
Jean-Luc Dupouey
--
INRA-Nancy University
Forest Ecology and Ecophysiology Unit
F-54280 Champenoux
mail:dupo...@nancy.inra.fr
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and provide commented, minimal, self-contained, reproducible code.
[R] precision warning in delaunayn function
Dear R helpers, I try to use the 'delaunayn' function in the 'geometry' package for Delaunay triangulation in 2 dimensions. For the four following points, I get a warning message : coord=matrix(ncol=2,byrow=TRUE,c(622633,7073452, + 621228,7073517, + 621879,7071762, + 621065,7073331)) library(geometry) test=delaunayn(coord,options=Qbb) qhull precision warning: The initial hull is narrow (cosine of min. angle is 0.). Is the input lower dimensional (e.g., on a plane in 3-d)? Qhull may produce a wide facet. Options 'QbB' (scale to unit box) or 'Qbb' (scale last coordinate) may remove this warning. Use 'Pp' to skip this warning. See 'Limitations' in qh-impre.htm. I read carefully qh-impre.htm and I still do not understand why I get this message. A simple call to plot(coord) shows that the points are not aligned, nor very close. What did I miss? Thanking you in advance, Jean-Luc Dupouey INRA-Lorrain University Forest Ecology Ecophysiology Unit F-54280 Champenoux France mail: dupo...@nancy.inra.fr __ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
