similar to: segfault isoreg with NAs

Full_Name: Benjamin Tyner Version: 2.6.0 (43063) OS: WinXP Submission from: (NULL) (171.161.224.10) At the end of the examples for isoreg, there is cat("R^2 =", formatC(sum(residuals(ir4)^2) / (9*var(y4)), digits=2),"\n") I think this should be cat("R^2 =", formatC(1 - sum(residuals(ir4)^2) / (9*var(y4)), digits=2),"\n" Thanks Ben platform

Full_Name: Petr Klasterecky Version: 1.8.1 OS: Windows XP, Linux Submission from: (NULL) (195.113.27.212) The isoreg() function causes R to crash when called repeatedly. Consider the following simple script: { library(modreg) N <- 10 x <- rnorm(N) print("Original x values:") print(x) for(n in (1:N)){print(y <- isoreg(x[1:n])$yf)} } I am able to run (call) it several

I believe there is a memory leak in isoreg in the current version of R, as I believe the following shows > gc() used (Mb) gc trigger (Mb) max used (Mb) Ncells 120405 3.3 350000 9.4 350000 9.4 Vcells 78639 0.6 786432 6.0 392463 3.0 > for(k in 1:100) { + + y <- runif(10000) + isoreg(x,y) + } > rm(x) > rm(y) > gc() used (Mb) gc

Hello, If I want to see how, say, apply function is written, how would I be able to do that? Just typing "apply" at the prompt does not work. Thank you for help! Sergey

Before re-inventing the wheel I would like to ask: does anyone know about an optimizer in R which can reliably identify which value of X (Xopt) leads to Y (Yopt) closest to Ytarget in Y <- MonotoneStepFun(X) optionally with the restriction that Yopt <= Ytarget (at least if any Y <= Ytarget, otherwise any Yopt > Ytarget would be the preferred answer) If none is known, I will write

Using > methods("plot") [1] plot.Date* plot.HoltWinters* plot.POSIXct* [4] plot.POSIXlt* plot.TukeyHSD plot.acf* [7] plot.data.frame* plot.decomposed.ts* plot.default [10] plot.dendrogram* plot.density plot.ecdf [13] plot.factor* plot.formula* plot.hclust* [16] plot.histogram* plot.isoreg* plot.lm [19] plot.medpolish*

Today's R-devel has a problem in `example(medpolish)'. It appears that the `plot.medpolish' method is not available. Here is the output and traceback() after starting `R --vanilla': > library(eda) > example(medpolish) mdplsh> deaths <- rbind(c(14, 15, 14), c(7, 4, 7), c(8, 2, 10), c(15, 9, 10), c(0, 2, 0)) mdplsh> dimnames(deaths) <-

Dear R-devel, I am trying to alter rpart so that it makes additional calculations when growing the tree. In the "rpart.s" there is a call to the C routine: rp <- .C("s_to_rp2", as.integer(nobs), as.integer(nsplit), as.integer(nodes), as.integer(ncat),

Dear All, I need some help arranging data that was imported. The imported data frame looks something like this (the actual file is huge, so this is example data) DF: IDKey X1 Y1 X2 Y2 X3 Y3 X4 Y4 Name1 21 15 25 10 Name2 15 18 35 24 27 45 Name3 17 21 30 22 15 40 32 55 I would like to create a new data frame with the following NewDF: IDKey X Y Name1 21 15 Name1

Hi, I am reading the source code of rpart. I have problems understand the following code and would appreciate for any helps. In rpart.s, there is a line: rpfit &lt;- .C(C_s_to_rp, &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; n = as.integer(nobs), &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp; nvarx

On Sat, 15 Jul 2017, Michael Reed via R-help wrote: > Dear All, > > I need some help arranging data that was imported. It would be helpful if you were to use dput to give us the sample data since you say you have already imported it. > The imported data frame looks something like this (the actual file is > huge, so this is example data) > > DF: > IDKey X1 Y1 X2 Y2

I have a matrix for which each row has 12 elements that represent the xyz coordinates of 4 points. So each row of M is (x1,y1,z1,x2,y2,z2,x3,y3,z3,x4,y4,z4). Some points have NA as z values. I want another matrix to be the same as M but with the coordinates of those points with z=NA placed last. For ezample if z1=NA then the new matrix row should be (x2,y2,z2,x3,y3,z3,x4,y4,z4,x1,y1,z1)

Hi Carlos, Jakob, The PBQP allocator was designed to support a very wide range of constraints, and can handle something like this easily. Say you have 4 of these orX/irX registers, then for any pair of virtual registers used in such an add instruction you would add the following constraint matrix to the PBQP instance: [ 0 inf inf inf ] [ inf 0 inf inf ] [ inf inf 0 inf ] [ inf inf inf 0

I require some help in debugging this code  library(neuralnet) ir<-read.table(file="iris_data.txt",header=TRUE,row.names=NULL) ir1 <- data.frame(ir[1:100,2:6]) ir2 <- data.frame(ifelse(ir1$Species=="setosa",1,ifelse(ir1$Species=="versicolor",0,""))) colnames(ir2)<-("Output") ir3 <- data.frame(rbind(ir1[1:4],ir2))

Dear list, I have problem that I cannot solve and would like to ask your opinion. I tried to ask a few days ago already but got no answer and all my attempts to solve it by myself since then failed. Sorry for repeated posting! Here the problem broken down a bit. My problem basically is, that I want to use the elements of a character vector as names for objects and by recalling only the

Hello, I tried to compile v2.3.1 on Solaris x86 with SUN Pro compilers. I had an error while stats libarary was being compiled and I notice that "-xtarget=generic64" was not passed to f95 while cc used it. Could you tell me how to fix this problem? f95 -PIC -O -I/mounts/devel/SUNWspro/prod/include -c sgram.f -o sgram.o f95 -PIC -O -I/mounts/devel/SUNWspro/prod/include -c

Dear R-help community, I have had trouble in the past installing the latest version of R: we got the errors shown below (the computer specifications and version of R are below that). Does anybody have tips for compiling the latest version of R so that I can avoid these errors? configure make ... ... ... f90: CODE: 0 WORDS, DATA: 0 WORDS gcc -G -L/usr/local/lib -o stats.so init.o kmeans.o

Hi! How to find out which plot function is used when i call plot(hist.default(1:10,plot=F)) and all works fine ? The reason why I would like to know it is that after loading some self written R functions > plot(hist.default(1:10,plot=F)) Error in xy.coords(x, y, xlabel, ylabel, log) : x and y lengths differ > traceback() 5: stop("x and y lengths differ") 4: xy.coords(x, y,

I wish to rearrange the matrix, df, such that all there are not repeated x values. Particularly, for each value of x that is reated, the corresponded y value should fall under the appropriate column. For example, the x value 3 appears 4 times under the different columns of y, i.e. y1,y2,y3,y4. The output should be such that for the lone value of 3 selected for x, the corresponding row entries

Hello all! I want to estimate parameters in a MIMIC model. I have one latent variable (ksi), four reflexive indicators (y1, y2, y3 and y4) and four formative indicators (x1, x2, x3, x4). Is there a way to do it in R? I know there is the SEM library, but it seems not to be possible to specify formative indicators, that is, observed exogenous variables which causes the latent variable. Thanks,