similar to: Problem with expand.grid() function

>cbn<-as.matrix(expand.grid( rep( list(0:1), 50))) Error in rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) : invalid 'times' value In addition: Warning message: In rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) : NAs introduced by coercion But I'm only interested in cbn matrix rows where: cbn<- cbn[rowSums(cbn)==5,] Is there a way to evaluate it

Hi I have the feeling, that the argument stringsAsFactors has no impact in the function expand.grid: a <- c("PR", "NC", "A2", "BS") b <- c(1, 0.5, 0.25, 0.125, 0.0625, 0.03125) class(expand.grid(css, fscs, stringsAsFactors=FALSE)[[1]]) [1] "factor" class(expand.grid(css, fscs, stringsAsFactors=TRUE)[[1]]) [1] "factor" Also, when

Hi all, I want to make all possible combination from dataset below: V1 <- c(0,1,2) V2 <- c(0,1) V3 <- c(0,1) V4 <- c(0,1) V5 <- c(0,1) V6 <- c(0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20) V7 <- c(0,1,2,3,4,5,6) V8 <- c(0,1) V9 <- c(0,1) V10 <- c(0,1) V11 <- c(0,1) V12 <- c(0,1) V13 <- c(0,1) V14

> On Jul 13, 2017, at 10:43 AM, Bert Gunter <bgunter.4567 at gmail.com> wrote: > > poly(NIR, degree = 2) will work if NIR is a matrix, not a data.frame. > The degree argument apparently *must* be explicitly named if NIR is > not a numeric vector. AFAICS, this is unclear or unstated in ?poly. I still get the same error with: library(pld) data(gasoline) gasTrain <-

in a long program, I ran into ?*** caught segfault *** address 0xdc3f9b48, cause 'memory not mapped' Traceback: ?1: rep.int(seq_len(nx), rep.int(rep.fac, nx)) ?2: rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) ?3: expand.grid(seq_len(nx), seq_len(ny)) ?4: merge.data.frame(d, ss) ?5: merge(d, ss) ?6: valid.range(opt) ?7: eval.with.vis(expr, envir, enclos) ?8: eval.with.vis(ei,

Hi, I'm trying to take a vector (length almost 2,000,000) and merge it with a data frame of the same length. I'm trying to do it solely based on index, and not any other factors. The vector is called "offense", and the data frame is just called "data". I went with the simplest option: merge(data,offense) but it always gives me the same error: Error in

Hi, I'm trying to cast() some data, but keep on getting the following error... > norm.all.melted.height <- transform(all.melted.height, + norm.height = value / ave(value, SNP, Pool, FUN = max) + ) Warning messages: 1: In FUN(X[[147L]], ...) : no non-missing arguments to max; returning -Inf 2: In FUN(X[[147L]],

Dear all, I have a question about loading the data to barchart plot. I know this could be a very easy question, but I just can not get my head around. What I need to do is to create a trellis plots barchart style (horizontal bar), with levels of one variable (ie. variable “colour” in my example) as ylab and frequency as xlab on each trellis plot. The trellis plots is separated based on

Hello, I am a student and some really urgent help.I am using R software and while creating a grid with eight elements its showing the error and while if i do it with seven it says that the memory is not sufficient... here is the line ...with the error.... > Z<-as.matrix(expand.grid(x,y,x,y,t,s,t,s)) Error in rep.int(rep.int(seq(length = nx), rep.int(rep.fac, nx)), orep) : cannot

poly(NIR, degree = 2) will work if NIR is a matrix, not a data.frame. The degree argument apparently *must* be explicitly named if NIR is not a numeric vector. AFAICS, this is unclear or unstated in ?poly. -- Bert Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom

Hi, I have a erdos-renyi game with 6000 nodes and probability 0.003. g1 = erdos.renyi.game(6000, 0.003) How to create a Watts Strogatz game with the same probability. g1 = watts.strogatz.game(1, 6000, ?, ?) What should be the third and fourth parameter to this argument. -- View this message in context: http://r.789695.n4.nabble.com/Watts-Strogatz-game-tp3491922p3491922.html Sent from the R

Hello I am running Windows Vista 32 with 4 GB (installed, though Windows of cours= e only recognizes 3326 MB, as reported by Windows "My Computer") I am running R 2.7.1 I was trying to read in a comma delimited single column CSV file, assign th= at file to a variable ("data") and then extract a sample (assigned to "part= ial"). I was getting memory allocation

Dear expeRts, The order in which the variables vary in expand.grid() is often unintuitive. I would like to suggest a 'method' slot for expand.grid() which requires only very little changes (100% backward compatible) and which allows one to control this order. Please find attached diffs against R-devel. Cheers, Marius ### ./src/library/base/R/expand.grid.R

I see no bug here. R is telling you that you have insufficient memory available: see also ?"Memory-limits". See also rw-FAQ Q2.9. Note that we don't have a reproducible example and in particular have no idea of how many columns this data frame has. The 'R Data Import/Export' manual gives you many hints on how to do this more efficiently, and it is referenced from the

Hi, I am plotting a graph with kamada.kawai layout. But I am getting direction arrows in the graphs. Please let me know how to avoid this. g <- watts.strogatz.game(1, 2000, 5, 0.4) comps <- clusters(g)$membership colbar <- rainbow(max(comps)+1) V(g)$color <- colbar[comps+1] png(filename) plot(g, layout=layout.kamada.kawai, vertex.size=2, vertex.label=NA) dev.off() Please find

Dear all, I'm working with a code that consists of two parts: In Part 1 I'm generating a random graph using the igraph library (which represents the relationships between different nodes) and a vector (which represents a certain characteristic for each node): library(igraph) g <- watts.strogatz.game(1,100,5,0.05) z <- rlnorm(100,0,1) In Part 2 I'm iteratively changing the

Dear all, I know this problem was discussed many times in forum, however unfortunately I could not find any way out for my own problem. Here I am having Memory allocation problem while generating a lot of random number. Here is my description: > rnorm(50000*6000) Error: cannot allocate vector of size 2.2 Gb In addition: Warning messages: 1: In rnorm(50000 * 6000) : Reached total allocation

Hi everyone, Any ideas on troubleshooting this memory issue: > d1<-read.csv("arrears.csv") Error: cannot allocate vector of size 77.3 Mb In addition: Warning messages: 1: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see help(memory.size) 2: In class(data) <- "data.frame" : Reached total allocation of 1535Mb: see

Hi all, I am getting the following error message: > mymodel = glm(response ~ . , family=binomial, data=C); Error: cannot allocate vector of size 734.2 Mb In addition: Warning messages: 1: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 2: In array(0, c(n, n), list(levs, levs)) : Reached total allocation of 1535Mb: see help(memory.size) 3:

Hi all, It is not clear to me why this cannot be ploted with image. Any help? > g <- data.frame(expand.grid(x= 1:5, y= 1:5), z= rnorm(25)) > image(g) Error in image.default(g) : increasing x and y values expected > is.list(g) [1] TRUE > g$x [1] 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 1 2 3 4 5 > g$y [1] 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 5 5 5 > Thanks in