similar to: how to solve a min problem

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Dear List, I have a set of distributions recorded at an equal interval of time and I would like to plot them as series of horizontal histograms (with the x-axis representing time, and y-axis representing the bins) since the distribution shifts from unimodal to multimodal in several occasions. What I would like to see is something close to a violinplot, but I do not want a kernel density

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I am running this small program: x <- factor(c("A","B","A","C")) y <- c(1,2,3,4) w <-data.frame(x,y) if (w$x=="A"){ w$z=1 } w And I obtain: x y z 1 A 1 1 2 B 2 1 3 A 3 1 4 C 4 1 And not x y z 1 A 1 1 2 B 2 NA 3 A 3 1 4 C 4 NA Like I should obtain. What am I doing wrong? Please notice that I get a warning approximately saying -

Hi Im working on my master thesis, I need to get a plot currents distributed over a surface. I have the data listed in a dataframe with the x coordinates, y coordinates and the value. Im using the persp function but I’ve not found out how to put the data into the z1 variable es <-read.table("RDatalog_pass_dev_1_wafers_1_8V.txt",header=T,sep="\t") x1 <-

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Dear all, I have a function f(x) which return a list as result. $T1 [1] 0.03376190 $T2 [1] 0.04725 $T3 [1] 0.3796071 $T4 [1] 0.3713452 $T5 [1] 0.4523651 $T6 [1] 0.4575873 I now find the result for a vector of x values at one time. I want to store the reuslt for each xi value in a column of a matrix x <- seq(0,1, by=0.1) result <- matrix(0, nrow=6, ncol=length(x)) for (i in

Hello. I am creating an R package that I'd like to submit to CRAN (OS Windows XP). How do I distinguish among 'public' functions, e.g., those that are intended to be called by users of the package and for which I am providing documentation & examples, and 'private' functions, which are used internally by the 'public' functions, but for which I do not wish to

Hello, I have build a syntax to find out if a given substring is included in a larger string that works like this: d1$V1[regexpr("some text = 9",d1$V2)>0] <- 9 and this works all right till "some text" contains standard ASCII set. However, it does not work when accents are included as the following: d1$V1[regexpr("some t?xt = 9",d1$V2)>0] <- 9 I have

I agree about sampling, but.. You can go a little further with your hardware. The defaults in R is to play nice and limit your allocation to half the available RAM. Make sure you have a lot of disk swap space (at least 1G with 2G of RAM) and you can set your memory limit to 2G for R. See help(memory.size) and use the memory.limit function Hugues P.s. Someone let me use their 16Gig of RAM

Hi All, I am a PhD student in forestry science and I am working with LiDAR data set (huge data set). I am a brand-new in R and geostatistic (SORRY, my background it?s in forestry) but I wish improve my skill for improve myself. I wish to develop a methodology to processing a large data-set of points (typical in LiDAR) but there is a problem with memory. I had created a subsample data-base but

hi, i'm trying to perform a clustering on a big dataframe the code is this: print("load required R packages") require(spgrass6) require(cluster) gmeta6 <- gmeta6() print("read in our 7 raster files from GRASS") x <- readFLOAT6sp(c ("er","crosc","longc","slope","profc","minic","maxic"))

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