similar to: Scope problem?

Hi there, I'm looking for someone who can give me some hints how to make a nice levelplot. As an example, I have the following code: # create some example data # -------------------------------------- xl <- 4 yl <- 10 my.data <- sapply(1:xl, FUN = function(x) { rnorm( yl, mean = x) }) x_label <- rep(c("X Label 1", "X Label 2", "X Label 3", "X

After installation of R into VineLinux2.1.5, I started to enjoy statistics following some instruction, and found it very useful. One of my main purpose to use R is to try spatial statistics. Since library named "spatial" has already installed, I just tried ... > library(spatial) > towns <- ppinit(test.dat) ------- test.dat ------- x,y 4,7 5,7 5,8 5,9 6,7 6,8 6,9 7,8

Hi: We're trying to install the Hmisc package on a Solaris 9 machine. Here's what we get: R CMD INSTALL /usr/local/srctree/Hmisc_3.4-2.tar.gz * Installing to library '/usr/local/lib/R/library' * Installing *source* package 'Hmisc' ... ** libs g95 -fPIC -g -O2 -c cidxcn.f -o cidxcn.o g95 -fPIC -g -O2 -c cidxcp.f -o cidxcp.o g95 -fPIC -g -O2 -c hoeffd.f -o

Dear R-sians! I am trying generate a bunch of xyplots library(lattice) myPanel <- function(x,y,xl=range(x),yl=range(y),...) { panel.xyplot(x,y, pch=20,col='blue',cex=0.7,xlim=xl,ylim=yl,...) panel.abline(v=0, col='gray30',lty=2,lwd=1.5,...) panel.loess(x,y, span=2/3,family='gaussian',normalize=T,col='red',lwd=1.5,...) #

Dear All, I have a codes which calculates the result of Ripley's K function of my data. I want to repeat this process 999 times. However, i am getting an error when i use the "for i in" function. Is there any way to repeat this analysis 999 times. Here are the codes i used ; data4 <- matrix(c(sample(id),data1),203,3) a <- data4[,1] random.case=data4[a==0,]

Hi- I'm trying to make my PCA (princomp) colored. In my csv excel sheet, I have the first column numbered according to the groupings I want to assign to the PCA. I've played around with trying to set this first column as the color vector, but haven't had any luck. Any suggestions? Thanks, Hillary [[alternative HTML version deleted]]

Hi! I want to use the package "SPLANCE" to do Ripley's K analysis I have a basic question about the package. I try to find how to do it, but I cannot. I hope you can help me. I donot know how to change my data form to "point data set". my data form is: > qumo[1:5,] code species dbh x y tag status branch 223 10312 QUMO 54.5 7.83 44.80 10306 alive

I am trying to create a map with selected states based on highest to lowest mean cost. The following code properly selects the correct states, and the legend is properly color coded with ranges, but the colors per range does not match the state colors. I need help getting the state colors to match the ranges outlined in the legend. I have tried ordering the mean amounts and this correctly creates

Dear all, I have discovered that there are many things that I used to do in my GIS which are easily done directly in R, for example calculating interpoint distances using geoR and pick out points inside a polygon using splancs. I now wonder, is there a function to create a line object like a watercourse and then calculate the distances between many points in space and this line? I couldn't

To whom it may concern, I am a student at Macaleste College, and next semester Macalester is going to offer a course for CellBio that is mainly statistically based. For the most part the students will be using R for analysis. The problem is there will be some simple differential equations for the students to solve. The committee that in charge of the classes corriculam would like only to

_mulx_u64 only exists when the target is x86_64. That's still not very portable. I'm not opposed to removing the bmi2 check, but gcc also has the same check so it doesn't improve portability much. ~Craig On Sat, Dec 29, 2018 at 4:44 PM Arthur O'Dwyer via llvm-dev < llvm-dev at lists.llvm.org> wrote: > Hi Pawel, > > There is the _mulx_u64 intrinsic, but it

Here is a copy of the last few lines in base-Ex.Rout.fail: > x <- seq(3,500);yl <- c(-.3, .2) > plot(x,x, ylim = yl, ylab="",type='n', main = "Bessel Functions Y_nu(x)") > for(nu in nus){xx <- x[x > .6*nu]; lines(xx,besselY(xx,nu=nu), col = nu+2)} > legend(300,-.08, leg=paste("nu=",nus), col = nus+2, lwd=1) > > x <-

Sorry if my terminology is all out of sorts here, but I'm curious about a simple matter: I have a plot, and within it a box defined by lines, like so: plot(c(), xlim=c(-1.5,1.5), ylim=c(0,5)) lines(c(1,1,-1,-1,1),c(1.5,3.5,3.5,1.5,1.5), col=c("red")) I'd like to easily chop the box drawn by lines into an even 3x3 grid- is this possible easily? Thanks! -- Wells Oliver

Happy New Year I recognize this is a low priority issue, but... I'll fix it if you let me. There are some TABs where R style calls for 4 spaces. For example R-3.0.2/src/library/stats/R/dummy.coef.R. I never noticed this until today, when I was stranded on a deserted island with only the R source code and a Swiss Army knife (vi). Now I realize my ~.vimrc has tabstop set at 2, and it makes

Hi how can I plot a series of number as a line, but with lines above a threshould as one color, and with lines below the threshold as another color. for example, a numeric vector: rnorm(1:100), and plot these numbers in the original order, but lines above the horizontal line at 0 are in red, and lines below in blue? Thanks

I propose the following enhancements and changes to plot.lm(), the most important of which is the addition of a Residuals vs Leverage plot. (1) A residual versus leverage plot has been added, available by specifying which = 5, and not included as one of the default plots. Contours of Cook's distance are included, by default at values of 0.5 and 1.0. The labeled points, if any, are those

Full_Name: Barry Rowlingson Version: 1.6.0 OS: RH8 i386 Submission from: (NULL) (148.88.136.205) Strange things happen if I premultiply a difftime() object with a number. Example: > d1 <- difftime(Sys.time(),Sys.time()) > d2 <- 1 * difftime(Sys.time(),Sys.time()) > d3 <- difftime(Sys.time(),Sys.time()) * 1 > d1 Time difference of 0 secs - thats fine > d2 [1] 0

Hi In R, using plot(x,y) followed by abline(lm(y~x)) produces a graph with a regression line spanning the whole plot . This means that the line extends beyond the swarm of data points to the defined of default plot region. With par(xpd=T) it will span the entire figure region. But how can I limit a regression line to the data range, i.e between (xmin,ymin) and (xmax,ymax)? Sorry for

Hello, I am getting crash on lmtp for specific message on dovecot 2.3.2 See below the backtrace: Jul 02 22:54:20 Panic: lmtp(xxx)<172769><yL/kH0zXOlvhogIAF3haWw:3>: Buffer write out of range (23153 + 18446744073709551614) Jul 02 22:54:20 Error: lmtp(xxx)<172769><yL/kH0zXOlvhogIAF3haWw:3>: Raw backtrace: /usr/lib64/dovecot/libdovecot.so.0(+0xcdfe4) [0x7f1fc8df9fe4] ->

Hi all, I am trying to plot a weighted density plot for two different types and want to show the data points on the x axis. The code is as follows. The data points are very concentrated. Is there a better way to present it( should I set the alpha value or something else)? Thanks! YL library(ggplot2) x <- rnorm(10000) a <- rnorm(5000) b <- rnorm(5000) weights.x <- abs(a/sum(a))