search for: ycoords

Hi, I have two problem with a for looping using R Version 2.1.1 (2005-06-20) on a Debian Linux Testing. The first problem: warnings messages Look: > xcoord <- 5 > ycoord <- 5 > indice <- 1 > for(i in c(1:5)) {indice <- indice+1;xcoord[indice] <- xcoord+i; ycoord[indice] <- ycoord } Warning messages: 1: number of items to replace is not a multiple of replacement

Dear list, I am trying to program semi-random movement within a circle, with no particles leaving the circle. I would like them to bounce back when they come to close to the wall, but I don't seem to be able to get this right. Would somebody kindly give me a hint ? This is my code so far, the particle starts at some point and moves towards the wall, but I don't get the "bouncing

Dear list, ? I am trying to program semi-random movement within a circle, with no particles leaving the circle. I would like them to bounce back when they come to close to the wall, but?I don't seem to be able to get this right. ?Would somebody?be able to?give me a hint ? This is my code so far, the particle starts at some point and moves towards the wall, but I don't get the

Hallo, I have a set of S4 and S3 classes together in one script. While running this script I create a lot of new functions and objects An example for S3 and S4 classes: ## S3 classes pt <- list(x=1,y=2) class(pt) <- "xypoint" xpos <- function(x, ...) UseMethod("xpos") xpos.xypoint <- function(x) x$x ypos <- function(x, ...) UseMethod("ypos")

...me mean and SD, I can compute the alpha shape without trouble (which is why I think it might have to do with the spatial arrangement of my points). See below: # first here's a quick sample of my data (UTM coordinates) > xcoords[1:5] [1] 670080.2 670080.2 670080.2 670080.2 670080.2 > ycoords[1:5] [1] 5005501 5005499 5005498 5005497 5005495 > xcoords[1:5] #try the ashape routine with error > alpha.shape<-ashape(xcoords,ycoords,15) Error in tri.mesh(X) : error in trmesh #get statistics to generate a similar dataset to test against > length(xcoords) [1] 26257 > length(...

Hello R Community, I have imported a dataset which contain X Y coordinates and would like to recreate a shape file after some data analysis. What i have done is to import some taxlot data and join them based on some criteria. I want to check to see how well the joining went by reviewing the results in GIS. A couple things. I cant seem to import a shape file correctly using the maptools

...27.53937,42.52641,178,...,... 27.55225,42.52641,181,... 27.56512,42.52641,177,... 27.57800,42.52641,181,... 27.59087,42.52641,181,... 27.60375,42.52641,180,... 27.61662,42.52641,181,... In other words I would like to merge all the tables taking into account the common row names of their xcoords AND ycoords. Is there any way to do this in R? I would be grateful for any advice. Many Thanks Isidora

Hello, I've a problem for setting graphical parameters in perspective plot (function persp). I wonder if it's possible to add some text (function text) on an existing persp plot USING the axis coordinates. In fact I want to add some text on a persp plot according to x coordinates. I've tried to use text(xcoord,ycoord, label="toto") but the toto text doesn't appear at

Dear all,  Who will bail me out. Iam using R with S-Splancs. Anytime i typed in the syntex, an error will appear eg setwd("C:\\TEMP) >dat <- read.table(cheshire_fmd.cvs",header=TRUE, sep=",") > dat.<-read.table(''chesire_fmd.cvs'',header=TRUE,sep='',) Error: unexpected symbol in "dat.<-read.table(''chesire_fmd.cvs" >

I am working on creating an R package for doing fire department analysis and am trying to create a function that can display emergency incident densities. The following code sort of does the trick, but I need a display that shows the number of incidents per square mile. I believe the code below shows incidents per square unit (in this case, degrees lat/long). To solve this problem, I believe

Hello R-users, I have code that gives me the important variables from an analysis. I need to input these variables into a different analysis. To do this, I need to modify them slightly... 1) remove all numbers at the end of the variables, 2) remove all periods. I tried to do it with the awkward code below. It works to remove all the numbers, but when I try to remove the period everything

Hello again, First I want to thank all the people who answered my question about line width in graphs. I promise I will learn the 'par' help page by heart for the end of the month ! I now want to trace some ellipses to emphasize groups of data. I found how to trace circles with 'symbols()', but no ellipse. I'm planning on writing my own function based on

Hello, I have multiple observations (replicates) per station...and the stations are distributed in space. I've applied models using lme and gls from the nlme library. I've messed around with compound symmetry to capture the correlation within stations. My question is.....I have x and y coordinates for each station (the subsamples have nearly the same coordinates)...how do you

Please see the code below. When I try to run the variogram - vg.deft<-variog(rd,uvec=10) I keep getting this error- variog: computing omnidirectional variogram Error in vector("double", length) : vector size specified is too large Also, when I try to define distance-based neighborhood - nb.tr=dist.neighbors(tr.locs,2) I get this error - Error in vector("double", length) :

Full_Name: thomas cornulier Version: 1.9.0 and 1.9.1 OS: Win XP Submission from: (NULL) (194.254.155.62) the following function produces R crashes under windows XP platform i386-pc-mingw32 arch i386 os mingw32 system i386, mingw32 status major 1 minor 9.1 year 2004 month 06 day

I want to do kernel smoothing on the standardised mortality rates at specified location(x-y coordinates) and be able to produce contour map. I've tried to use the package called fields in R (function smooth.2d) but the problem is I get negative results after smoothing and I do not understand why? Your contributions will be highly appreciated or if there is any package that can do this I

Hi all, I am new to R, hence this question. I have a set of points with X and Y coordinates. I would like to build an R code to calculate the distances of points within a specified neighborhood (circular range) for each point. I would like the code to be a function, so that I can call the function, specifying parameters (data file, distance), from another piece of code. Also, I would like the

Dear all, We used the following function to create a spatial plot of a raster image: filled.contour(xx,yy,zz, color = terrain.colors, nlevels=10, main=naamjaar, plot.axes = { contour(Xcoord/1000,Ycoord/1000,lim.data, nlevels = 4, col=4,drawlabels = T, axes = FALSE, frame.plot = FFALSE, add = TRUE);axis(1); axis(2);

Dear R help-list, I am trying to calculate Monmoniers algorithm. I have 3 data sets: coordinates (coord), distance matrix (comdist) and geographical distance matrix (geodist). I consistently get the error " dimnames does not match array extent". However, when I use the function "structure" I get the following results: > str(coord) 'data.frame': 114 obs. of 3

hi,R-users: Now I plot some data with the name(aveobsdata) in column , How can I add the some number(e,g. the sample number) in each of the column? plot(aveobsdata,type='h',lwd=line_width,col=line_col,main=titleinfo,xlab=xxlab,ylab=yylab,xaxt = "n") axis(1, at = 1:nums, label = name) --