similar to: find distance between two points with different scale

I was playing around a bit to see how I could find the two points in a set of points (or ordered pairs) furthest from each other. Here's what I did: 1) created a Nrow by 2col matrix, so each row contains an x,y coordinate pair. 2) fed the matrix to a nested mapply (cv is my matrix): mapply(function(k,l) mapply(function(x,y,a,b) +

Dear R users, I have two coloumns of data, say x and y, referring to a list of points in 2D space. I am trying to develop a code that will give me the distances (using Pythagoras) between consecutive points (xi,yi) and (xi+1,yi+1). So far I have come up with the following: for (i in 1:length(x)) d<-sqrt((x[i+1]-x[i])^2+(y[i+1]-y[i])^2) For example, if I use the two points (note, I have

HI! I?ve 3 vectors of different length (a,b,c) and want to arrange them in a matrix a,b,c as rows and the figures of these vectors in the columns (with that matrix i want to calculate a distance between thes vectors - vegan - vegdist - horn). Is there a possibilty to create such a matrix and to fill up the missing fields with NA?s automatically???? Thanx marten winter -- *Marten Winter*

Deemed colleagues I would appreciate your help with a sentence to calculate the linear distance between 2 geographical points (coordinates in UTM). In advance thnks for your attention, -- Ricardo Bandin Llanos rbandin@udec.cl Estudiante - Magíster Cs. m. Pesquerías Universidad de Concepción, Región del Bio-Bio, Chile Celular: (0056-41) 97949957 [[alternative HTML version deleted]]

Hello all, I would like to compare the similarity of two cluster solutions using a validation criteria (such as Hubert's gamma coefficient, the Dunn index the corrected rand index and so on) I see (from here:http://www.statmethods.net/advstats/cluster.html) that the function cluster.stats() in the fpc package provides a mechanism for comparing 2 cluster solutions - *BUT* - it requires me to

Hi all, I would like to know a way of calculating the distance between 2 points when I already have the longitude and latitude of the points. For example : Point 1 : 52? 9'54.00"N 4?25'8.40"E Point 2 : 52?27'46.80"N 4?33'18.00"E Distance between point 1 and point in km .... Is there any functions already available for this ? Any help will be much

Dear R, I have a bunch of geographic locations specified by lat-long coordinates. What's an easy way to calculate geographic distance between any two points? OR, perhaps there is a function for calculating a distance matrix for K sites? Sincerely, Scott Chamberlain [[alternative HTML version deleted]]

Dear friends, I have several sets of points in a transformed environmental space. Each set of points can be represented as a cloud in the environmental space. This space is spanned by n coordinates, corresponding to the first n PCs of 36 PCs of some environmental variables (12 monthly minimum temperatures, 12 monthly maximum temperature, 12 monthly precipitations). I would like to calculate

Heja, I've some bigger distance-matrices like this: num [1:3231, 1:3231] 0.000 0.176 0.176 0.176 0.176 ... - attr(*, "dimnames")=List of 2 ..$ : chr [1:3231] "A" "B" "C" "D" ... ..$ : chr [1:3231] A" "B" "C" "D" . I actually want to convert them into a 2 column dataframe like this: data.frame':

Dear R users, I know that this could easily be solved within a GIS-package, but sometimes it's more convenient to use R. So here's my question anyway... Does anyone of you know about any R-functions/code that calculates the distance between a number points and a polygon or polyline? I have looked thru the different libraries that deals with spatial statistics but haven't found

Dear UseRs, MY PROBLEM IS A SMALL PIECE OF A REAL BIG AND A COMPLICATED PROBLEM. IF I DELIBERATE IN A VERY SIMPLE WAY THEN ALL I WANT IS TO PUT ALL THE POSSIBLE COMBINATIONS OF 75 DISTANCE MATRICES (BY TAKING 4 MATRICES, MORE COMMONLY 75C4), in the following equation. t<-as.matrix((MAT1)^2+(MAT2)^2+(MAT3)^2+(MAT4)^2+,upper=T,diag=T)) Then "1215450" values of "t"(one for

I want to plot the cluster trees from the results of hclust() on different datasets, but all with the same distance scale corresponding to the dataset with the largest distance range. However, plclust() does not accept ylim values. Does anyone know of a way around this problem? Mike White

Dear R-listers, Here, I would like to hearing helps from you. I have GPS data (multiple points in the geographic scale) in longitude/latitude. I intend to calculate distance (in kilometer) among such points and output the distance matrix in dist class. I have gotten some progress, but I still can not get final goal. Could please give me any directions/advice? This email cc. to Mr. Pierre, the

Hi, I should preface this problem with a statement that although I am sure this is a really easy function to write, I have tried and failed to get my head around writing functions in R. I can use R where functions exist to do what I want done, but have found myself completely incapable of writing them myself. The problem is that I have a table with several rows of species and several columns of

Do you know what steps I need to take to add a scale to a plot? I'm pulling my example out of "An Introduction to R: Software for StatisticalModelling & Computing" (see the R code around Figure 76). I would like to add a scale to the image produced by the following code.? I would like to the scale to list the distance?and units:? data(volcano) x <- 10*(1:nrow(volcano)) y

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Dear all, in package Hmisc `rcorr' computes a matrix of Spearman's `rho' rank correlation coefficients for all possible pairs of columns of a matrix. What if I want a matrix of rank correlation coefficients for pair of columns of two different matrices? I have the same question about distance metrics in package Vegan. The function 'vegdist' computes distance indexes for all

I'm stuck on how best to of find the distance between ordered integers (presented below as a birthday problem). Given the vector x, how do I most efficiently generate the vector x[i+1] - x[i]? Thanks. --Dale For example... set.seed(555) x <- sample(1:365, 10, replace=TRUE) x <- sort(x) x x[i+1]-x[i] --- --------------- 14 14 0 75 61 136 61 197 61 236 39 253 17 310 57 323

Dear list I have two datasets, one with a large number of point coordinates, the other with spatial polygons. I want to measure the shortest distance from each point to the border of all polygons, and then store the results as a column in a data frame. (Or a vector that can be turned into a column in a data frame). The points and polygons represent different types of events, happening at

Dear R helpers, I'm trying to write a numerical scheme for a boundary integral method to solve an electromagnetic problem. This requires the computation of the distance between points at the surface of an object (a sphere, in my example). Here is my code, > require(rgl) > r<-1 > size<-10 > theta<-seq(0,2*pi,length=size*2) > phi<-seq(0,pi,length=size) > pc