similar to: Bivariate Ripley K function

Dear friends, I am studying the spatial distribution of trees in a tropical swamp forest in Brazil, and the spatial association between the trees and other forest and non forest elements. These are point pattern analysis of mapped data, preferentially done with the L function of Ripley. I have recently discovererd the R-project and would like to know whether it is possible to do these

Hello, I am trying to conduct a bi-variate ripley's k using the k12hat function in the splancs package (found here http://rss.acs.unt.edu/Rdoc/library/splancs/html/k12hat.html). Although, I receive an error when getting to the bboxx part of the code: poly <- list(x=c(fire4$X, nar4$X), y=c(fire4$Y, nar4$Y)) plot(seq(5,80,5), sqrt(k12hat(fire4), as.points(nar4),

Am trying to do some study on bivariate binomial distribution. Anyone knows if there is package in R that I can use to calculate the density function of bivariate binomial distribution and to generate random samples of it. Thanks, -- View this message in context: http://n4.nabble.com/How-to-calculate-density-function-of-Bivariate-binomial-distribution-tp992002p992002.html Sent from the R help

If some can help to find under wich package can i find the commando's wich i schould to use to work with the empirical cummulative (ecdf) distribution and also the QQplot. Zmarrou Hicham Univesity of Amsterdam -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info",

Dear Sir, I am beginner in using R. I am working on climate and like to plot spatial but I can't able to go ahead. I know it is too simply but not for me. Here is attached the data and my sample script. I am waiting R-users to solve my problem. Your help is valuable for me. Thank you. -- --------------------------------------------------- *Bedassa Regassa Cheneka* *Adama Science and

Hi Is there anyone who can help a reporter (me) with the following: I want to use the bivirate k-function to determin if burgerbars are clustered around schools. To that purpose I’ve been told to use the bivirate k-function, but my program Arcview doesn’t contain that. Im stuck on a dead end – how to I for a start get the data into R? Michael Holm DICAR – Center for Anaytical Reporting

Ok, after several months of pulling my hair out I finally fixed WINS and browsing at out Univesity. It ended up being an acutal bug, er bad code segment. To explain we have a large number of clients ~1000+ at any one time over 6 subnets. Browsing was spuratic at best. nmbd sucked up %70 of the proccessing power of a sparc 5. Well after serious investigation I traced it down to two lines of

I am intersted in time-space clustering of local industry. I made the point file, polygons and time table then run 'stkhat' function in Splancs, but it generates only time k function. I noticed that it has only one ks value. ... Can anybody help me?. thanks in advance. countiespt <- read.table('d:/dissertation/dailynew/jun10/countiespt_ok.txt', sep=",")

I have two vectors x and y, which I would like to plot against each other. I am also displaying other data in this plot. However, I have about 1 million points to plot, and just plotting them x againt y is not very informative. What I'd like to do is to do sort of a continuous box plot. My x values goes from -1 to 1 and my y values from 0 to 1, so I?d like to plot the median and quantiles,

I have a data frame with data similar to this: NameA GrpA NameB GrpB Dist A Alpha B Alpha 0.2 A Alpha C Beta 0.2 A Alpha D Beta 0.4 B Alpha C Beta 0.2 B Alpha D Beta 0.1 C Beta D Beta 0.3 Dist is a distance measure between two entities. The table displays all to all distances, but the

I am trying to create some graphs with R and it seems to be able to do what I need. However, I have so far not been able to find any sort of explanation of how the graphics system works. I am for instance trying to create a multiple figure, and I seem to have to call plot.new() before every new plot command, I have however not found any explanation of what this actually does. ?plot.new does give

I have read and reread the boxplot and the boxplot stats page, and I still cannot understand how and what boxplot shows. I realize that this might be due to me not knowing enough statistics, but anyway... First, how does boxplot determine the size of the box? And is the line inside the box the mean or the median (or something completely different?) And how does it determine how long out the

I would like to put three figures next to each other in a figure. I have been reading the introduction to R, section 12 several times now, and I still can't make heads or tails out of it. Lets say that I have three dataframes a, b, c, and I want to plot a$V1, b$V1 and c$V1 in separate plots simply using plot(), how do I put them next to each other? I am sorry if this is a FAQ, but I cannot

I am trying to port the splancs library for S++ version 4.0 to R. I have modified the original FORTRAN to use dllwrap/dlltool (e.g. removed common blocks). I have been able to generate dll's (splancs.dll) using dllwrap/dlltool and Ming32 g77 with a -mdll switch. As of yet I have not been able to generate a dll that can be loaded by R. Does anyone out there have any suggestions. An example

Hi! I have a dataset that looks like this: 0.0 14 0.0 3 0.9 12 0.73 15 0.78 2 1.0 15 0.3 2 0.32 8 ...and so on. I.e. a value between 0 and 1, and a number I would like to plot this in a histogram-like manner. I would like to have a set of bins, each 0.1 wide, and plot the sum of values in column 2 that falls within each bin. I.e, in this case I would like the first bin, 0.0, to have the

Hello, What are the minimum number of points in a point pattern before a clustering analysis using a Ripley K function loses any meaning? I haven't been able to find much comment in the literature about this --- instead case examples typically use 100-200 points as a minimum. Regards, Sebastian Pucilowski

I am new to R, and I couldn't find the answers to my question in a faq. This could however be because I didn't know what to look for...:) I have three classes of data, data for bacteria, archaea and eukaryotes. I wish to display these in a histogram where all of the values are used to calculate each column. But, I want each column split in three, where the size of each coloured area

Sorry about this one being long, and I apologise beforehand if there is something obvious here that I have missed. I am new to creating my own functions in R, and I am uncertain of how they work. I have a data set that I have read into a data frame: > gctable[1:5,] refseq geometry X60_origin X60_terminus length kingdom 1 NC_009484 cir 1790000 773000 3389227 Bacteria 2

I have some code as shown below. Basically, I would like three boxplots to be set next to each other with no ylabels on the two "inner" plots, and I want the same x axis range on all three. However, it seems like boxplot does not respect the xlim setting. I've tried the various ways I thought would work (par, boxplot(...xlim=)) but none of them seem to work. I then tried plot.window,

Hello I have a XP on my Pc ,and I would like to install the splancs package on my machine what is the step for implementing them on my library? --------------------------------- [[alternative HTML version deleted]]