similar to: SVS tree lists

Could someone give me a hand with the format of the gsummary function? Basically, I have a large set of xyz coordinates generated by LiDAR data (>37 million points) and I am trying to derive various summary statistics on the z-coordinates by a grid cell. I wrote a function to do this by creating factors from the x- and y- coordinates and then using gsummary. However, I want the function to

I am modeling a trend surface using trmat and want to trim the resulting matrix to the area enclosed by my real data (i.e., remove all the extrapolated areas). I was using chull and in.chull to calculate the convex hull and change all the other values created by trmat to NA. However, my real data has portions that are slightly concave so chull would give me slivers that are extrapolations from

Is there a package, or does anyone have code they are willing to share, that would allow me to simulate sampling of dead wood pieces across an area? I am specifically looking for code to simulate the dead wood distribution as small line segments across an extent, and then I will "sample" the dead wood using different sampling techniques including line transects, fixed area plots, etc.

R community: I have been creating code for plotting nomographs, or multiple, overlain contour plots of z-variables on a common x- and y- variable. My input has been a matrix with observed x, y, and multiple z variables; I then create a trend surface using trmat for each z-variable. So far so good. One application I have for these, requires shading a portion of the nomogram that meets criteria

Just a quick question. Is there a way to easily specify factor levels in a function definition within nls? For example, I am trying to fit a 3 parameter, nonlinear Weibull function to tree height and I would like to have results by species (or down the road a bit, by plot). I am hoping there is someway to do it easily, similar to the "gas example" in the ANCOVA chapter in Modern

I wish to do a stacked area chart to show how relative proportions of species within a stand have changed over time. I know this is simple, but can someone point me to the right function (if it exists). I have not had any luck finding it in the R-help, but maybe I am searching using the wrong keywords. Thanks, Mike Mike Saunders Research Assistant Forest Ecosystem Research Program Department

This is a strange request, but I want to build a scatterplot using different image files (jpegs, gif, etc.) as the plot symbols. I have thought about setting this up using a very large layout matrix, but I thought someone might have a better approach. Furthermore, is there any way to have R paste an image file into a specific coordinate within a scatterplot? Thanks in advance, Mike Mike

Does someone out there have an example of R-code for a split-split plot ANOVA using aov or another function? The design is not balanced. I never set up one in R before and it would be nice to see an example before I tackle a very complex design I have to model. Thanks, Mike Mike Saunders Research Assistant Forest Ecosystem Research Program Department of Forest Ecosystem Sciences University of

r-help at stat.math.ethz.ch on Wednesday, October 26, 2005 at 6:00 AM -0500 wrote: Ronaldo, Try Harold's suggestion. The df still won't agree, because lmer (at least in its current version) just puts an upper bound on the df. But that should be OK, because all those t tests are approximations anyways, and you can get better confidence intervals (credible intervals, whatever) by using the

We are using dbox with lz4 compression and dovecot-lda + sieve for delivery. Mail recieved: Mar 16 06:27:55 mail2 dovecot: lda(svs at example.com): sieve: msgid=<20160316032754.4C89D2C4 at rdbms.oldstable.office.example.com>: stored mail into mailbox 'INBOX' Around 08:14:00 user start his thunderbird with local filters. He found one mail without headers. Around that time user do

Hi there, I have a problem I can not solve myself. I have samba 3.0.28 installed on a Ubuntu 8.0.4 server. Samba is a member of AD. Authentication is kerberos, user- / group ids are handled by nis (Windows 2008 SFU / NIS Server). My Samba config: [global] write list = admin,rado,@Administratoren deny hosts = 0.0.0.0/0.0.0.0 client schannel = No allow hosts = localhost,

I'm having problems getting code that runs under 3.6.1 on MacOSX (and Ubuntu) to run the R version 4.0.0 on Windows. I have not tested R 4.0.0 on mac (yet). Key question: Has anything changed in R 4.0.0/Windows regarding how dynamically loaded libraries are accessed? Can someone please point me in the right direction? WORKS On MacOSX Under: R version 3.6.1 (2019-07-05) -- "Action of

r-help at stat.math.ethz.ch on Saturday, May 13, 2006 at 6:00 AM -0500 wrote: >>One of my friends recently wrote his PhD thesis from University of >>Leeds under Kanti Mardia's direction. I bet your friend was really angling for that. -- Alan B. Cobo-Lewis, Ph.D. (207) 581-3840 tel Department of Psychology (207) 581-6128 fax University of Maine Orono, ME 04469-5742 alanc

hello folks, I am in the process of integrating a linux box in our windows NT/95/98 network, but so far I am having little luck with getting samba to work. I am using Red Hat 5.1 with KDE, the samba version that I installed is 2.0.3.1. I want access from other machines as guest only and to achieve that I created a guest account called guest on thel inux machine. My problem is the following.

Long ago (Sat, 2 Nov 2002), Bill Hart <w.hart at sbcglobal.net> wrote: > An R newbie here. I am using R 1.6 currently and have > (successfully, I think) installed the Foreign package. > Tried to import a data file created with Stata 7.0 > SE. Had minor problems with syntax then R decided > that my file was not really a Stata file. It rejected > the file saying

Hi, We've had our business server functioning dandy for a long time, with SAMBA acting as a domain controller for our Windows XP pro clients. No issues. All was lovely. We're running Suse 9.3, Kernel 2.6.8-24.14-smp, Samba version Version 3.0.9-2.3. Now, it was time to upgrade hard drives in the RAID controller, to create a 200 gb container (rather than the 100 gb container we had). So,

Hi Martin, Thanks very much for the information. I guess the part: * Coherency of the file data you serve with Samba You need to make sure that updates to the data that you are serving are seen coherently across the cluster. Is the tough one. Is there a way to do this that you know of when using NFS? I see version 4.5 RC2 was just released. Do you know when it will be fully released?

Hallo, I have a question concerning SVM regression in R. I intend to use SVMs for feature selection (and knowledge discovery). For this purpose I will need to extract the weights that are associated with my features. I understand from a previous thread on SVM classification, that predictive models can be derived from SVs, coefficiants and rhos, but it is unclear for me how to transfer this

I was wandering if anybody ever tried to compare the classification accuracy of nnet to other (rpart, tree, bagging) models. From what I know, there is no reason to expect a significant difference in classification accuracy between these models, yet in my particular case I get about 10% error rate for tree, rpart and bagging model and 80% error rate for nnet, applied to the same data. Thanks.

Can anyone explain the root of my problem? When I type the following code into R, I receive 42 support vectors insted of the 21 stated in the book 'Modern Applied Statistics with S': library(MASS); library(e1071); library(class); lcrabs <- log(crabs[,4:8]); (svm(crabs$sp ~ ., data = lcrabs, cost = 100, gamma = 1)); By changing the value of gamma I can obtain only 21 support vectors,