similar to: How to write a shapefile with projection

Hello, 1) I'm planning on adding lots of measurements to the driver liebert-esp2 + correct support for 3-phase systems. Should I make a large patch based on the last svn head or send you the whole file? Multiple patches per change are probably not practical in this case. 2) in http://www.networkupstools.org/doc/2.2.0/new-names.html there is no crest factor variable. Crest factor is very

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

Hi, I'm trying to normalize data by fitting a line through the highest density of points (in a 2D plot). In other words, if you visualize the data as a density plot, the fit I'm trying to achieve is the line that goes through the "crest" of the mountain. This is similar yet different to what LOESS does. I've been using loess before, but it does not exactly that as it takes

Hi Quentin, > On 22 Jan 2016, at 15:16, Quentin Colombet <qcolombet at apple.com> wrote: > 1. If anyone else is interested for such concept? yes, we are! (https://github.com/t-crest) > 2. What kind of information should we make accessible in an hypothetical MachineModule? I.e., how do you plan to use the MachineModulePass so that we make the right design decisions for the

I have a quick question: It appears that in rgdal v0.7-12 (R version 2.15.1, OSX 10.6.8) writeOGR will not write a shapefile the the current directory. Is this correct? An earlier version of rgdal must have allowed this because I have a older script that used to work, but doesn't now. So, as an example, here is what I get today: > shape = readOGR('.',

Hi, Doing more search i've discovered package RGDAL that can write a geotiff file with projection. I saved a geotiff file in UTM projection and if i read the file back in R and check the projection seems that everything is OK. But if i load the file in ArcGIS (ESRI product) i get the warning that the file is missing spatial reference so it cannot be projected, but it is displayed correctly.

Hi, I posted a message earlier entitled "How to fit a line through the "Mountain crest" ..." I figured loess is probably the best way, but it seems that the problem is the robustness of the fit. Below I paste an example to illustrate the problem: tmp=rnorm(2000) X.background = 5+tmp; Y.background = 5+ (10*tmp+rnorm(2000)) X.specific = 3.5+3*runif(1000);

Hi, On 06/10/2013 09:13 AM, Jonas Wagner wrote: > Hi, > > I know that backend processes one function at a time, > is it somehow possible to do there a whole program analysis, > or could you give me some guidelines? > > The backend introduces a MachineFunctionPass, from which point on it is only possible to run FunctionPasses, otherwise the machine functions

Computational Aspects of Simulation and Inference for Stochastic Processes and the YUIMA Project This two-day workshop is aimed at presenting the latest results on simulation and inference for stochastic processes and their current and prospect implementation within the YUIMA R package. Dates: March 27 (Tue) 9:15-12:15, 14:45-17:45 March 28 (Wed) 9:15-12:15, 14:45-17:45 Location:

System info: Linux slackware R Version 1.5.1 (2002-06-17) ESS 5.1.21 Emacs 21.2.1 ------------------- Colleagues I have some text files in a certain directory and want to process them sequentially. So I want to pass the filename identifier into a function and loop through the processing of each file in turn.I've called the file identifier f in this code segment: image.dvm <- function

Dear List, I am analyzing the home range area of fish and seem to have lost the individuals ID names during my manipulations, and can't find out how to rename them. I calculated the MCP of the fish using mcp() in Adehabitat. MCP's were converted to spatial points data frame and exported to qGIS for manipulations. At this point the ID names were lost. I brought the manipulated

Hi, I am new to R and am a very basic user. I'm importing SHP files, adding plots of random locations within my polygon (these files have GPS data), and then want to save these plots (intact with added points) as KML files to look at in GoogleEarth (or possibly as SHP files which I can then convert into KML). This is as far as I've gotten (code below) and am lost as to next steps, Any

Call for Participation http://www.hpdc.org/2012/ The organizing committee is delighted to invite you to *HPDC'12*, the /21st International ACM Symposium on High-Performance Parallel and Distributed Computing/, to be held in *Delft, the Netherlands*, which is a historic, picturesque city that is less than one hour away from Amsterdam-Schiphol airport. HPDC <http://www.hpdc.org> is

Call for Participation http://www.hpdc.org/2012/ The organizing committee is delighted to invite you to *HPDC'12*, the /21st International ACM Symposium on High-Performance Parallel and Distributed Computing/, to be held in *Delft, the Netherlands*, which is a historic, picturesque city that is less than one hour away from Amsterdam-Schiphol airport. HPDC <http://www.hpdc.org> is

Dear R help list, ? I am working on some data from a study on the habitat use and movement patterns of fish using a marine protected area in Hawaii.? We have a number of acoustic receivers in a MPA, and any time a tagged fish passes within range it records the date and time of detection.? I am trying to make bubble plots?showing the number of detections for each fish at each receiver.? I have been

I have a vector of dimension 67, but CircStat circ.summary and circ.disp seems to conclude that the dimension is 1. I am new to R so maybe I'm just missing something. > dim(data) [1] 67 1 > circ.mean(data) [1] 0.2200071 > circ.summary(data) n mean.dir rho 1 1 0.2200071 43.12534 > circ.disp(data) n r rbar var 1 1 43.12534 43.12534 -42.12534 >

This is a wrapper around gnm by Turner and Firth to make fitting log-multiplicative models as convenient as possible: it provides simple functions, good starting values, jackknife or bootstrap standard errors, and direct plotting of the results. In addition, it makes it possible to identify scores from RC(M) association models, which gnm does not allow without computing the SVD yourself. It will

This is a wrapper around gnm by Turner and Firth to make fitting log-multiplicative models as convenient as possible: it provides simple functions, good starting values, jackknife or bootstrap standard errors, and direct plotting of the results. In addition, it makes it possible to identify scores from RC(M) association models, which gnm does not allow without computing the SVD yourself. It will

Hi, I know that backend processes one function at a time, > is it somehow possible to do there a whole program analysis, > or could you give me some guidelines? > There are different kinds of LLVM passes: Those that process a function at a time (FunctionPass), but also those that work on the call graph (CallGraphSCCPass) or on an entire module (ModulePass). These are described in the

Attached. I also attach sample output from upsc OL & OB. I only tested it with 3-phase in/3-phase out ups. Thanks, -Spiros -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.alioth.debian.org/pipermail/nut-upsdev/attachments/20100421/1d18bd30/attachment.htm> -------------- next part -------------- battery.current: 0.00 battery.runtime: 4860