similar to: maps and lattice

Does anyone have any experience plotting complex polygons on a scatterplot3d display? I would like to present some spatially binned data in a 3-d type plot with background polygons (i.e.. a filled coastline map). I can get the coastline onto the plot window as a line type but cannot figure out how to fill the shape. I'm certain it may be possible but might require a bit of digging

I am running R 2.5 on a Mac platform and have a difficulty loading the Tcl/Tk package. Specifically: R>library(tcltk) Loading Tcl/Tk interface ... Error in fun(...) : couldn't connect to display ":0" Error : .onLoad failed in 'loadNamespace' for 'tcltk' Error: package/namespace load failed for 'tcltk' Is there an explanation to this problem? Thank you

I have been crashing R while using lattice. My system consists of a Mac Intel, R 2.5.1, lattice 0.15-5, and I plot through the default quartz. R crashes after plotting several lattice functions. Has anyone else encountered this problem and does anyone know the cause, or a solution? Is this a lattice:mac, lattice:quartz, Lattice:me issue? example... This crashes my system after plotting.

I am 100% positive there is a better fix for this problem and it has been discussed. Thank you in advance for bringing it to my attention. When upgrading to newer versions of R the old packages are not brought along in the process. I solved that problem by creating a list of the packages in the old version of R, importing them to the new version via a CSV, and re-installing into the newer R

I have been attempting to estimate the periodic contribution of an effect to some data but have not been able to fit a sine wave within R. It would be nice to start by being able to fit a sine wave with an amplitude and frequency. x<-seq(0,20,by=0.5) y<-2*sin(2*pi*.5*x) #amplitude =2, frequency=0.5 # This failed to converge r<-nls(y ~ A*sin(2*pi*F*x), start=list(A = 1, F = 1),

Greetings, I am attempting to run a function, which produces a vector and requires two input variables, across two nested factor levels. I can do this using by(X, list(factor1, factor2), function), however I haven't found a simple way to extract the list output into an organized vector form. I can do this using nested loops but it isn't exactly an optimal approach. Thank you

  Hi r-users,   I would like to use gev and my data (annual rainfall ) is as follows:   > head(dat,20) A B C D E F G H I J 1 45.1 41.5 58.5 50.1 46.0 49.1 37.7 49.1 59.8 54.0 2 50.3 39.8 49.4 56.4 49.4 48.8 42.1 49.8 49.4 58.3 3 41.7 39.3 44.6 39.1 35.7 41.5 40.8 40.8 38.5 45.6 4 50.7 33.9 48.4 28.2 35.5 39.1 61.4 17.0 30.7 38.3 5 39.3 30.6 46.9 23.8 25.8

Hi R list, I would like to automate, or speed up the process from which I take several separate datasets, stored in .csv formate, import and merge them by a common variable. So far I have greatly sped up the loading process but cannot think of a way to automate the merger of all datasets into a common data.frame. My apologies if this has been covered, any R search suggestions are

I am trying to learn how to use the graphics from the lattice package ( and am very new to R). I am trying to replicate the example plot referenced below, by using the lattice xyplot & lpolygon to create panels. I get what appears to be the correct shape of the filled region, but cannot get the position to overlay properly. I have attempted with various settings of position. ( i.e.

Greetings, I have been working on a script that conducts repeated statistics and plots to my data. In this case it is sub-setting the dataframe by month. The intent is to develop a custom analysis and plotting that I can run on a large number of data sets. Unfortunately, a small portion of my subsets (~1%) cause an error with one of the wrapped subroutines that results in the whole

Hi r-users,   I have a data below but I would like to rearrange my data so that it will be in the following format: year, month, day, rain.  I also would like the data to be arranged so that it will be continues for example year 1939 it will go from january 1 to december 31 and continue with year 1940 from january 1st to 31st December and so on.  What I have now is all january for all the years

Hello, My name is Craig and I need help plotting a "line" for a multiple linear regression in R. Here is my sample data (filename: convis.txt) Output of convis.txt is (vis and density being predictors of either avoidance or entrance): vis den avoid entrance 1 10 1 0.0000 0.0000 2 10 3 0.8750 0.0000 3 8 3 0.8180 0.0300 4 8 3 0.6670 0.0667 5 8 1

Seems like my day for Rails posts... :) OK. I''ve started using Swtichtower to help with deploying changes to my production rails apps. Unfortunately I''ve come accros an inconsistency that I can''t quite figure out. It''s about the PATH env var under Bash. I''ve created a task that just does a: run "env", to show what I''m seeing:

Hello, I have the following data.frame structure(list(Study = structure(c(1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L, 15L, 16L, 17L, 18L, 19L, 1L, 2L, 3L, 4L, 5L, 6L, 7L, 8L, 9L, 10L, 11L, 12L, 13L, 14L,

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]]

I am currently running a generalized linear mixed effect model using glmer and I want to estimate how much of the variance is explained by my random factor. summary(glmer(cbind(female,male)~date+(1|dam),family=binomial,data= liz3")) Generalized linear mixed model fit by the Laplace approximation Formula: cbind(female, male) ~ date + (1 | dam) Data: liz3 AIC BIC logLik deviance 241.3

Hi list, Well, this time I’ve a doubt with mapping generation. I was already able to read and plot shapefiles, plot point on this map. All this without any problems, but now I want to do something that I think, only Golden Software Surfer is capable of. I would like to plot a kriging result on the existing map (map script below). Well I looked for on the net, but I was not able to be sure of

I am looking for a way to produce a "distribution graph" as in the example: (http://cecsweb.dartmouth.edu/release1.1/datatools/dgraph.php?year=2003&geotype=STD_HRR&event=A01_DIS&eventtype=UTIL Anybody who can help? Christian von Plessen Department of Pulmonary Medicine Haukeland university hospital Bergen Norway

Hello, First, let me say I'm an avid fan of R--it's incredibly powerful and I use it all the time. I appreciate all the hard work that the many developers have undergone. My question is: why does the paradigm of changing the type of a 1D return value to an unlisted array exist? This introduces boundary conditions where none need exist, thus making the coding harder and confusing. For

Dear R-Help community, I am trying to overlay a single contour line over a correlation plot using levelplot in the lattice package. These are the two arrays: 1) a correlation plot over Africa - so each grid square is a different colour dependent on correlation - this is in an array: result_cor with dim[465,465] 2) a single contour line from a ***different data source*** - this is from data