similar to: Weighted circular mean

Hello I will make an interpolation of data which represents azimuth direction ( angle from north in clockwise direction) values. But there is a problem. Say, for instance, while 1 and 359 indicate somewhat same direction, interpolation puts values in the range from 1 to 359. What can I do to solve the problem ? Anything you offer ? thanks in advance Ahmet Temiz General Directory of

Hello all, Does anyone know of any already written functions for carrying out stochastic dynamic programming in R? Thanks! Martin -- Martin Biuw Sea Mammal Research Unit Gatty Marine Laboratory, University of St Andrews St Andrews, Fife KY16 8PA Scotland Ph: +44-(0)1334-462637 Fax: +44-(0)1334-462632 Web: http://smub.st.and.ac.uk

circ.plot in CircStats under R 1.8.0 yields incorrect plots (easily compare hist() and rose.diag()). However, the code in circ.plot has not changed. Has anyone tracked this down yet?

Hello, I''m trying to fit a linear mixed effects model of the form: lme(y ~ x * Sex * Year, random=x|subject) where Sex and Year are factors with two and three levels respectively. I want to compare the fixed effects for each level to the overall mean, but the default in R is to compare to the first level. This can be changed by adding the term -1 to the righthand side of the model

Hello, I am quite new to R and although I have read some material (apparently not enough) I'm getting very frustrated. I'm trying to do some simple circular statistics in R (CircStats, primarily circ.mean) and I'm confused about the results. What is a negative radian or degree mean in R? I thought it would be a coterminal angle, but that doesn't make sense with my data

Hi, i found a bug in circ.plot of CircStats package, namely that the plot ingore the datasets with value = 0. it's simple to fix it, but i cannot seem to figure out where to submit the fix. is there a official procedure of submitting bug report/patch to the contributed packages? -- View this message in context:

Hi, I've currently to work with some circular data. Unfortunately I'm not very familiar with circular statistics and would really appreciate if I could get some help concerning the CircStats package this way. My data lies in the range 0 to 2*pi, and is transformed to radians (as expected by the CircStats methods). Calculating the mean direction (circ.mean) results for some datasets in a

it seems that word can not read encapsupalted postscripts generated by R I used this command postscript("output.eps",horizontal=F,onefile=TRUE) since onefile=TRUE produces an encapsualted postscript actually what I'm trying to do is to insert the postsript file into a word document since other formats like jpeg and bmp do not reproduce the same quality like postscript formats any

Hi, I try to compute circular means for a matrix with NAs, but the function "circ.mean" return only means for lines with complete values and do not accept "na.omit=T" or "na.rm=T", or "na.action=na.omit", or "na.fail=T". Also, I try to use "polar.plot" of the package poltrix with the same matrix, but angles are not display because of

Hi, Is there a function in R to calculate the nth root, similar to the MATLAB function NTHROOT()? Thanks, Martin Biuw [[alternative HTML version deleted]]

I have a problem that deals with correlating wind velocity to seed collection data. The problem lies in that I have a wind data set that is contains 2000+ data points and weed collection data on the order of a couple hundred. Both data sets were collected for the same time period, but there is not a one-to-one wind velocity->seed location match. My understanding of correlation is that you

Hola a todos, es la primera vez que escribo a la lista, espero explicarme correctamente. Trabajo en cronobiología de mamíferos y quiero comenzar a analizar mis datos con R (haciendo análisis de varianza ya llevo unos años en el entorno). Me interesa saber si cada una de mis variables podría ajustarse a una función sinusoidal; tengo medidas cada dos horas para cada una. Querría extraer el mesor y

Hello everyone, I'm stumped. I'd like to create a scatterplot matrix with circular reference lines. Here is an example in 2d: library(ellipse) set.seed(1) dat <- matrix(rnorm(300), ncol = 3) colnames(dat) <- c("X1", "X2", "X3") dat <- as.data.frame(dat) grps <- factor(rep(letters[1:4], 25)) panel.circ <- function(x, y, ...) { circ1

Dear all, After going through the Lattice doc and R-help list and google, I got the feeling that there is no function in lattice or other package to compute a pie chart object of class "trellis". Although pie charts are obviously not considered optimal even in the pie() doc ;-) , pie chart trellis objects would be easy positioned e.g. over a map drawn with the grids package. Can

Hello all, I am trying to use xyplot to give a six panel plot and to highlight only points (in any panel) that meet a certain criterion. With the plot command I would do something like: plot.default(filein$Site,filein$circ.conc) points(filein$Site,filein$circ.conc,type="p", pch=ifelse(filein$p.value<5e-02,19,21)) I had thought I could just stick in the pch line from above into

Hi, Sorry if this is an obvious one, but is there a simple way to modify the lm function to test whether a slope coefficient is significantly different from 1 instead of different from 0? Thanks, Martin Martin Biuw SEA MAMMAL RESEARCH UNIT Gatty Marine Laboratory School of Environmental and Evolutionary Biology University of St Andrews Fife, Scotland KY16 8LB UK phone +44 (0)1334 462630 fax

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 >

Hello, I'm using the nls function and would like to increase the number of iterations. According to the documentation as well as other postings on R-help, I've tried to do this using the "control" argument: nls(y ~ SSfpl(x, A, B, xmid, scal), data=my.data, control=nls.control(maxiter=200)) but no matter how much I increase "maxiter", I get the following error

Hi the following gave me a shock: > atan(2) [1] 1.107149 > atan(2+0i) [1] -0.4636476+0i > or, perhaps more of a gotcha: > atan(1.0001+0i) [1] -0.7853482+0i > atan(0.9999+0i) [1] 0.7853482+0i > evidently atan()'s branch cuts aren't where I thought they were. Where do I look for documentation on this? -- Robin Hankin Uncertainty Analyst National

I have a set of data that is distributed normally. How can I transform this data to fit an ArcTan distribution? [[alternative HTML version deleted]]