similar to: Range of circular data

I would like to use aggregate.ts() and apply() on circular data, but I can't figure out how to get the circular data components to pass through: library(circular) x <- circular(c(20, 30, 355, 5, 345, 25), units = "degrees") % I want to get the mean angle for each successive pair; answer should be c(25, 0, 5): aggregate.ts(x, ndeltat=2, FUN="mean.circular") Error in

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

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

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

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

I'm having trouble understanding the output from as.windrose(). For one thing, data on a boundary between sectors seem to be left out of the counts. I assume that explains the missing point in the output below (angle 45). Shouldn't one side of each sector interval be open, to include values such as my 45 in the example? Also, why does the angle 180 in my input apparently not result in

Hello, Once again, I posted a message without a subject line. Sorry.... here is the question again. Is there a simple way to modify the circ.mean function in the CircStats package to include a vector of weights to obtain a weighted average angle? Thanks! Martin -- Martin Biuw Sea Mammal Research Unit Gatty Marine Laboratory, University of St Andrews St Andrews, Fife KY16 8PA Scotland Ph:

Dear List, I have circular data comprising direction and size for a number of observations. I wish to calculate statistics such as the mean direction and concentration for these data. I note that the CircStats package only deals with angular data (i.e. "Each observation is treated as a unit vector or a point on the unit circle". There appears to be no facility for weighting

Full_Name: Allyson Williams Version: 2.1.1 OS: Windows XP Submission from: (NULL) (203.25.1.208) I'm using the 'Circular' package to plot windroses. I think the output table (see out2$table below) is incorrect when using different rotations. More precisely, when a rotation is used for the plot, the output table stuffs up. This example is from the code in the help notes, although the

Hi R-profs, Maybe my question is a little off topic. Could any one tell me how to calculate a linear-circular correlation coefficient and its p-values? I had a quick look at circular and CircStats packages and did not find the related function. Thanks for any kindly help. Xiaohua -- Xiaohua Dai, Dr. Centre for Systems Research, Durban Institute of Technology P.O.Box 953, Durban 4000, South

Dear All, Ulric Lund and me are developing a new package called 'circular' that as soon as possible will substitute 'CircStats' package. A pre-released is available at: http://www.dst.unive.it/~claudio/R/circular_0.1.tar.gz I kindly ask everybody is using CircStats to check this new package and send me comments, suggestions and bugs to claudio at unive.it and not to the list. As

Dear All, Ulric Lund and me are developing a new package called 'circular' that as soon as possible will substitute 'CircStats' package. A pre-released is available at: http://www.dst.unive.it/~claudio/R/circular_0.1.tar.gz I kindly ask everybody is using CircStats to check this new package and send me comments, suggestions and bugs to claudio at unive.it and not to the list. As

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?

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:

In conducting studies of animal orientation and displacement, I need to produce circular histograms of angles (bearings in radians 0-2pi) where the centre of the circle indicates very few observations for a given bin of angles and outwardly concentric circles indicate greater frequencies of observations for a given bin of angles. I'd like not to have to write the function myself but I

is there a way to install compass http://wiki.github.com/chriseppstein/compass on Webgen?

I require some assistance with JGR, but following the mailing list link from http://jgr.markushelbig.org/FAQ.html leads me to http://mailman.rz.uni-augsburg.de/mailman/listinfo/stats-rosuda-devel which responds with No such list stats-rosuda-devel I was previously subscribed to this mailing list and want to resubscribe, but where has it gone? Many thanks, Oliver Mannion Programmer COMPASS -

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

I have data for several rings of a left heart chamber, and which I would like to display in concentric rings, with color-encoding of the values. Each ring corresponds to one slice through the heart, and the rings correspond to positions from the base to the apex of the heart as you move from the outermost ring to the innermost one. The data have a circular pattern. These types of displays are

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 >