similar to: How to deal with missing data?

Hi, I'm dealing with wind data and I'd like to model their distribution in order to simulate data to fill-in missing values. Wind direction are typically following a vonmises distribution and wind speeds follow a weibull distribution. I'd like to build a joint distribution of directions and speeds as a VonMises-Weibull bivariate distribution. First is this a stupid question? I'm

Thanks Dimitris!!! That's much clearer now. Still have a lot of work to do this weekend to understand every bit but your code will prove very useful. Cheers, Aziz -----Original Message----- From: Dimitrios Rizopoulos [mailto:Dimitris.Rizopoulos at med.kuleuven.be] Sent: May 12, 2006 4:35 PM To: Chaouch, Aziz Subject: RE: [R] Maximum likelihood estimate of bivariate

David, Following on from Jim Lemon's suggest that polar plots might be more what you need, there are both wind rose and polar plot functions in the openair package that might be of use (particularly windRose and polarFreq). They will not do everthing you are after without some careful conditioning or extra work with latticeExtra, but could get you some of the way there. Karl Ropkins,

Hello all, My question is how do I write a multilevel regression model of individual responses to environmental predictors that accounts for social interactions between individuals. i.e.; 1) Individual response is nested within a group response. 2) The same environmental predictors apply to both hierarchical levels but, 3) Lower level slope/intercept are also affected by high-level response.

Greetings! I'm having an issue with the windrose produced by the windrose function from the circular package. For our weather stations in North Carolina I'm helping with a script which takes hourly wind speed and direction data to create windroses for our end users. One of the stations in the mountains frequently reaches wind speed of 40 to 60 mph and in storms can reach wind speed over

Hi List, I am trying to create a spatial representation of some wind data. I have the season, frequency, strength and direction of the wind from 10 different locations, the coverage of the area that I am interested in is not 100% there are small gaps in my coverage due to the location of the weather stations. I am trying to create a series of wind maps e.g. the Prevailing Winds, the maximum

Dear list users, I have to aggregate wind direction data (wd) using a function that requires also a second input variable, wind speed (ws). This is the function that I need to use: my_fun <- function(wd1, ws1){ u_component <- -ws1*sin(2*pi*wd1/360) v_component <- -ws1*cos(2*pi*wd1/360) mean_u <- mean(u_component, na.rm=T) mean_v <- mean(v_component, na.rm=T) mean_wd

?s 15:51 de 13/05/2023, Stefano Sofia escreveu: > Dear list users, > > I have to aggregate wind direction data (wd) using a function that requires also a second input variable, wind speed (ws). > > This is the function that I need to use: > > > my_fun <- function(wd1, ws1){ > > u_component <- -ws1*sin(2*pi*wd1/360) > v_component <-

Dear R-users, As noted by Paul Murrell < p.murrell at auckland.ac.nz > there is errors in the code for polar plotting I send to R-help under the title "Polar plot, circular plot (angular data)" at Thu Oct 17 2002 - 12:18:20 CEST. Thanks! I have reorganized the code into a structure ('pp'). This allows plots to be modified to a greater extent by passing arguments by ...

Hello, are there people outside who use R for analysis of wind-measurement data (meteorological or for planning of wind power stations)? Are there already scripts/modules available for analysing and displaying/plotting wind data in the way it is done in projection/planning of wind power stations? If not, would it be of interest to use R for this, and therefore adapt data-logger output to R (by

Are there any R function or packages that generate wind roses? These are ``star''-like plots that summarize the frequency, direction and magnigude of windspeeds. Thanks, Matt -- Matt Pocernich University of Colorado - Denver Department of Mathematics -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read

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

I receive the following meteo dataset regularly, containing the average daily temperatures (tMedia) of a certain month for 24 selected meteo-stations (COD_WMO) whose human-readable names are in (NOME). str(tabella) `data.frame': 1038 obs. of 4 variables: $ COD_WMO: int 16045 16045 16045 16045 16045 16045 16045 16045 16045 16045 ... $ NOME : Factor w/ 24 levels

Hi all, I'm currently programming my first complete package in S4. (thanks to Christophe Genolini for the nice introduction he wrote). I have an object "Data" with a number of slots. One of those slots is "meteo". Now "Meteo" is on itself a class with again a number of slots (like rainfall, temperature,..., you get the picture). I defined the slot

> R.version _ platform i486-pc-linux-gnu arch i486 os linux-gnu system i486, linux-gnu status major 2 minor 8.1 year 2008

A bit of a newbee to R and factor rotation I am trying to understand factor rotations and their implementation in R, particularly the GPArotation library. I have tried to reproduce some of the examples that I have found, e.g., I have taken the values from Jacksons example in "Oblimin Rotation", Encyclopedia of Biostatistics

Janice, I echo to the rhelp list, it might be useful for others. My answer is after your message. On Thu, 21 Feb 2002, Watkins, Janice wrote: > This isn't a reply that will help you solve your problem but instead a > request for information. Do you know an easy way to do a data.dump in > S-Plus that excludes the functions? What I always do is to keep copies of > the functions

Probably a stupid question, but I don't seem to be able to find the answer I'm looking for from any of the R literature. Basically I have a matrix with several thousand rows and 20 columns(weather stations) of wind direction data. I am wanting to extract a matrix which contains data for all columns conditional on column 20 having a value of _either_ less than 45 or greater than 315. (ie I

Just out of curiosity, has anyone created wind roses using R? Thanks. Tosh -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch

I am wanting to plot a series of wind vectors onto a contoured area map for a series of weather stations (eg arrows showing wind speed/direction for a particular time snapshot), can someone please advise me how best to approach this? My desired end point is to be able to link a time series of such data together so that I will in effect have a "movie" displaying the evolution of these