search for: windroses

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 80 mph. This has brought up an issue with the color ramp. Currently the color ramp works one of two ways: #1) Holding the pedal colors fixed: incrspeeds...

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

Hi All - I have been using the windrose function found in the circular library to create great looking windroses.  But the dashed, circular percent interval lines that indicate the frequency at which each "pedal" occurs are not evenly spaced (the corresponding parameter is "cir.ind").  That is, the 5% interval closest to the heart of the windrose is wider than the 5-10 chuck, which inturn...

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 input data (dir, mag) are changed): > dir <- c(1:50,1...

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, i am new to R and want to use it for a small project to draw a wind data from a microclimate datasource, can someone give me an example of how i can represent this in a neat way? for example, i have: speed, direction 0.3,NNE 0.45,NNE 0.32,NE 0.28,N 0.30,NE how do i put this data to get a windrose graph? many thanks norman -- %>>> "".join( [

Dear R Gurus, I spent some time in looking for help but didn't find a way to do what I want. I do have a vector (in Degrees) containing of 360 elements, one element per degree on a circle. The data is dimensionless and in the range of -0.2 to 0.5. An Example: Wind Dir [degrees], Value 1, 0.1 2 , 0.3 3 , 0.01 .,. .,. 180,-0.01 181,-0.2 .,. .,. .,. 359,.0.3 360,.0.5 Now I want to have

Dear list, I trying to make a wind rose plot whit the command oz.windrose, from plotrix package. My data, a matrix of percentages with the rows representing speed ranges and the columns indicating wind directions was generated using bin.wind.records command from same package: [,1] [,2] [,3] [,4] [,5] [,6] [,7] [1,] 0.4405286 0.0000000 0.1468429 0.4405286 0.4405286

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

Hello Friends!!! I would want draw a circular histogram, and I would like draw a polygon with a circular side. This is easy if I use the functions polygon and arc, but I want that the polygon with a circular side have background colour. The polygon created with function polygon can have background colour, but the surface created with function arc can?t have background colour. How I could create a

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,

Dear R-user I used lme to fit a linear mixed model inlcuding weights=varPower(). Additionally I wanted to use glht to calculate Tukey-Kramer multiple comparision. error: > glht(modelF, linfct=mcp(Species="Tukey")) Error in glht.matrix(model = list(modelStruct = list(reStruct = list(SubPlot = -0.305856275920955, : ?ncol(linfct)? is not equal to ?length(coef(model))? >