similar to: windrose color ramp issue

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,

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

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

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

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, 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

Dear R users, Since a long time now, I have the following error when I want to load the tcltk library in R 64 bit. Loading Tcl/Tk interface ...Error : .onLoad failed in loadNamespace() for 'tcltk', details: call: inDL(x, as.logical(local), as.logical(now), ...) error: unable to load shared object 'C:/Program Files/R/R-2.13.0/library/tcltk/libs/x64/tcltk.dll': LoadLibrary

Hi, There's probably some simple way of doing this, but I'm just not seeing it - How do I get the background to be white instead of grey when I have a cloud plot (using the lattices package)? par(bg="white") isn't working. I'm assuming par commands won't work on lattice plots. What should I use instead? Thanks, Adrienne [[alternative HTML version deleted]]

I am making a barplot using barplot2 from gplots where each bar represents a specific tree species. I have formatted the species names on the x-axis so that the genus name is above the species name and have then rotated the labels 45 degrees to save room. This is my code: >columncolor<-c("grey20", "grey20", "grey20", "grey70",

I am having problem loading packages in the newest version of R (2.13.0) on my Mac. I have tried to install various packages (e.g. lawstat, Rcmdr, car) and load them using the Package Installer and Package Manager menu options but I get the follow error: > library(lawstat) Loading required package: mvtnorm Error: package 'mvtnorm' could not be loaded In addition: Warning

To all, I'm working with code below to produce a map with station data plotted in points, but right now I'm having trouble with the mapping portion of this code states <- data.frame(map("state", plot=FALSE,xlim= c(-85,-75),ylim=c(33,37))[c("x","y")]) usamap<- ggplot(states)+geom_path(aes(x,y)) usamap When I plot this the problem is that the bounds of

I am making a barplot using barplot2 from gplots and would like to format the names of my categorical variables (tree species) on the x- axis so that the genus name is above the species name (to save room). My code so far is: speciesnames<-c("Dialium guianensis", "Inga alba", "Tachigali versicolor", "Brosimum utile", "Caryocar

I am trying to tweak how my categorical x-axis labels are formatted in my bar graph. Specifically, I would like to a) decrease the spacing between lines (e.g. spacing between Dialium and guianensis) b) right justify the text and c) have each species name align with the center of the corresponding bar graph. A simplified version of my code thus far is as follows. I am using RStudio v.

Greetings all, Ran into a strange problem with the krige function from geoR. The problem that I am having is that while the krige function seems to work well, the resulting predicted values are all NAs. Given the size of the datasets I am working with can't attach it, but I can provide snippets of the datasets. > casedata station year month day obs mpe bias type

Is there code in R to automatically assign letters to different groups that are found to be statistically significant using a post-hoc test following an ANOVA? For example, let's say I found that relative rates of tree growth were statistically significant between tree species using an ANOVA and then I ran a TukeyHSD post-hoc test to determine which species were statistically

Hi, I have a data frame with columns as follows: tree species (independent variable) and several dependent variables (e.g. carbon, nitrogen, phosphorus). Each row represents one tree sample. Some tree samples are unique species in the data frame while other species were replicated (i.e. rows 1,2,3 may be identical for the "tree species" column but have different values for the