search for: azimuths

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, 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.

...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 a count of 1 for the output for 180? The $data$theta value of 180 refers to a sector centered at 180 whose angle is 90, correct? library(oce) # azimuths <- c(22.5, 45, 90, 180, 270) # 0 and 360=north, 90=east, 180=south, 270=west angles <- c(67.5, 45, 0, 270, 180) # geometric equivalents of azimuths radians <- angles * pi /180 x <- round(cos(radians), 6) y <- round(sin(radians), 6) w <- as.windrose(x, y, dtheta = 90) # make a wi...

Hi all, I would like to know a way of calculating the distance between 2 points when I already have the longitude and latitude of the points. For example : Point 1 : 52? 9'54.00"N 4?25'8.40"E Point 2 : 52?27'46.80"N 4?33'18.00"E Distance between point 1 and point in km .... Is there any functions already available for this ? Any help will be much

Is there packaged code to convert geographical coordinates (e.g., longitude, latitude, elevation) to Cartesian coordinates in 3-space? I can see how to do this using 1. a spherical-to-Cartesian conversion like pracma::sph2cart(tpr) http://cran.r-project.org/web/packages/pracma/ 2. a geographical-to-spherical conversion. This seems to involve (in roughly increasing order of difficulty or

A non-text attachment was scrubbed... Name: not available Type: text/enriched Size: 905 bytes Desc: not available Url : https://stat.ethz.ch/pipermail/r-help/attachments/20010420/61ada248/attachment.bin

Hi all, My apologies for the confusion ... but I am re-naming this thread again because the proposal doesn't come from Ambisonia. As the founder of Ambisonia I have only been 'mediating' between some members of the ambisonic community ... so it would be wrong to associate the spec with Ambisonia. To clarify. This is what the spec proposes: - that Mapping = 1 means the contents are

On 2/28/07, Ivo Emanuel Gon?alves <justivo@gmail.com> wrote: > On 2/28/07, Ralph Giles <giles@xiph.org> wrote: > > Well, there are todo pages at wiki.xiph.org, but I meant more in the > > community folklore sense. My point is a roadmap doesn't help much unless > > there are people committed to making things happen. That's been the > > problem with a

On 2/28/07, Ivo Emanuel Gon?alves <justivo@gmail.com> wrote: > On 2/28/07, Ralph Giles <giles@xiph.org> wrote: > > Well, there are todo pages at wiki.xiph.org, but I meant more in the > > community folklore sense. My point is a roadmap doesn't help much unless > > there are people committed to making things happen. That's been the > > problem with a

I've just spent a couple of idle weekends getting a version of the S-plus 'maps' library working under R. For those unfamiliar with the maps library, it lets you map a geographical region, split into areas, and optionally colour-fill those areas according to some variable. For example: R> library(maps) R>

Hello, A few questions about the following examples: 1. Why do the two plotting versions not produce the same result? 2. Is the 'scale_x_continuous' (or *_y_* or *_*_discrete) geom the best way to setup grids (as in visual guide-lines) in polar (or for that matter, any) coordinate system? 3. Why do these commands appear to generate 3 plot pages each? 4. Perhaps more questions to follow

Hello R-helpers, What I have: I am working with vectors not matrice: #Basic equations A <-c(-20,-9,-2) x <-c(0.17,0.22,0.61) B <- crossprod(A,x) # R matrix multiplication works with vectors A%*%x==B # Is true... Question: If x is unknown and A and B are known, how do I solve for x in R? solve(A,B) won't work because A is not a square matrix solve(A,B) Error in solve.default(A,

I''m new to Ruby, Rails, and this list. I''ve tried searching for an answer but it all seems to be over my head. I have all the books but again they seem to leave me on my own to figure out the stuff that really matters. Where is the best place to find out the details? Exactly what are these much celebrated "naming conventions"; i.e. where do I find an exhaustive

> On Apr 11, 2017, at 10:25 PM, Madhur Amilkanthwar via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > I am interested in knowing more. > 1. What benchmarks does LLVM community use for compile-time study? I see CTMark, but is that the only one being analyzed? CTMark is not cast in stone. Its purpose is for the community to have a trackable proxy for the overall llvm test

Hi, Could any one point me to the projection, and parameters if necessary, that would show each country/continent with it's area accurately refelcted on the plot? E.g. aitoff vs. albers vs. bonne vs. cylequalearea vs. guyou - they don't all look the same to mee but some of the documentations suggests they are equal area? Of course this isn't my field, so I am largely guessing and am

...crantastic.org/packages/VecStatGraphs2D This package performs a 2D statistical analysis, both numerical and graphic, of a set of vectors. Since a vector has two components (module and azimuth) vector analysis is performed in three stages: modules are analyzed by means of linear statistics, azimuths are analyzed by circular statistics, and the joint analysis of modules and azimuths is done using density maps that allow detecting another distribution properties (I.e. anisotropy) and outliers. Tests and circular statistic parameters have associated a full range of graphing: histograms,...

Hi, It's been a while since I sent the last compile time report [1], where it was shown that LLVM was getting slower over time. But now I'm happy to bring some good news: finally, LLVM is getting faster, not slower :) *** Current status *** Many areas of LLVM have been examined and improved since then: InstCombine, SCEV, APInt implementation, and that resulted in almost 10% improvement