search for: windspeed

First of all, I have GAMs noxd<-gam(newNOX~pressure+maxtemp+s(avetemp,bs="cr")+s(mintemp,bs="cr")+s(RH,bs="cr")+s(solar,bs="cr")+s(windspeed,bs="cr")+s(transport,bs="cr"),family=gaussian (link=log),groupD,methods=REML) Then I type " summary(noxd)". and show Family: gaussian Link function: log Formula: newNO2 ~ pressure + s(maxtemp, bs = "cr") + s(avetemp, bs = "cr") + s(mintem...

Hello all, I have a problem estimating Random Effects model using censReg function. small part of code: UpC <- censReg(Power ~ Windspeed, left = -Inf, right = 2000,data=PData_In,method="BHHH",nGHQ = 4) Error in maxNRCompute(fn = logLikAttr, fnOrig = fn, gradOrig = grad, hessOrig = hess, : NA in the initial gradient ...then I tried to set starting values myself and here is the error what I got: UpC <- censReg(Pow...

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 http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or &q...

Dear all, I am having difficulties using the seemingly-simple function lag. I have a dataframe with several weather variables (maxitemp, windspeed, rainfall etc), and the response variable (admissions). The dataset is fairly large (1530 observations). I simply want to model the response against a lag of a couple of the explanatory variables, say maxitemp and rainfall. I would like to look at lagtimes of 4 days, i.e. 4 observations. My datafra...

...vice open. Possibly related anomalies include the fact that you end up with a theme set for the null device: > names(lattice.theme) [1] "null device" "postscript" "pdf" which doesn't look right. The chunk <<>>= library(lattice) data(airquality) windspeed<-equal.count(airquality$Wind, 4) temperature<-equal.count(airquality$Temp, 4) print(xyplot(Ozone~Solar.R|windspeed*temperature, data=airquality, col="darkred")) @ works fine, so I think the problem is related to using trellis.par.get before setting a trellis device. -thomas

...I am using the same variables for both parts of the model, can anyone help me with R code to compute overall marginal effects of each variable? My model is specified as follows: ZINB <- zeroinfl(Tot.Anglers ~ Location + Season + Daytype + Holiday.not + CPUE + ShoreType + Access + Source.pop + WindSpeed + offset(beat_length), dist="negbin", data=anglers) Many thanks, Jeremy [[alternative HTML version deleted]]

I have a 2 by 226200 table, conveniently read in by read.table(), which exhibits some strange behavior when plotted by plot(V1,V2). The general pattern for the range of windspeeds, [0<V1<50] is as expected -- the wind gust falls in the interval [V1<V2<65] except for certain values of V2. For V2 == c(15,26,37,48,59), the V2 values are positioned at one-tenth of the V1 (i.e., as if I had issued the command plot(0.1*V1,V2) for just those values of V2 -- see att...

...one, but possibly multiple, variance structures, and I am starting by applying varPower to my temperature covariate. (Efuscus is my square root transformed response variable). Here is the code I have for the gamm: K1 <-(efuscus~s(mic, k=7) +temp +s(date)+s(For3k, k=7) + pressure+ humidity+ windspeed + year) M17.4A <-gamm(K1, method="REML", family=negbin(c(1,10), data=efuscus, weights=varPower(form=~temp)) With my various versions of the script, the two error messages I have been getting repeatedly are: Error in eval(expr, envir, enclos) : object 'temp' not found, and Er...

..., but I figured just having a week column may be easier. If someone wanted to show me how to organize this data using a date function and aggregating by month that would be useful too! Here's an example of the data set, with only 5 of the variables and 10 of 8600 obs.: week rainfall windspeed winddir temp oakdepth 1 1 0.20000000 0.89000 245.9200 1.150000 4.400000 2 1 0.00000000 0.84000 292.8800 1.190000 5.300000 3 1 0.20000000 0.74000 258.5400 1.360000 6.000000 4 1 0.00000000 0.93000 3.7000 1.430000 4.400000 5 1 0.200...

I have a series of nertCDF files containing global data for a particular variable, e.g. tmin/tmax/precipiation/windspeed/relative humuidity/radiation etc. I get the following information when using *nc_open* function in R: datafile: https://www.dropbox.com/s/xpo7zklcmtm3g5r/gfdl_preci.nc?dl=0 File gfdl_preci.nc (NC_FORMAT_NETCDF4_CLASSIC): 1 variables (excluding dimension variables): float prAdjust[lon,lat...

...ou problem how to subset the netcdf file, how to write to the .csv file, or both? -Roy > On Aug 28, 2017, at 2:21 PM, Eeusha Nafi <eshad002 at gmail.com> wrote: > > I have a series of nertCDF files containing global data for a particular > variable, e.g. tmin/tmax/precipiation/windspeed/relative > humuidity/radiation etc. I get the following information when using > *nc_open* function in R: > > datafile: https://www.dropbox.com/s/xpo7zklcmtm3g5r/gfdl_preci.nc?dl=0 > > File gfdl_preci.nc (NC_FORMAT_NETCDF4_CLASSIC): > > 1 variables (excluding dimension va...

Hello everyone, This is Kangmin. I am trying to produce shape and scale of my wind data. My data is based on wind speed frequency with 1km/hr increment. data is described below. Windspeed (km/h) Frequency 1 351 2 147 3 317 4 378 5 527 6 667 7 865 8 970 9 987 10 907 11 905 12 642 13 1000 14 983 15 847 16 842 17 757 18 698 19 632 20 626 21 599 22 529 23 325 24 391 25 356 26 267 27 230 28 223 29 190 30 142 31 124 32 104 33 97 34 37 35 62 36 46 37...

I have 5 GAMs ( model1, model2, model3, model4 and model5) Before I use some data X(predictor -January to June data) to form a equation and calculate the expected value of Y (predictand -January to June). After variable selection, GAMs (Model 1)were bulit up! R-square :0.40 NOW, I want to use new X'( predictor -July - December data) and put into Model 1, then get the expected value of Y'

I'm writing a program that will tell me whether I should wear a coat, so I'd like to be able to download daily weather forecasts and daily reports of recent past weather conditions. The NOAA has very promising tabular forecasts (http://forecast.weather.gov/MapClick.php?CityName=Ithaca&state=NY&site=BGM&textField1=42.4422&textField2=-76.5002&e=0&FcstType=digital),

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

I have a two part question one about statistical theory and the other about implementations in R. Thank you for all help in advance. (1) Am I correct in understanding that Heteroscedasticity is a problem for Generalized Additive Models as it is for standard linear models? I am asking particularly about the GAMs as implemented in the mgcv package. Based upon my online search it seems that some