similar to: path analysis and diagram (structural model)

Buenas tardes, Estoy probando a leer archivos netcdf (como raster stack) y crear animaciones de datos de modelos climáticos y estaba utilizando para generar las imágenes spplot(). Estás imágenes tienes superpuestas varias capas de imagenes, el mdt de base, nubosidad, precipitación y nieve. Mi pregunta es la siguiente,¿es posible visualizar la leyenda de cada una de las capas? Actualmente solo

Two questions: 1. Is the order of the dimensions shown what is shown if you look at str(ncin) - I mean shown at the end where it describes the variable and its dimensions? 2. Is you 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

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):

I compiled the 1.9.1 src.rpm with the standard gnu tools and it works. I tried compiling the 1.9.1 src.rpm with the Intel 8 C and FORTRAN compilers and it bombs out during the testing phase: comparing 'd-p-q-r-tests.Rout' to './d-p-q-r-tests.Rout.save' ...267c267 < df = 0.5[1] "Mean relative difference: 5.001647e-10" --- > df = 0.5[1] TRUE

Background: I administer a cluster of RedHat EWS 3U4 Linux workstations at a university. I built R 2.1.0 from source: ./configure \ --prefix=/sscc/opt/R-2.1.0 \ --with-blas=no \ 2>&1 \ | tee NUInstall.configure R is now configured for i686-pc-linux-gnu Source directory: . Installation directory: /sscc/opt/R-2.1.0 C compiler:

Hi all, Using character indexing on a vector is quite fast up through vector length of 46340, then it suddenly it gets 3 orders of magnitude slower. This is true at least of the special case in which the index vector is the complete (though possibly out-of-order) set of vector names: test <- function(n) { vec <- seq_len(n) names(vec) <- as.character(vec) ind <-

Disclaimer : Short of having local statistical expertise at hand, I'm using this list because I use R for variable selection in the context of linear multiple regression but the questions I have relate more to basic statistics than to R per se. Please redirect me to another appropriate list if such a list exists. I have the very common problem of identifying which (subset of) variables are

For example, PcaHubert, how to get the variance explained which are similar to those concepts in traditional PCA? In traditional PCA, you have a bunch of eigenvalue lambdas... and you sort the lambdas from the biggest to the smallest, the lambda_i / (sum of all lambdas) is the variance explained by that principal component... how to obtain the equivalent concepts in PcaHubert? Thanks a lot!

Dear all, I am trying to get an estimate of uncertainty surrounding a single predicted value from a beta regression model (this is similar to a logistic glm - in that it involves a link function and linear predictor - but it uses the beta distribution rather than discrete binomial). For example: library(betareg) data("GasolineYield")

Hi, I have been trying draw tickmark labels along the y - axis perpendicular to the y axis while labels along the x - axis parallel to x axis while making box plot. Here is my test dataset. TData ID Ratio 1 0 7.075 2 0 7.414 3 0 7.403 4 0 7.168 5 0 6.820 6 0 7.294 7 0 7.238 8 0 7.938 9 1 7.708 10 1 8.691 11 1 8.714 12 1 8.066 13 1 8.949 14 1 8.590 15 1 8.714 16 1

All, I've read several tutorials re: generating wireframes, but am clearly missing something. I have data along the lines of: > tbl [1:10,] Visits Activity Course.Grade 1 17 2 18.31 2 7 11 20.67 3 9 17 24.69 4 28 71 38.72 5 43 107 45.46 6 14 5 47.77 7 25 51

I am trying to install a File server using samba on a NT 4.0 domain. I will call the domain DOMAIN, the pec PDC, the samba file server SAMBA, and so on... :D The linux is an updated Fedora Core 3, and the samba version is 3.0.10-1.fc3 I used SWAT to configure. Here is some lines of my smb.conf: workgroup = DOMAIN server string = SAMBA interfaces = eth security = domain Then i looked on the

Hi all, I'm making a PCA plot with eight variables (columns taken from a larger data frame "fieldTrial0809[idx,c(39:46)]"). I then want the symbols in the plot to be colored as a gradient from red to blue, depending on the value of another column in "fieldTrial0809[idx, c(48)]" containg temperatures from -12.1 to -5.4. I don't want to use the heat.colors(n)

Hello, I am trying to filter a data set like below so that the peaks in the Phase value are more obvious and can be identified by a peak finding function following the useful advise of Carl Witthoft. I have written the following for(i in length(data$Phase)){ newphase=if(abs(data$Phase[i+1]-data$Phase[i])>6){ data$Phase[i+1] }else{data$Phase[i] } } I get the following error which I have not

I am struggling to generate p values for comparisons of levels (post-hoc tests) in a glm with a negative binomial distribution I am trying to compare cell counts on different days as grown on different media (e.g. types of cryogel) so I have 2 explanatory variables (Day and Cryogel), which are both factors, and an over-dispersed count variable (number of cells) as the response. I know that both

Dear R fans, I would like to create a scatterplot showing the relationship between 4 continuous variables. I thought of using the package "scatterplot 3d" to have a 3-dimensional plot and then using the size of the symbols to represent the 4th variable. Does anybody know how to do this? I already tried to create this graph using the colour of the symbols, but I was unable to generate

[cc'ing back to r-help: this is good etiquette so that the responses will be seen by others/ archived for future reference.] On 10-08-25 04:35 PM, Marino Taussig De Bodonia, Agnese wrote: > Yes, I meant "MuMIn" > > the global formula I introduced was: > > rc4.mod<-lm(central$hunting~ central$year + central$gender + central$hunter + central$k.score +

I'm using Firefox 3.1 nightlies in Wine as my usual browser. Downloading files always causes the creation of another file of the same name with ":Zone.Identifier" on it. This is another stream in NTFS, but of course in ext3 it can only be expressed as another file. All it contains is a note on which IE security zone the file was downloaded from. (Precis:

Hell, [quoted lines from Paul Smith]: > Precis: I?m trying to debug a problem with CentOS7 failing to install from an ISO written to a USB pendrive ? anyone got suggestions? > > What works ? installing on a modern, ?standard PC?; the pendrive image boots and installs as I expect > > What does not work ? same pendrive booting in an ATCA blade. What I?ve tried is? > > >

Hello, I'm using the following for loop to find regression curves using a list of functions (formList), a list of starting values (startList), uppervalues (upperList) and lower values (lowerList). A sample of the list of function I use in the loop is the following: FormList <- list(PTG.P ~ fz1(Portata, a, b), PTG.P ~ fz2(Portata, a, b), PTG.P ~ fz3(Portata,a, b, d, e), PTG.P ~