search for: varies

Hi All, I am trying to configure asterisk realtime. But i am unable to get the extensions listed successfully when i type "sip show peers" in the asterisk CLI . i am unable to see any failure logs when i do a reload i can able to connect to the data source through "odbc show" in the CLI, Any hep in this regard is highly appreciated. Following is the configuration

I am having trouble generating some of my scaffolding. I''m trying to use PostgreSQL as my back-end. Some of my scaffolding generates with no problem but for other parts I get this: Before updating scaffolding from new DB schema, try creating a table for your model The tables do exist. At least I can see them from psql. Here is the SQL I''m using to create my tables: CREATE

Dear all, I 'd like to keep the names of variables when calling them in a function. An example might help to understand my problem : The following function puts in a new data frame counts and percent of a data.frame called as "tablo" the step " nom.chiffr[1] <- names(vari) " is useless as names from the original data.frame aren't kept in the function environement.

Hi all. I have unexpected reshape results on datasets with certain variable names. Here a reproducible example: d <- matrix(seq_len(7*7), 1, 7*7) vnames <- c('acc','ppeGross','CF','ROA','DeltaSales','invTA','DeltaRevDeltaRec') varying <- unlist(lapply(vnames, paste, 1:7, sep='.')) d <- data.frame(d) names(d) <- varying

Hi all, I have created following codes : mat = cbind(c(0.000059710430,0.000023057380), c(0.000023057380, 0.00005971089)) set.seed = 1000 vary = runif(dim(mat)[1], 2000, 3000) calc = function(mat, vary) { result = vector(length = (length(vary)+1)) result[1] = sqrt(t(vary) %*% vary) for (i in 1 : length(vary)) { result[(i+1)] = sum(vary)*sum(vary*mat[,i])

The following C code : #include <stdio.h> #include <stdlib.h> int TESTE2( int parami , int paraml ,double paramd ) { int varx=0,vary; int nI =0; //varx= parami; if( parami > 0 ) { varx = parami; vary = varx + 1; } else { varx = vary + 1; vary = paraml; } varx = varx + parami + paraml; for( nI = 1 ; nI <= paraml; nI++) { varx =

hi all why does the following not work??? this was someone elses code and i couldnt explain why it doesn't work. m=matrix(c(0,0),2,1) v=matrix(c(1,0,0,1),2,2) Y=function(X1,X2,mu=m,V=v) { X=matrix(c(X1,X2),2,1) a=(1/((2*pi)*sqrt(det(V))))*exp((-0.5)*(t(X-mu)%*%solve(V)%*%(X-mu))) a[1] } x1=seq(-1,1) x2=x1 Z=outer(x1,x2,FUN="Y",mu=m,V=v) persp(x1,x2,Z) my code:

I am having trouble generating some of my scaffolding. I''m trying to use PostgreSQL as my back-end. Some of my scaffolding generates with no problem but for other parts I get this: Before updating scaffolding from new DB schema, try creating a table for your model The tables do exist. At least I can see them from psql. Here is the SQL I''m using to create my tables: CREATE

Dear Group: I want to use lattice with a formula such as y ~ x | v to plot a data frame in which v varies to indicate which "x" is really being plotted. I know how to make the x-axis scales vary with the panel but is it possible to let the x-axis label vary, i.e., to let the user specify a vector of x-axis labels? Thanks Frank -- Frank E Harrell Jr Professor and Chair School...

Dear R users, I have repeated measurements on individuals. I want to estimate the time-varying effect of a factor variable X (taking three levels), e.g. a model in the spirit of Hastie and Tibshirani (1993). I am considering using the package "mgvc" which implements generalized additive models, especially the function gamm, which estimates generalized additive mixed models, and thus,

Hello all, I am working with the dlm package, specifcially doing a dlm multivariate Y linear regression using dlmModReg and dlmFilter and dlmSmooth... I have altereted the inputs into dlmModReg to make them time-varying using JFF, JW etc. How do I track the results of the time varying system matrices? For example what I am really interested in is JW - my system variance matrix for each time

All of the tutorials and the Agile book use MySQL and I''ve got that working. I am now trying to use PostgreSQL and can''t seem to get going. Is my problem the db setup in postgresql? I have installed postgres-pr The error message when I try to access http://localhost:3000/clients when using PostgreSQL (MySQL works fine) ActiveRecord::StatementInvalid (RuntimeError: ERROR

Hi Folks, I'm trying to find a neat solution to an apparently simple problem, but one which turns out to be a bit more intricate and tricky than one might expect. Suppose I have numbers given to a large number of digits. For example 1234567021 where (though I don't know this beforehand) only the last 3 digits will be varying (and all 3 will vary). What I want is, give a vector x of

Hello, I am trying to model an intensity function with time-varying covariates. Before, I have successfully defined a log likelihood function for a Power-Law Process (lambda(t)=alpha*beta*t^(beta-1)) with two paramters and no covariates for a repairable systems with failure times (t). This function was maximized with R optim. No problem! But now I want to include a covariate indicating a

Hi, I am using the NLSY79 data (longitudinal data from the Bureau of labour stats in the US). The extractor exctracts this data in a "wide" format and I need to reshape it into a long format. What I am doing right now is to do it in chuncks for each and evry variable that is varying and then I merge the data together. This is taking a long time. my question is: How do I specify that

Greetings: I have multiple hexbin plots with varying greatest densities. Right now, the data on each plot varies from 1-256 levels of density. The problem with that is that in Plot A the data are more scattered across a 2 x 2 grid whereas in Plot B the data are more concentrated in fewer cells. Hence, Plot A has a few very dense grid cells and plot B has nothing as dense as plot A. (In Plot A the legend sho...

Guys, I have a need to support as has_many/belongs_to relationship on a legacy(kind of) schema. The reason I say kind of is that the schema does have "id" columns that are used in many associations, but this particular has_many/belongs_to association needs to support different ones. I''ve attached to code at the end of this email. Suffice it to say I need to use the standard

I'd like to estimate time varying coefficients in a linear regression using a Kalman filter. Even if the Kalman Filter seems to be available in some packages I can't figure out how to use it to estimate the coefficients. Is there anyway to do that in R? Any help appreciated Thanks

Dear All, I am a researcher doing research in plant growth and I have a statistical problem that seems to not be able to handle. Recently, I conducted an experiment about plant growing in three different nutrient-level sediments. I harvested these every three week (three harvests in all). Some growth traits of these plants were recorded (e.g. total biomass, leaf biomass and stem biomass). In

Dear all, I am trying to plot on a spatial map the punctual measurements of the data located in the file (https://opengeo.metu.edu.tr/test.csv). I'd like to have the dots in some way proportional to the magnitudes of the measurements. I have difficulties with the code given below: The dot sizes do not vary not proportionally when varying the coefficient ("0.725"). It either plots