similar to: understanding print.summary.lm and perhaps print/show in general

I've defined the following for objects of a class called jml summary.jml <- function(object, ...){ tab <- cbind(Estimate = coef(object), StdError = object$se, Infit = object$Infit, Outfit = object$Outfit) res <- list(call = object$call, coefficients = tab, N = nrow(object$Data), iter = object$Iterations) class(res) <- "summary.jml" res }

Hello everyone, I'm trying to estimate the parameters of the returns series attached using the GARCH code below, but I get the following error message: Error in solve.default(Hessian) : system is computationally singular: reciprocal condition number = 0 Error in diag(solve(Hessian)) : error in evaluating the argument 'x' in selecting a method for function 'diag' Can

Gracias, Jorge. Y cual fue la solucion a la que llegaron? --JIV Sent from my phone. Please excuse my brevity and misspelling. On Aug 25, 2013, at 8:36 AM, Jorge Ayuso Rejas <jayusor@gmail.com> wrote: Esto lo hice yo en una práctica en la universidad, Definíamos un problema de optimización entera minimizando el error de redondeo y restringiendo a la suma de filas y columnas. El 23 de

Hello, $ objdump -h # displays info about all below sections.... Sections: Idx Name Size VMA LMA File off Algn While, $ llvm-objdump -h # only displays subset of info... Sections: Idx Name Size Address Type Using '--show-lma' could get VMA and LMA details. Can you suggest options to print 'File off' and

I am working with some survival data with missing values. I am using the mice package to do multiple imputation. I have found code in this thread which handles pooling of the MI results: https://stat.ethz.ch/pipermail/r-help/2007-May/132180.html Now I would like to plot a survival curve using the pooled results. Here is a reproducible example: require(survival) require(mice) set.seed(2) dt

Hello, I need a shorter summary.lm, instead of -------------------------------------------- Call: lm(formula = E$t ~ E$cfs) Residuals: Min 1Q Median 3Q Max -0.239674 -0.007694 0.006430 0.014330 2.496551 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) -1.994e-02 1.419e-04 -140.5 <2e-16 *** E$cfs 1.675e-05

Thanks James it seems worked for me :) I am facing some issues in login into bugs.llvm.org, I will file once I get access. Pls feel free if you have login :) Thank you again. From: James Henderson <jh7370.2008 at my.bristol.ac.uk> Sent: Wednesday, July 8, 2020 1:58 PM To: Oza, Hiral <Hiral.Oza at netapp.com> Cc: llvm-dev at lists.llvm.org Subject: Re: [llvm-dev] llvm-objdump print

>>>>> Shu Fai Cheung >>>>> on Thu, 6 Jul 2023 17:14:27 +0800 writes: > Hi All, > I would like to ask two questions about printCoefmat(). Good... this function, originally named print.coefmat(), is 25 years old (in R) now: -------------------------------------------------------------------- r1902 | maechler | 1998-08-14 19:19:05 +0200 (Fri,

Hi All, I would like to ask two questions about printCoefmat(). First, I found a behavior of printCoefmat() that looks strange to me, but I am not sure whether this is an intended behavior: ``` r set.seed(5689417) n <- 10000 x1 <- rnorm(n) x2 <- rnorm(n) y <- .5 * x1 + .6 * x2 + rnorm(n, -0.0002366, .2) dat <- data.frame(x1, x2, y) out <- lm(y ~ x1 + x2, dat) out_summary <-

Hi List, My goal is to force R not to print in scientific notation in the sixth column (rel_diff - for the p-value) of my data frame (not a matrix). I have used the format.pval () and printCoefmat () functions on the data frame. The R script is appended below. This issue is that use of the format.pval () and printCoefmat () functions on the data frame gives me the desired results, but coerces

Hi, how do I create a coef.table as for example returned by summary.glm? I don't see where the significance codes are assigned during summary.glm. Thank you, Benjamin

Hello all, I have a *.csv file that looks like this (actual file is orders of magnitude larger): Site taxa no.ind forest LMA 1 forest LCY 1 forest SCO 1 meadow LMA 2 meadow LCY 1 meadow PNT

I want to print the coefficient estimates of a model in a way as consistent with other output in R as possible. stats provides the printCoefmat function for doing this, but there is one problem. I have an additional piece of textual information I want to put on the line with the other info on each coefficient. The documentation for printCoefmat says the first argument must be numeric, which

Hi, R-users, I have a problem: Because there are few files which can't be readed into R completely, so on the following subsequence programme, I use write.table, which creates the "NA" files for those incomplete files autimatically. I don't want those NA files. My programes formats looks like: name_c<-Sys.glob("C:/Documents and Settings/lma/My

printCoefmat(signif.legend =FALSE) does not work properly. The option "signif.legend = FALSE" is ignored as shown in the example below. cmat <- cbind(rnorm(3, 10), sqrt(rchisq(3, 12))) cmat <- cbind(cmat, cmat[,1]/cmat[,2]) cmat <- cbind(cmat, 2*pnorm(-cmat[,3])) colnames(cmat) <- c("Estimate", "Std.Err", "Z value", "Pr(>z)") #

Hola comunidad, Les consulto mi duda. Quisiera generar N números aleatorios tal que su suma esté predeterminada a un valor k. Sé que con la distribución Dirichlet, por ejemplo, se podrían obtener números aleatorios tal que su suma es la unidad. Por ejemplo MCMCpack::rdirichlet(1,rep(10,7)) genera 7 números tal que su suma es 1 (el parámetro rep(10,7) es cualquier cosa). Pero me pregunto si se

I was hoping that there might be some way to attach significance code like the ones from summary.lm to a dataframe. Anyone know how to do something like that. Here is the function i'd like to add that functionality to: add1.coef <- function(model,scope,test="F",p.value=1,order.by.p=FALSE) { num <- length(model$coefficients) add <- add1(model,scope,test=test) sub <-

Dear R-users, I have a problem: I have many files in the directory:"C:/Documents and Settings/lma/Desktop/FamilyAEntrepreneurs/Entrepreneurs/Juha" I want to copy those files into the new directory: "C:/Documents and Settings/lma/My Documents/Juha/book" (<-use "paste"), I first create the directory using dir.create, but it looks doesnt work. How do I implement

HI, All R users, My problem is: > fn [1] "C:/Documents and Settings/lma/Desktop/FamilyAEntrepreneurs/Entrepreneurs/Juha/book_log-20041210T095019.txt" > dpath [1] "C:/Documents and Settings/lma/My Documents/Juha/book" I want to make a function "cyfun" to copy all files in "dir" to "deskdir" but I always got the following problem: Error

Buenas tengo una matriz de contingencia de 5x4 donde en la última fila y última columna tengo las frecuencias marginales, en función de estas quiero sacar las esperadas, pero cuando hago por ejemplo el producto,, Esperadas<-Estrategia["Suma",]*Estrategia[,"Suma_e"] E1 E2 E3 E4 Suma 5550 14160 52650 89600 20720 Warning message: In Estrategia["Suma", ]