similar to: parent.frame(1) of a S4 method is not a calling environment.

Hello All,  I have used logistic regression glm in R and I am evaluating two models both learned with glm but with different predictors. model1 <- glm (Y ~ x4+ x5+ x6+ x7, data = dat, family = binomial(link=logit))model2 <- glm (Y~ x1 + x2 +x3 , data = dat, family = binomial(link=logit))  and I would like to compare these two models based on the prediction that I get from each model: pred1 =

Hello Everyone! Here are a couple of thought/questions on refClasses integration in R core functionality. First, coexistence with S4: > X <- setRefClass("classX", fields = c("a", "b"), + representation = list(c = "character")) > x <- X$new() > x at c <- "sss" > x An object of class "classX"

Hello, I want to ask what am I doing wrong. A few seconds after running this script my gateway freezes. I use the 2.4.1 kernel compiled on RH 7.0 system using the kgcc (egcs-1.1.2) compiler. I have two ethernet cards. The Internet interface eth1 is connected to the ISP, who shapes out traffic to 128Kbit. I would like to give the high priority to the e-mail and ssh traffic and to shape others

Hi, Sometimes, I found one of my Mellanox NIC renamed to rename6, instead of eth1. The right names of NICs in my system should be: eth0 Mellanox NIC eth1 Mellanox NIC eth2 Intel NIC eth3 Intel NIC eth4 Intel NIC eth5 Intel NIC eth0 and eth1 will combined as bond1 with mode 4. However, the current names are: eth0 Mellanox

Dear UseRs, Setting methods for groups ("compare" in this case) does not work properly. Once one method is set ,redefining it or even removing does not change the behavior: setClass("foo" ,representation(range="numeric") ) #[1] "foo" setMethod("Compare",c(e1="ANY",e2="foo"), function(e1,e2){ browser()

OK. Another amateur question. I have a list with attributes on pine trees, like the stem's location, a logical value set to T if it's alive, some parameters for growth, diameter, etc. The tree list has another list in it which is a new data type for me. I want to make a new list that retains all the live trees. That is where Living == T. Here's the summary of the list: >

Hello, I experienced a strange behaviour of callNextMethod when used in either initialize or any other S4 function method definition. Help says callNextMethod calls the next inherited method for the current function from where it is called with the same actual (non missing) arguments. This is OK. The problem appears when some formal arguments (in particular, S4 objects) of this function are

Hi everybody, I noticed a strange behavior when using loops versus apply() on a data frame. The example below "explicitly" computes a distance matrix given a dataset. When the dataset is a matrix, everything works fine. But when the dataset is a data.frame, the dist.for function written using nested loops will take a lot longer than the dist.apply ######## USING FOR ####### dist.for

Full_Name: simon wood Version: 2.2.0 (and lower) OS: linux/windows Submission from: (NULL) (86.135.153.59) I think that the documentation for the `specials' attribute of a `terms.object' is not quite right: specials: If the 'specials' argument was given to 'terms.formula' there is a 'specials' attribute, a list of vectors indicating the terms

Hello R community, I need to do some aggregation based on the test data below. The below code works ok, but when its applied to my real data which includes over 9,000 records the process runs for over an hour. I know there is a more efficient way of doing this. I want to Sum the below data's volumes where FNODE and TNODE match, i.e. FNODE=1 and TNODE =20 -> Volume=100 ,

Hello, What is the best way of solving this problem? answer <- ifelse(tf=TRUE, i * 5, previous answer) where as an initial condition tf[1] <- TRUE For example if, tf <- c(T,F,F,F,T,T,F) over i = 1 to 7 then the output of the function will be answer = 5 5 5 5 25 30 30 Thank you. Phil,

Hi all, I am trying to filter the element of a df that start with "TF", like this: alfa = c(123221,"TF13124",41243,"TF1234",32414,"TF13124","TF14333",2134123,"TF1234") beta =

Hi, I'm writing a function that needs the input names (as characterstrings) as part of the output. With deparse(substitute( ) ) that works fine, until I replace all zeros with 0.001 (log is calculated at some time): tf <- function(input) { input[input==0] <- 0.001 ; deparse(substitute(input)) } myguess <- 42 tf(myguess) # not "myguess", but "42" Now when

What is puppet doing here? Nov 17 00:02:01 gumby yum: Installed: tf-starterkit-tfel0-1.0-1.tf.noarch Nov 17 00:02:01 gumby puppetd[720]: (//Node[gumby.fr.xxx.com]/Starterkit::Setup[tfel0]/Package[tf-starterkit-tfel0]/ensure) created Nov 17 00:02:07 gumby yum: Installed: tf-jboss-server-4.2.3.GA-1.tf.noarch Nov 17 00:02:07 gumby puppetd[720]:

>>>>> Martin Maechler <maechler at stat.math.ethz.ch> >>>>> on Tue, 1 May 2018 16:14:43 +0200 writes: >>>>> G?bor Cs?rdi <csardi.gabor at gmail.com> >>>>> on Tue, 1 May 2018 12:05:32 +0000 writes: >> This is a not too old R-devel on Linux, it already fails >> in R 3.4.4, and on macOS as well.

Dear R users, please can you help me understand the behaviour of abline using function lm. I'm trying to learn linearity over groups. So I make three groups with 10 values each: test=data.frame(cbind( l=c(rnorm(10,0,30),rnorm(10,100,30),rnorm(10,200,30)), t = c(rep(0,10), rep(1,10), rep(2,10)) )) when I do: plot(test$l~test$t) abline(lm(test$l~test$t)) the abline is a straight line

Hola, Acabo de calcular tf-idf y me surge una duda. ¿Habría un valor de idf o tf-idf que se considerara como umbral para establecer que una palabra es muy común o no? Los valores de idf en mis datos van entre 0 y 3.78 y los de tf-idf ente 0 y 0.07. Un saludo El Mar, 28 de Abril de 2020, 12:53, Carlos Ortega escribió: > Hola, > Yo de primeras los quitaría para qué otros topics aparecen.

According to the Assembly language reference: "In LLVM, opaque types can eventually be resolved to any type (not just a structure type)." But the only way I can think of to do so is to give it a type name, then later redeclare the name. But that gives an error: %TO = type opaque %TF = type i32 ( %TO* ) %TO = type %TF gives: $ llvm-as types1.ll llvm-as: types1.ll:3:1: error:

Hi, I have a data frame with two columns: dt and tf. The dt column is datetime and the tf column is a temperature. dt tf 1 2009-06-20 00:53:00 73 2 2009-06-20 01:08:00 73 3 2009-06-20 01:44:00 72 4 2009-06-20 01:53:00 71 5 2009-06-20 02:07:00 72 ... I need a subset of the rows where the minutes are 53. The hour is immaterial. I can not find a wildcard

Hi Chris, Your were totally right with your suggestion. I have implemented the code that : a) does not merge multiple TokenFactor nodes in the DAGCombiner::visitTokenFactor(), if the resulting TF node would contain more than 64 operands. b) produces a bunch of TokenFactor nodes with at most 64 operands, instead of one huge TokenFactor in the SelectionDAGLowering::getRoot(). If we have n