search for: modded

Dear r-devel list members, On a couple of occasions I've encountered the issue illustrated by the following examples: --------- snip ----------- > mod.1 <- lm(Employed ~ GNP.deflator + GNP + Unemployed + + Armed.Forces + Population + Year, data=longley) > mod.2 <- update(mod.1, . ~ . - Year + Year) > all.equal(mod.1, mod.2) [1] TRUE > > f <-

On 2016.03.06 23:25, Shao Miller via Syslinux wrote: > Having typed that, perhaps we could discuss your (or Rufus') specific > needs, in parallel? I think that is probably worthwhile, as I wouldn't mind having a second opinion from Syslinux developers on whether my current ISO -> USB conversion process could be improved. > Do I understand correctly that the primary >

For the vcdExtra package, I'm exploring methods to generate and fit collections of glm models, and handling lists of such model objects, of class "glmlist". The simplest example is fitting all k-way models, from k=0 (null model) to the model with the highest-order interaction. I'm having trouble writing a function, Kway (below) to do what is done in the example below >

On 3/3/2016 07:43, Pete Batard via Syslinux wrote: > [...] as far as I am concerned, 'A "version" such as "6.03" [is not] > enough'. [...] I'd like to help to improve Syslinux with regards to version-related concerns. Having typed that, perhaps we could discuss your (or Rufus') specific needs, in parallel? Do I understand correctly that the primary

Question: 1: What is .Mod and .Tod video? 2: How to convert .Mod and .Tod video to AVI, MPG, WMV, MPEG? Answer: 1: .Mod and .Tod videos are mainly produced by digital harddisk camcorder such as JVC camcorder and so on. It is not common video formats and can only be played on some special players. 2:Tipard Mod Converter (http://www.tipard.com/mod-converter.html)Windows and Tipard Mod Converter for

Hi R community! I've fitted three mixed-effects regression models to a thousand bootstrap samples (case-resampling regression) using the lme4 package in a custom-built for-loop. The only output I saved were the inferential statistics for my fixed and random effects. I did not save any output related to the performance to the machine learning algorithm used to fit the models (REML=FALSE).

Hello, is the following somehow possible with Mod() being a primitive: "Mod" <- function(x) UseMethod("Mod") "Mod.default" <- function(x) { .Primitive("Mod") ### I know it?s wrong. How can I access the original Mod ? } Thanks for help M. Eger -- +------------------------------------------------------- | Marcus Eger | Philipps Universitaet

Hi All, I'm trying to run the following script in R, but I'm getting a warning saying: Warning message: In if (z < 0) { : the condition has length > 1 and only the first element will be used As you can see, I'm sending a vector x to the function f without any problem. The function f calculates the y value for each x. But the function f needs to convert the x to positive

Hi All, Im interested in creating a function that will convert a variable within a data.frame to a factor while retaining the original name (yes, I know that I can just: var <-factor(var) but I need it as a function for other purposes). e.g.: # this was an attempt but fails. facts <- function(meta, mod, modname = "spec") { meta$mod <- factor(meta$mod)

I have a module having the blockaddress instruction. When I link it into another module and delete the original, blockaddress disappears and is replaced by inttoptr (i32 1 to i8*). Please compile and run the attached program to see the demo of this problem. Right after linking modules, blockaddress still exists: @switch.bbs = internal global [3 x i8*] [i8* blockaddress(@my_func,

I have a data with binary response variable, repcnd (pregnant or not) and one predictor continuous variable, svl (body size) as shown below. I did Hosmer-Lemeshow test as a goodness of fit (as suggested by a kind “R-helper” previously). To test whether the predictor (svl, or body size) has significant effect on predicting whether or not a female snake is pregnant, I used the differences between

This provides a mechanism to attach arbitrary configure options into the ssh_config file and use them from the LocalCommand and ProxyCommand. Examples: # set FOO to foo LocalEnvMod FOO = foo # append bar to FOO with default separator "," LocalEnvMod FOO += bar # unset FOO LocalEnvMod FOO = # append foo to BAR with separator ":", if BAR is empty

# Your mailer is set to "none" (default on Windows), # hence we cannot send the bug report directly from R. # Please copy the bug report (after finishing it) to # your favorite email program and send it to # # r-bugs@biostat.ku.dk # ###################################################### I stumbled on this error while doing a classroom demonstration. The error is reproducible,

I was looking at the 'R' code associated with arima. I see the following: upARIMA <- function(mod, phi, theta) { p <- length(phi) q <- length(theta) mod$phi <- phi mod$theta <- theta r <- max(p, q + 1) if (p > 0) mod$T[1:p, 1] <- phi if (r > 1) mod$Pn[1:r, 1:r] <-

When building with Clang + -Wtautological-compare and CONFIG_CPUMASK_OFFSTACK unset: arch/x86/mm/mmio-mod.c:375:6: warning: comparison of array 'downed_cpus' equal to a null pointer is always false [-Wtautological-pointer-compare] if (downed_cpus == NULL && ^~~~~~~~~~~ ~~~~ arch/x86/mm/mmio-mod.c:405:6: warning: comparison of array 'downed_cpus'

Dear R community, I've been writing simple functions for the past year and half and have come across a similar problem several times. The execution of a function within my own function produces NaN's or fails to execute as intended. My conundrum is that I can execute the function outside of my function without error, so it's difficult for me, as a novice functioneer, to figure out

Greetings, I am trying to compile a linux kernel module (currently a small part of the gpu driver) into the bitcode ".bc" format so that I can run a pass on it using the "opt" command. This pass will count the number of times copy_to/from_user() is invoked. Compiling the gnu driver kernel modules works with clang as a front end. However, I am unable to get the

Hello, I'm a complete newbie to R so sorry if this is too basic..:-S I have to modify some scripts someone else did to make it work with my data. For some reason, one of the scripts which were supposed to work is not, and I get the error message "number of items to replace is not a multiple of replacement length". The script is this one: *open_lpj_nc_gpp <-

Hola, Estoy intentando realizar un ajuste a un modelo setar con R y me surgen problemas a la hora de representar el modelo setar sin la constante. El código es el siguiente: # Estimacion TAR(2;2,2) con delta 1: mod.setar <- setar(x, m = 2, mL = 2, mH = 2, thDelay = 1) mod.setar summary(mod.setar) mod.setarc<-setar(x, m=2, mL=2, mH=2, thDelay=1, include=c("none")) ##eliminamos

Hi all, I am trying to create images in R suitable for journal publication. I'd like to make an image that is 3.6" wide and 5.08" length, and 1200 dpi. When I create a tiff file that is 800 dpi and 4x4", it works (although doesn't look good). But when I create a tiff that is the size and dpi I want, it doesn't work. I get the following error: Error in tiff(filename =