search for: broome

Hello, I've problems installing several packages in my R on Fedora 27 64 bit. I found out that it has to do something with a missing compiler (libgfortran.so.3, see below). It works if I downgrade the current version of libgfortran to the specified version by downloading libgfortran-6.2.1-2.fc25.x86_64.rpm and manually installing it. However, I don't want to mess up my system,

I'm sorry I haven't boiled this down to a more-minimal example yet, but ... I'm working on an S3 method (tidy.merMod, in the 'broom' package). It normally handles 'merMod' objects from the lme4 package, but I'm trying to make it handle 'merModLmerTest' objects from the lmerTest package too. The merModLmerTest class inherits (as an S4) class from the

Hi, Let's say one has an object with multiple classes, and a generic function to apply to it has associated S3 methods for more than one of those classes. Further, the method it chooses (I do not know how; some order in the class vector?) is not the suitable one and it produces an error. Would there be some way to make the generic function to choice the correct method, or in case that for

Oliver gracias por le pista! Es un poco mas complicado, el código tiene varios pasos incluidos calculo de nuevas variables con los betas del glm y otras vueltas. Necesitaría una sentencia que tome cada lote haga los cálculos por separado y luego los une en el dataframe de salida El 30 de mayo de 2016, 10:02, Olivier Nuñez <onunez en unex.es> escribió: > Mira lapply .... > > Si L=

>>>>> Ben Bolker <bbolker at gmail.com> >>>>> on Fri, 15 Jul 2016 16:45:50 -0400 writes: > I'm sorry I haven't boiled this down to a more-minimal example yet, > but ... > I'm working on an S3 method (tidy.merMod, in the 'broom' package). It > normally handles 'merMod' objects from the lme4 package,

Carlos, capaz no me explique bien, va de nuevo... Tengo un dataFrame con varias variables que describen Lotes (127), he creado un código que calcula nuevas variables, re codifica otras y ordenas otras tantas. Es muy laborioso correr ese código 127 veces por lo cual quería hacer un sentencia (del tipo if() o repeat()), para obtener al final todos los lotes procesados. Saludos y gracias por tan

Dear Iago, The R S3 object system works as expected here, using the first available method processing the class vector from left to right. The problem is that the broom package doesn't export the confint.geeglm() method but rather reserves it for internal use. I can't think why the package authors chose to do that but you could ask them. The following therefore works (following on with

The model should be class aov or lm and my model class is aovlist. tried tidy from broom library but did not work. To make it class aov, I had to remove the error term; model <- aov(Rotationdata_R$`GY(Mg/ha)`~Rep+code*as.factor(Nitrogen),data=Rotationdata_R) Ahmed Attia, Ph.D. Agronomist & Soil Scientist On Mon, Dec 25, 2017 at 7:38 PM, David Winsemius <dwinsemius at

...svyglm(formula=F3ATTAINB~F1PARED,family="quasibinomial",design=subset(elsq1ch_brr,BYSCTRL==1&G10COHRT==1&F1RTRCC=="Other"),na.action=na.omit) summary(Othpared)? Any help in resolving this concern would be greatly appreciated. Sincerely, Courtney Courtney Benjamin Broome-Tioga BOCES Automotive Technology II Teacher Located at Gault Toyota Doctoral Candidate-Educational Theory & Practice State University of New York at Binghamton cbenjami at btboces.org<mailto:cbenjami at btboces.org> 607-763-8633 [[alternative HTML version deleted]]

...rks OK with a simple, non-time-series scatterplot, as in sss <- data.frame(x = rpois(12, lambda = 8), y = rnorm(12, mean = 100, sd = 25)) with(sss, plot(y ~ x, col = ifelse(y > 100, "black", "red"))) ## but I am missing something about time series. Thanks. --Chris Ryan Broome County Health Department and Binghamton University Binghamton, NY [[alternative HTML version deleted]]

I have a dataframe that looks like this: > str(chr) 'data.frame': 84 obs. of 7 variables: $ county: Factor w/ 3 levels "Broome","Nassau",..: 3 3 3 3 3 3 3 3 3 3 ... $ item : Factor w/ 28 levels "Access to healthy foods",..: 21 19 20 18 16 3 2 6 17 8 ... $ value : num 8644 15 3.5 3.9 7.7 ... $ low : num 7897 9 2.5 2.6 7 ... $ high : num 9390 22 4.5 5.2 8.4 37 30 23 24 101 ... $ target: n...

Buenas tardes, Quisiera obtener el intervalo de confianza (y también intervalos de predicción) para los valores predichos en un modelo nls. ¿Hay alguna manera que no sea por ggplot2 (me interesaría obtener el valor listado -además de en el gráfico-) o por bootstrap? Os copio el código del ajuste del modelo y predicción para los 3 días siguientes: *#Ajuste del modelo* model = nls(formula =

...; ,design=subset(elsq1ch_brr,BYSCTRL==1&G10COHRT==1& > F1RTRCC=="Other"),na.action=na.omit) > summary(Othpared)? > > > Any help in resolving this concern would be greatly appreciated. > > Sincerely, > > Courtney > > > Courtney Benjamin > > Broome-Tioga BOCES > > Automotive Technology II Teacher > > Located at Gault Toyota > > Doctoral Candidate-Educational Theory & Practice > > State University of New York at Binghamton > > cbenjami at btboces.org<mailto:cbenjami at btboces.org> > > 607-763-8633...

I'm running Ubuntu 17.04 and R 3.4.1. I installed the latter yesterday, so I presume it's the latest version. I want to install Tidyverse, which I've spent many happy hours with under Windows. But when I do install.packages("tidyverse") , I get errors about unrecognized command line options to gcc. These start when the install hits the colorspace and munsell packages.

> On Dec 25, 2017, at 2:09 PM, Ahmed Attia <ahmedatia80 at gmail.com> wrote: > > The model should be class aov or lm and my model class is aovlist. > tried tidy from broom library but did not work. To make it class aov, > I had to remove the error term; > > model <- aov(Rotationdata_R$`GY(Mg/ha)`~Rep+code*as.factor(Nitrogen),data=Rotationdata_R) You seemed to have

...s(12, lambda = 8), y = rnorm(12, mean = 100, sd >> = >> 25)) >> with(sss, plot(y ~ x, col = ifelse(y > 100, "black", "red"))) >> >> ## but I am missing something about time series. >> >> Thanks. >> >> --Chris Ryan >> Broome County Health Department >> and Binghamton University >> Binghamton, NY >> >> [[alternative HTML version deleted]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >>...

Apologies, I thought I was following exactly that sentence and trying to make a minimal post that would waste as little developer bandwidth as possible given the lack of a better system. Anyway, I have been using R for like forever (20 years). In my current project, I have run into problems with stack overflows in R's dendrogram code when trying to use either str() or as.hclust() on very

...as in > > sss <- data.frame(x = rpois(12, lambda = 8), y = rnorm(12, mean = 100, sd = > 25)) > with(sss, plot(y ~ x, col = ifelse(y > 100, "black", "red"))) > > ## but I am missing something about time series. > > Thanks. > > --Chris Ryan > Broome County Health Department > and Binghamton University > Binghamton, NY > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/lis...

Full thread here: https://github.com/tidyverse/broom/issues/287 Reproducible example: is.object(freeny$y) # [1] TRUE attr(freeny$y, 'class') # [1] "ts" class(freeny$y) # [1] "ts" # ts attribute wiped by model.frame class(model.frame(y ~ ., data = freeny)$y) # [1] "numeric" attr(model.frame(y ~ ., data = freeny)$y, 'class') # NULL # but still:

Please add me to R bugzilla. Thanks, Bradley [[alternative HTML version deleted]]