similar to: newbie question on str output

Hi list, In the object returned by summary.nlsList, what's the difference between "coefficients" and "parameters"? The have the same "Estimate", different se (therefore t value), but same p values. R.2.8.0 on winxp with nlme_3.1-89 Thanks, ...Tao +++++++++++++++++++++++++++++++++++++++++++++++++ > library(nlme) > fm1 <- nlsList(uptake ~

Hello, Using R-devel (rev 53950), I get inconsistent results with as.environment( VECSXP ) when gctorture is on. Consider: a <- list( aa = rnorm, bb = runif ) gctorture(TRUE) as.environment( a ) The last line sometimes produces the correct environment, but sometimes I get errors. Here are the three situations: # good > as.environment( a ) <environment: 0x100b1c978> # not good

I'd like to propose a change to the R language so that calling 'parent.env<-' on a package namespace or package imports is a runtime error. Currently the documentation warns that it's dangerous behaviour and might go away: The replacement function ?parent.env<-? is extremely dangerous as it can be used to destructively change environments in ways that violate

Hi, I'm very new to R and absolutely love it. Does anyone know how to use something in R that functions like a BY command in SAS? For example, let's say you have a variable x, and you want to see the mean. Easy... > mean(x) But what if you want to see the mean of x conditional on another discrete variable? My best attempts so far are something like... > mean(x, y_cat=1)

My understanding is that R will not make copies of lists if there is only one reference to the object. However, I've encountered a case where R does make copies, even though (I think) there should be only one reference to the object. I hope that someone could shed some light on why this is happening. I'll start with a simple example. Below, x is a list with one element, and changing that

On Fri, 5 Aug 2016, Winston Chang wrote: > My understanding is that R will not make copies of lists if there is > only one reference to the object. However, I've encountered a case > where R does make copies, even though (I think) there should be only > one reference to the object. I hope that someone could shed some light > on why this is happening. > > I'll start

I maintain the package affylmGUI. It works when installed on many previous versions of R. I have today tested exactly the same code under R-2.15.3, R-3.0.2, R-3.1.0, R-3.1.1, R-3.1.2 and R-devel. I have also tested the versions of affylmGUI downloaded by biocLite for each version of R and the same result applies. I have no errors under 2.15.3, 3.0.2, 3.1.0 and 3.1.1. The following error

Seems unlikely that that particular bug is involved. I seem to recall some change related to inadvertent variable capture in .TkRoot$env (?). At any rate, we currently have > parent.env(.TkRoot$env) <environment: R_EmptyEnv> which used to be > parent.env(.TkRoot$env) <environment: R_GlobalEnv> as a result, this won't work any more because R_EmptyEnv has no operators and

Thanks Peter and Dan for your replies. After learning a bit more about tcltk and environments etc. I have replaced Try(n <- evalq(TclVarCount <- TclVarCount + 1, .TkRoot$env)) with Try(n <- .TkRoot$env$TclVarCount <- .TkRoot$env$TclVarCount +1L) as you suggest. It now works for both R-3.1.1 and R-3.1.2+ (My understanding is that the Try function is there to put a GUI box

Dear r-devel, I was surprised to see that saveRDS() and readRDS() work quite well with environments, see below: ``` z <- 3 # in global env y <- new.env() y$a <- 1 x <- new.env(parent = y) x$b <- 2 saveRDS(x, "x.RDS") # in a new session x <- readRDS("x.RDS") y <- parent.env(x) x$b #> [1] 2 y$a #> [1] 1 parent.env(y) #> <environment:

On Tue, Jan 11, 2011 at 2:41 PM, Romain Francois <romain@r-enthusiasts.com>wrote: > Le 11/01/11 19:57, Romain Francois a écrit : > > Le 11/01/11 19:46, Douglas Bates a écrit : >> >>> On Tue, Jan 11, 2011 at 12:27 PM, Dominick >>> Samperi<djsamperi@gmail.com> wrote: >>> >>>> >>>> >>>> On Tue, Jan 11, 2011 at

Hello: I am new on R, this is the first time I work with it, I am trying to run some R example to get learn of them, but, I have a problem when running the example below: http://stat.ethz.ch/R-manual/R-patched/library/datasets/html/zCO2.html CO2.Qn1 <- CO2[CO2$Plant == "Qn1", ] SSasympOff(CO2.Qn1$conc, 32, -4, 43) # response only Asym <- 32; lrc <- -4; c0 <- 43

Help! I am unsure if I can analyze data from the following experiment. Fish were placed in a tank at (t=0) Measurements of Carbon Dioxide were taken each day for 120 days (t=0,...120) A few fish were then randomly pulled out of the tank at different days, killed and examined for the presence of a disease T= time of examination in days from start (i.e. 85th day), E = 0/1 for nonevent/event My

Dear list: I'm using bwplot to compare concentrations by location and treatment as in: # using built in data bwplot( conc ~ Type : Treatment, data = CO2 ) I would like the order of the plots to be: 3,4,1,2. I can't seem to figure this out with index.cond or permc.cond. Any help is appreciated! Brad Eck [[alternative HTML version deleted]]

Hi, I just started a new course this semester on R, I never used it in my life and i'm stuck on these questions from 3 days, it would be really nice if someone could explain me the answers with the relative commands. thanks a lot in advance The following 7 questions are based on the CO2 dataset of R. 1) How many of the plants in CO2 are Mc2 for Plant? 2) How many are either Mc2 or Mn2?

Hello all, I have a data frame with year, month, species, fishing gear and catch (Y, M, S, F, C) and I want the sum of C by Y for species "A" and fishing gear "trawl". I tried things like aggregate(C[S=="A" & F=="trawl"], list (Year = Y[S=="A" & F=="trawl"]), fun=sum), but it didn't worked. To overcome this problem I did

HI, Using c11<- 0.01 c12<- 0.01 c1<- 0.10 c2<- 0.10 One possible problem is that: dim(res5) #[1] 513? 20 res6<-aggregate(.~m1+n1+m+n,data=res5[,c(1:6,9:12,21:24)] ,max) #Error in `[.data.frame`(res5, , c(1:6, 9:12, 21:24)) : ?# undefined columns selected A.K. ________________________________ From: Joanna Zhang <zjoanna2013 at gmail.com> To: arun <smartpink111 at

Dear r-helpers, After successfully running require(nlme) vfr.lmL <- lmList( estimate ~ (slant + respType + visField + hand)^2 | subject, vfr ) pairs(vfr.lmL, id = 0.01, adj = -0.5) # Pinheiro & Bates (p. 141) produces the following error: Error in sprintf(gettext(fmt, domain = domain), ...) : object "form" not found Any guesses as to what I may have done wrong?

hi all - i'm just wondering what sort of code people write to essentially performa an aggregate call, but with different functions being applied to the various columns. for example, if i have a data frame x and would like to marginalize by a factor f for the rows, but apply mean() to col1 and median() to col2. if i wanted to apply mean() to both columns, i would call: aggregate(x, list(f),

I making an xyplot and the y label is too long and needs to be in two rows, but when I brake it there is a huge gap between the last text string and the expression, and I can't get rid of it. Any ideas? Data: structure(list(Temp = c(8L, 8L, 8L, 8L, 8L, 8L, 12L, 12L, 12L, 12L, 12L, 12L), CO2 = c(380L, 380L, 380L, 750L, 750L, 750L, 380L, 380L, 380L, 750L, 750L, 750L), Treat = structure(c(3L,