similar to: Should help of estimate in t.test be corrected?

Hi Tomas, Many thanks for your answer. Here is a copy of a fresh session under RStudio, and after a copy under Rgui. Strangely enough the result of memory.limit() is not the same. Without your question I would not have looked to RGui, being used to work with RStudio. The value under RGui sounds to correspond to the total RAM of the computer. It makes me noticing that the value is in MB.

Hi, I am not not sure whether this topic belongs to this mail list, but I feel the subscribers here should be the right audience. I noticed that the memory limit reported under Windows is 16 GB. I am wondering how to increase it. I didn't found anything in Rprofile.site nor .Rprofile. Is this limit hard coded at compilation? Best, Samuel [[alternative HTML version deleted]]

Hi, Using identify function, I think I should get the index of the selected points in the order I clicked them. This is what I read in the help. But I feel they are ordered. Please let me know what I missed. In the following example, I clicked on the points labelled 7, 5 and 1, but I get 1, 5, 7 as output. > set.seed(0); x = rnorm(10); y = rnorm(10); plot(x,y); text(x, y, > seq(x));

Hi Indeed the help page says ... "the indices of the identified points, in the order they were identified" ... and that is a complete lie. Sorry about that :( The simplest thing would be to correct the help page. It would be possible to have identify() return the order, though for backward compatibility that should not be the default, so would require another argument to

Hallo, you are probably right that "the estimated mean or difference in means depending on whether it was a one-sample test or a two-sample test" should be rephrased to "the estimated mean or difference in means depending on whether it was a one-sample test, two-sample test or two sample paired test" Cheers Petr > -----Original Message----- > From: Samuel Granjeaud

Hi Paul, Thanks for your answer. I am wondering if in the previous versions, let's say 2.1x, the data were in the selection order... Let me know if there a R fonction taht I can code. Do you think I should use locator function and match points on my own? Best, Samuel

Agreed. I don't see any evidence of a "hard limit" here. It just looks like the code you're running has exhausted the memory of your machine. It doesn't require creating a lot of 12.6 Gb vectors to do that, even on a machine with a lot of memory ;-) H. On 4/7/20 08:05, Thierry Onkelinx via R-devel wrote: > Dear Samuel, > > The most important information from

R3.4.x, R3.5.0, Windows7 64 bit code {graphics} identify() is sorting results before returning the vector. As documented it should return the raw sequence in the order selected ... "If |pos| is |FALSE|, an integer vector containing the indices of the identified points, in the order they were identified. " X<-rnorm(100) # 100 random numbers dim(X)<-c(50,2) #

Sorry, some things got garbled in that request for help that might make my request unintelligible, probably it being too late at night when I posted, here is the corrected function call for which I would like to learn how to add horizontal grid lines. Any suggestions would be appreciated. Apologies for the posting error xyplot(est ~ STE, data = all, groups = AREA, type = "b",

Hi Sorry, I think this has always been the behaviour (and the documentation has always been wrong). Using locator() yourself could be a workaround (with a little more effort required to determine the closest data point). Paul On 16/02/18 09:32, Samuel GRANJEAUD IR/INSERM wrote: > Hi Paul, > > Thanks for your answer. I am wondering if in the previous versions, > let's say

Dear R-Users, I have a question concerning extraction of parameter estimates of variance function from lme fit. To fit my simulated data, we use varConstPower ( constant plus power variance function). fm<-lme(UPDRS~time,data=data.simula,random=~time,method="ML",weights=varConstPower(fixed=list(power=1))) I extract the results of this function by using the following codes:

Dear Samuel, The most important information from your mail was the actual error message: "cannot allocate vector of size 12.6 Gb". You'll need to know what code generated this error message. And then figure out if the code does something sensible. Often that is not the case when you get a similar error message. Best regards, ir. Thierry Onkelinx Statisticus / Statistician

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Dear R-experts, I need to replace in an expression the character "Cl" by "Cl+beta" But in the following case: form<-expression((Cl-(V *ka) ) +(V *Vm *exp(-(Clm/Vm) *t))) gsub("Cl","(Cl+beta)",as.character(form)) We obtain: [1] "((Cl+beta) - (V * ka)) + (V * Vm * exp(-((Cl+beta)m/Vm) * t))" the character "Clm" has been

grDevices::convertColor has arguments 'from' and 'to' which can take on value 'XYZ'. Can someone confirm that 'XYZ' is the same as the CIE chromaticity coordinates that are also sometimes refered to as 'xyY' in the literature? Or are these the CIE tristimulus values? It looks to me like the first case is true, but I would appreciate hearing from one of

Dear R experts, Did someone implemented French Curve yet? Or can anyone point me some papers that I can follow to implement it? thanks in advance for your help. Paul

Hi everybody, Hope your are not all on holyday because I've got a problem that is going to drive me crazy... I would like to remove some rows from a dataframe. The rows correspond to some specific indexes which I can get by looking at the name in the first column of my dataset. But I manage to get only the opposite of what I really want (function #1) #Function#1:

Dear R users, I have a data frame with one column (4000 rows) containing name codes (factor with 63 levels). I would like to associate each name with a particular Type (coded as 1,2,3,4,H or H1) in a second column. Is it possible to do a lookup table of associations (i.e. A23 is of type 1, A13 is of type 3 ...) so as to fill up automatically the $Type column. df() $Source $Type A23 A24 A9 A32

Folks, Based on http://www.biostat.wustl.edu/archives/html/s-news/1999-06/msg00125.html I thought I should experiment with using survreg() to estimate tobit models. I start by simulating a data frame with 100 observations from a tobit model > x1 <- runif(100) > x2 <- runif(100)*3 > ystar <- 2 + 3*x1 - 4*x2 + rnorm(100)*2 > y <- ystar > censored <- ystar <= 0

Hi all Assume I have a data set xx; Group: 1=group1 ?, 2=group2 IQ: ?1= High, 0 =low fit <- glm(IQ ~group, data = xx, family = binomial()) summary(fit) Results ?????? ????????????Estimate Std. Error z value Pr(>|z|) (Intercept) -2.55456??? 0.210 -12.273? < 5e-16 *** group????????? 0.36180 ?????0.076?? 3.952 ????5.24e-05 *** the odd ratio = exp(0.36180 )= 1.435912 My question