similar to: lines(..., lwd=3) inaccuracy

I am having two problems creating data frames that I have solutions, but they really seem like kludges and I assume I just don't understand the proper R way of doing things. The first situation is I have an set of uneven data vectors. When I try to use them to create a data frame I would like the bottoms of them padded with NAs, without explicitly specifying that. When I do: anxiety.data =

Hello, Recently I've come across two instances where Induction Variable Simplification lead to noticable performance regressions. In one case, the removal of extra IV lead to the inability to reschedule instructions in a tight loop to reduce stalls. In that case, there were enough registers to spare, so using extra register for extra induction variable was preferable since it reduced

Hi, I'd like to define a pseudo-instruction whose expansion will, as a side-effect, overwrite an input register's value: the pseudo-instruction ldw r1:r2, P to load 2 bytes from memory address P is to be expaneded to ld r1, P+ ld r2, P where "ld _, P+" is an instruction that loads a single byte from P, and post-increments P by one. How can I represent this behaviour in

Hello,everybody. My name is Chuan Zun Liang. I come from Malaysia. I am just a beginner for R. Kindly to ask favor about median filter. The problem I facing as below: > x<-matrix(sample(1:30,25),5,5) > x [,1] [,2] [,3] [,4] [,5] [1,] 7 8 30 29 13 [2,] 4 6 12 5 9 [3,] 25 3 22 14 24 [4,] 2 15 26 23 19 [5,] 28 18 10 11 20 This

Hi Hal, I see. So LSR could theoretically counteract undesirable Ind Var transformations but it's not implemented at the moment? I think I've managed to come up with a small reproducer that can also exhibit similar problem on x86, here it is: https://godbolt.org/z/_wxzut As you can see, when rewriteLoopExitValues is not disabled Clang generates worse code due to additional spills,

The cells are interpreted as counts, so by scaling you're analyzing a different experiment (one with fewer observations). So the chi-squared value will change (the terms (O-E)^2/E in the statistic scale linearly ignoring rounding and "Yates' continuity correction"). The chisq.test on the original data is a test of association. Conventionally you decide ahead of time on a

I've noticed that there was an attempt to mitigate ExitValues problem in https://reviews.llvm.org/D12494 that went nowhere. Were there particular issues with that approach? -- Danila From: Philip Reames [mailto:listmail at philipreames.com] Sent: Saturday, August 10, 2019 02:05 To: Danila Malyutin <Danila.Malyutin at synopsys.com>; Finkel, Hal J. <hfinkel at anl.gov> Cc: llvm-dev

consider p as random effect with 5 levels, what is difference between these two models? > p5.random.p <- lmer(Y ~p+(1|p),data=p5,family=binomial,control=list(usePQL=FALSE,msV=1)) > p5.random.p1 <- lmer(Y ~1+(1|p),data=p5,family=binomial,control=list(usePQL=FALSE,msV=1)) in addtion, I try these two models, it seems they are same. what is the difference between these two model. Is

Thanks. I've rebased this patch on top of the recent LLVM (it was straightforward) and applied it in my fork. It seems to have solved one of the problems I was having. Would LLVM be interested if I submit the updated version for the review? -- Danila From: Philip Reames [mailto:listmail at philipreames.com] Sent: Tuesday, August 13, 2019 19:01 To: Danila Malyutin <Danila.Malyutin at

Here is some sample data: mydata <- read.table(textConnection("Est Group Tri 0 0 4.639644 1 0 4.579189 2 0 4.590714 0 1 4.443696 1 1 4.588243 2 1 4.650505 0 2 4.296608 1 2 4.826036 2 2 4.765386"),header=TRUE); closeAllConnections(); I can form two plots,

Hi there, is it possible to use such encryption like SSL/TLS for authenticating users on a mountpoint? I can't find somethin like that in the docmentation and it would be nice to have such a mechanism like that, because all passwords will be transmitted in PLAIN text. This is not very secure, because anyone can see the usernames and passwords in his sniffer program. Would be pleased if

Hola de nuevo. Resulta que al actualizar a la versión 0.9.2 de ggplot2 , ahora en mi eje continuo y , los valores se etiquetan en formato científico , cuando antes era normal. Es decir, mis valores máximos están sobre 300000, pero en el eje ahora pone 3e+05 y no he encontrado como cambiarlo. He visto que se puede cambiar utilizando el paquete scales y utilizando por ejemplo , siendo p un

Hi, Cosmetic. Starting R with e.g. --max-ppsize=-10 produces the following warning: WARNING: '-max-ppsize' value is negative: ignored The name of the option displayed in the warning is incorrect. Could that be fixed? See src/main/CommandLineArgs.c (there are 3 places in that file where the name of this option needs to be adjusted). This is with current R-alpha. Thanks! H. --

Hi, In man page for duplicated: Value: ?duplicated()?: For a vector input, a logical vector of the same length as ?x?. For a data frame, a logical vector with one element for each row. For a matrix or array, a logical array with the same dimensions and dimnames. When 'x' is a matrix or array, the returned value is NOT a logical array: > m <-

Hello, I have been working with various probability distributions in R, and it seems the gamma distribution is inaccurate for some inputs. For example, qgamma(1e-100, 5e-101, lower.tail=FALSE) gives: 1.0. However, it seems this is incorrect; I think the correct answer should be 0.082372029620717283. When I check these numbers using pgamma, I get: pgamma(1,5e-101, lower.tail=FALSE) =

I came across this: shouldn't the last value be a more exact zero? It did not do that with 1 - sum( rep(0.1, 10) ) > 1 - cumsum( rep(0.1, 10) ) [1] 9.000000e-01 8.000000e-01 7.000000e-01 6.000000e-01 5.000000e-01 4.000000e-01 3.000000e-01 2.000000e-01 [9] 1.000000e-01 1.110223e-16 > version _ platform

Hello, I need to use the confluent function of second kind, also known as Tricomi function. It is implemented as kummerU() function in fAsianOptions package, but I've found very inaccurate values, comparing with those provided by Mathematica. I think Mathematica values are OK because kummerU values leads to negative probabilities. For example, if you try the kummerU() function example, you

Hey guys, I'm a bit of a beginner (understatement!) with shell scripting and seek help! I am setting up our new squid proxy. Its working a treat and squidGuard is the icing on the cake. But, I am trying to write a shell script to search through our black list category's for squidGuard and remove the parsed value; Scenario: /some/directory/where/blacklist/is/stored contains about 40-50

Hi, I found the following strange effect with qbinom & partial argument matching p0 <- pbinom(0, size = 3, prob = 0.25) qbinom(p0, size = 3, prob = 0.25) ## 0 o.k. qbinom(p0-0.05, size = 3, prob = 0.25) ## 0 o.k. ## positional matching: qbinom(p0, 3, 0.25) ## 0 o.k. ## partial argument matching: qbinom(p0 , s = 3, p = 0.25) ## 1 ??? qbinom(p0-0.05,

[[yet another discussion brought from R-core to R-devel]] >>>>> "RG" == Robert Gentleman <rgentlem@stat.auckland.ac.nz> writes: RG> Peter, there is some code for line types and widths in all the RG> drivers. With windows there is the well known limitation that you RG> can't have patterened lines with lwd larger than 1 (unless you