similar to: problems creating data frames

Using a line width > 1 results in not only a thicker line but also some fuzz in the other direction, as shown in this example program. You will see that the thick vertical black lines extend below the gray scale horizontal lines. Does anyone know whether this is intended or is it a bug? The application is for displaying a correlation matrix (here just some random U(0,1)s). Thanks -Frank

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 am new to R. I just tried to recreate in R (using sem package and the identical input data) a solution for a simple measurment model I have found before in LISREL. LISREL had no problems and converged in just 3 iterations. In sem, I got no solution, just the warning message: "Could not compute QR decomposition of Hessian. Optimization probably did not converge. in: sem.default(ram =

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

Hello, I finally run my measurement model in sem - successfully. Now, I am trying to print out the path diagram that is based on the results - but for some reason it's not working. Below is my script - but the problem is probably in my very last line: # ANALYSIS OF ANXIETY, DEPRESSION, AND FEAR - LISREL P.31 library(sem) # Creating the ANXIETY, DEPRESSION, AND FEAR intercorrelation matrix

I have an outlier that I would still like to display, but would prefer to shorten the axis. For example, display 0% - 40%, and 90% - 100%. Is this possible? I am using an xyplot. Thanks Murray -- Murray Pung Statistician, Datapharm Australia Pty Ltd 0404 273 283 [[alternative HTML version deleted]]

In http://tolstoy.newcastle.edu.au/R/e2/help/06/10/3064.html a method was given for converting a frequency table to an expanded data frame representing each observation as a set of factors. A slightly modified version was later included in the NCStats package, only on http://rforge.net/ (and it has too many dependencies to be useful). I've tried to make it more general, allowing an input

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

Hello, I have a problem with creating an identity matrix for glmnet by using the contrasts function. I have a factor with 4 levels. When I create dummy variables I think there should be n-1 variables (in this case 3) - so that the contrasts would be against the baseline level. This is also what is written in the help file for 'contrasts'. The problem is that the function

Hello ALL! I have a problem to plot factor (lets say gender) as a line, or at least both line and point, from ols model: ols1 <- ols(Y ~ gender, data=dat, x=T, y=T) plot(ols1, gender=NA, xlab="gender", ylab="Y", ylim=c(5,30), conf.int=FALSE) If I convert gender into discrete numeric predictor, and use forceLines=TRUE, plot is not nice and true, since it shows values

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

Full_Name: Ei-ji Nakama Version: R-2.5.0 OS: any Submission from: (NULL) (219.117.236.5) problem by operation of gsub in the locale of CP932 and SJIS. The inconvenient character code which used 0x5c after the first byte. --- R-2.5.0.orig/src/main/character.c 2007-04-03 11:05:05.000000000 +0900 +++ R-2.5.0/src/main/character.c 2007-06-24 22:31:06.000000000 +0900 @@ -986,6 +986,17 @@