similar to: Problems with aggregate() function in stats package

Hi, This is really strange. Can anyone help explain what's going on here (on 3 and 7)? > targets <- seq(from=.1, to=.9, by=.1) > targets[1]==.1 [1] TRUE > targets[2]==.2 [1] TRUE > targets[3]==.3 [1] FALSE > targets[4]==.4 [1] TRUE > targets[5]==.5 [1] TRUE > targets[6]==.6 [1] TRUE > targets[7]==.7 [1] FALSE > targets[8]==.8 [1] TRUE >

Hi, I've done my best to search for a solution to this, but had no luck. How can I create a lattice plot (I'm using xyplot() ) that does not have a border on the top and right side, but keeps the bottom/left axes? So far all I've found is this, which inserted into the xyplot call removes all 4 borders: / par.settings = list(axis.line = list(col = 0))/ xyplot( Sepal.Length ~

Hi, I'm trying to randomize a sequence of trials for an experimental design. The trials consist of values for each of two factors. As is there are 30 combinations of the two factors, and I want them to be ordered randomly but with the requirement that for one of the factors, the value can never be the same as the previous value. I'm currently randomizing my dataframe by using:

Hello, I am confused about the order of nesting in mixed models using functions like aov(), lme(), lmer(). I have the following data: n subjects in either condition A or B each subject tested at each of 3 numerical values ("distance" = 40,50,60), repeated 4 times for each of the 3 numerical values ("trial" = 1,2,3,4) Variable summary: Condition: 2 level factor Distance:

I have a Samba problem with eGroupware. Samba 4 is screwing with my eGroupware UIDs causing Havoc. Samba 4 uses the last four Digits of the SID rather than the UID Number. I need to know how to alter my user entry SID so that the last four digits of the SID is congruent with the UID Numbers of my users. To fix this; I need the ability to edit the last digits of the SID. I've tried shutting

Hi, I often use plotmeans() from the gplots package to quickly visualize a pattern of change. I would like to be able to plot separate lines for different groups, but the function gives an error when a grouping variable is included in the formula argument. For instance, > require(gplots) > x <- data.frame(Score=rnorm(100), Time=rep(1:10, 10),

Some frontends for LLVM require that LLVM perform tail call optimization (TCO) for correctness. Internally, LLVM refers to TCO of a non-recursive tail call as sibling call optimization, but I'm going to refer to that generically as TCO. Often, functional languages like Scheme have a language-level requirement that TCO occurs for any call in the tail position, and this is usually why users of

dear all, i'm trying to reproduce an spss-anova in R. It is an 2x3x3 repeated measures desingn with repeated contrasts. In R i've coded a contrast matrix for all factors and made a split in the aov summary - but I can't get the repeated interaction contrasts. The output from SPSS looks like this: TaskSw * CongNow * CongBefore: SS df Mean Square F Sig. 1 vs. 2 1 vs. 2 1 vs. 2

On Mon, November 16, 2015 16:39, Nick Bright wrote: > On 11/6/2015 3:58 PM, James Hogarth wrote: >> I have a couple of relevant articles you may be interested in ... >> >> On assigning the zone via NM: >> https://www.hogarthuk.com/?q=node/8 >> >> Look down to the "Specifying a particular firewall zone" bit ... >> remember that if you edit the

> syslinux[64].exe -i -f c: bootsecfile.bss > > This should have been the form for your desire as specifying the > filename should have told it to create the BSS instead of writing it > to the VBR. Being the "fixed" HDD instead of a removable drive like a > USB stick, "-f" is necessary. Hmm, instead? Could this syntax be some kind of unintended oversight?

In general I would love to see an outliner at the IR level also. But rather than a comparison vs. the machine outliner I would like to learn more about how the core data structures between the outliners will be shared. In particular for matching/pruning it seems to be a reasonable approach. A few more remarks/questions are below also. Thanks Gerolf > On Sep 5, 2017, at 4:16 PM, River Riddle

Hi, There is an object, ".Last.value" to which the result of the most recent evaluation is assigned. This is similar to "ans" in Matlab. In Matlab "ans" can be very useful and time-saving, but typing the larger R version is somewhat clunky and takes away from the usefulness. Is it possible to reassign '.Last.value' to something simpler, like

Hi, I want to add error bars to a plot generated with xyplot. I've tried both errbar() and plotCI(), but in both cases the points are not in the same place. It's as if the two functions are using a different frame of reference for the plotting area. for example: means <- c(92.5, 92.25, 90.9, 91.0, 94.15, 90.05) #means time <- c(1,1,2,2,3,3) #occasion variable group <-

Nick Bright wrote: > On 11/17/2015 8:18 AM, James B. Byrne wrote: >> This behaviour is congruent with SELinux. One utility adjusts the >> permanent configuration, the one that will be applied at startup. >> Another changes the current running environment without altering the >> startup config. From a sysadmin point of view this is desirable since >> changes to a

nouveau_sched_init() uses the function drm_sched_init(). The latter function has parameters called "hang_limit" and "timeout" in its API documentation. nouveau_sched_init(), however, defines a variable called "job_hang_limit" which is passed to drm_sched_init()'s "timeout" parameter. The actual "hang_limit" parameter is directly set to 0.

Hey Everybody, A little while ago I posted an RFC( http://lists.llvm.org/pipermail/llvm-dev/2017-July/115666.html) with the proposition of adding a new outliner at the IR level. There was some confusion and many questions regarding the proposal which I’d like to address here: Note about nomenclature: Candidate: A repeated sequence of instructions within a module. Occurrence: One instance

summary: I have a situation in which a private RSA key has been corrupted, but it's still possible to log into a SSH server using that file. This is with OpenSSH 3.6.1p2 Debian. I have a SSH public/private key pair generated with "ssh-keygen -t rsa". I can use the private key to successfully log into a SSH server which has the public key in it's the authorized_keys file. I

Hello, I make frequent use of the *step()* and, for plotting, *all.effects() *functions for *lm()* objects. I am now doing more with *lme()* random effects models, and haven't been able to find functions similar to *step()* or *all.effects()* which will accept *lme()* objects. Do similar functions for either exist? If someone could point me in the right direction it would be much

Hey Gerolf, On Thu, Sep 21, 2017 at 7:10 PM, Gerolf Hoflehner <ghoflehner at apple.com> wrote: > In general I would love to see an outliner at the IR level also. But > rather than a comparison vs. the machine outliner I would like to learn > more about how the core data structures between the outliners will be > shared. > The only structure that needs to be shared is a

The Goodman/Kruskal gamma is a nice descriptive rank-order correlation statistic, often used in psychology. It is nice because it is easy to understand. It takes all pairs of values of each variable and asks whether they are congruent (S+ is the number in the same order for both variables) or discordant (S-, opposite ranking). The statistic is (S+ - S-)/(S+ + S-). It is like tau except for the