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Hi All, I have a doubt regarding join tables I''m having 2 models 1)Fac 2)Cont and both models have " has and belong to many" relationships so there are 3 tables 1)facs 2)conts 3)conts_facs then i''m fetching the data in controller as @conts=Cont.find(:all]) @cfacs=Fac.all(:joins=>:conts, :select=>"facs.name") but i dont know how to get the

There are two misspellings in the german Error message for friedman test: Fehler in friedman.test.default(cont$score, group = cont$goup, blocks = cont$cont) : y, Gruppen und blöcke müssen die sekbe Länge haben The correct spelling would be: Fehler in friedman.test.default(cont$score, group = cont$goup, blocks = cont$cont) : y, Gruppen und *Blöcke* müssen die *selbe* Länge haben Instead of

...to get back out from the parameter estimates # in my world the parameter estimate should be cell mean(A) - grand mean = 60.02271 - 45.00677 = 15.01595 # the estimate is 0.99688227 #cell means A B # 60.0227 29.99082 Any help is greatly appreciated. J -- View this message in context: http://www.nabble.com/Parameter-estimates-from-an-ANCOVA-tp20001809p20001809.html Sent from the R help mailing list archive at Nabble.com.

Hi all, I have R script which during its run require an input like this: choose between one of the grouping factor available : c("Village", "Country") can I automate this part, in other word to pass for example Village when I am running the script. One more thing the script is the TimeSeriesAnalysis {ndvits}. Thanks in advance for any help or suggestion. Regards, Vahe

Dear list, I cannot figure out why, after sub-setting my data, that particular item which I don't want to plot is still in the newly created subset (please see example below). R somehow remembers what was in the original data set. A work around is exporting and importing the new subset. Then it's all fine; but I don't like this idea and was wondering what am I missing here? Thanks!

Dear All, Comparing linear mixed effect models in SAS and R, I found the following discrepancy: SAS R random statement random subj(program); random = ~ 1 | Subj -2*loglik 1420.8 1439.363 random effects variance(Intercept) 9.6033 9.604662

Hola, Estoy intentando averiguar cómo contar el número de categorías situadas después de ciertos valores. Por ejemplo, en el siguiente vector: x <- c(3, "A", "B", 5, "A", 4, 5, "A", "A", 3) el resultado que quisiera obtener es: Valor -> Resultado 3 -> 1 A y 1 B 4 -> 0 A y 0 B 5 -> 3 A y 0 B ¿Alguien tiene alguna

This patch introcude cfq_cgroup structure which is type for group control within expanded CFQ scheduler. In addition, the cfq_cgroup structure has "ioprio" entry which is preference of group for I/O. Signed-off-by: Satoshi UCHIDA <s-uchida at ap.jp.nec.com> --- block/cfq-cgroup.c | 148 +++++++++++++++++++++++++++++++++++++++++

Hola a todos: Estoy intentando visualizar unos resultados de un programa en R de forma dinámica. Dichos resultados se pueden representar, básicamente, con un plano que gira sobre uno de sus ejes: para dar sensación de movimiento he utilizado la función rgl.clear(), ya que no encuentro los equivalentes en rgl de los parámetros add o new. El problema es que al limpiar la pantalla con rgl.clear la

Dear R users, Firstly, I would like to congratulate the R core team in bringing out R 1.0.0 and all who have helped in developing it. I have been having problems with using se.contrasts and would be pleased if someone help. I have been doing a repeated measures ANOVA using aov using a split plot design for a single variable, color. The aov results were as follows: > summary(aov(CD2~cont +

Hello all, I am running Dovecot alpha1, and after about 24 hours of the server working fine, it starts to lock up when I open Thunderbird to check mail. Basically I can see new mail, but when I click it, it just hangs at "Loading message...". I get the following in my maillog: Aug 23 09:25:28 palantir dovecot: auth(default): client in: AUTH 1 PLAIN service=IMAP

Good Evening, I recently purchased an EPYC quantum UPS. I installed NUT on the home assistant by connecting the UPS via USB and tried all the various drivers in the list, the only one that seems to work is: usbhid-ups with this log: s6-rc: info: service s6rc-oneshot-runner: starting s6-rc: info: service s6rc-oneshot-runner successfully started s6-rc: info: service base-addon-banner: starting

Hi, I found that using different contrasts (e.g. contr.helmert vs. contr.treatment) will generate different fitted probabilities from multinomial logistic regression using multinom(); while the fitted probabilities from binary logistic regression seem to be the same. Why is that? and for multinomial logisitc regression, what contrast should be used? I guess it's helmert? here is an example

...<typeid2 catch function>, ... void (i8*, i8*)* @<uncaught exception cleanup function>) indirectbr i8* %label Finally, how do you see this meshing with SEH? As I understand it, both the exception handlers and the cleanup code in that case execute in the original function context and only the filter handlers need to be outlined. I suppose the outlining pass can look at the personality function and change its behavior accordingly. Is that what you were thinking? -Andy -------------- next part -------------- An HTML attachment was scrubbed... URL: <http://lists.llvm....

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Trying to update Bug 306 I installed wine-20020411.tar.gz The debugger won't let me "finish". Unhandled exception: stack overflow in 32-bit code (0x406c364c). In 32-bit mode. Symbol h_errno is invalid Symbol __strtol_internal is invalid 0x406c364c (SPY_EnterMessage+0xc [spy.c:2078] in user32.dll.so): call 0x406c3651 (SPY_EnterMessage+0x11 [spy.c:2078] in user32.dll.so) 2078 {

...imap secured=tls session=.... auth: Debug: gssapi(?,192.168.....,<MR1yvq6DftfAqAoP>): Using all keytab entries auth: Debug: client passdb out: CONT 1 auth: Debug: client in: CONT<hidden> auth: Debug: gssapi(user2 at sub.contoso.com,192.168....,<MR1yvq6DftfAqAoP>): security context state completed. auth: Debug: client passdb out: CONT 1 YIGVB.... auth: Debug: client in: CONT<hidden> auth: Debug: gssapi(user2 at sub.contoso.com,192.168.....,<MR1yvq6DftfAqAoP>): Negotiated security layer auth: Debug: client passdb out: CONT 1 BQQF/..... auth...

s6-rc: info: service s6rc-oneshot-runner: starting s6-rc: info: service s6rc-oneshot-runner successfully started s6-rc: info: service base-addon-banner: starting ----------------------------------------------------------- Add-on: Network UPS Tools Manage battery backup (UPS) devices----------------------------------------------------------- Add-on version: 0.13.0 You are running the latest version

Hi, I would like to understand why calling a native function from a function in LLVM IR can be much faster than calling an equivalent function in LLVM IR. For instance, here are two equivalent programs. The first calls an llvm function while the second calls a native function. On my AMD machine, the first takes 4.48s to run while the second takes 3.49s. define i64 @bloop() { entry: br label

Dear R-devel list members, I'd like to suggest a more flexible procedure for generating contrast names. I apologise for a relatively long message -- I want my proposal to be clear. I've never liked the current approach. For example, the names generated by contr.treatment paste factor to level names with no separation between the two; contr.sum simply numbers contrasts (I recall an