similar to: [LLVMdev] Puzzled by "set" in target description file

I have what seems like simple, working code: <form action="save_dh_options" method="post"> <fieldset> <legend>DH Work Reports</legend> <p>Would you like to fill a work report?</p> <p><%= radio_button("user", "enable_report", "yes") %><label for="yes"> Yes</label><br

Hi Stephan, > I'm trying to figure out why the following sequence of intructions is > not collapsed to "ret i32 0" by the opt tool with "-03". no target data maybe? Ciao, Duncan.

Just installed Wine for the first time last night, so am new here. Reading this news group while waiting for a reply to an earlier post, I notice that something like a third of the posts here are dupes or reposts. I've never seen this in a technical news group before. Is this a malfunction of the news client?

Hi there I'm preparing to copy emails from one dovecot to another dovecot server via imapsync. Now imapsync does not get the folder list. So I sniffed the connection and I am trying to reproduce via telnet. I do via different concurrent connections. . login user password . list "" * Now this is what completely puzzles me. sometimes I get the list of all folders, sometimes I

sorry for the late reply. i dunno if anyone ever wrote you back. although perhaps not written for clarity, i think what appears in the code is correct. the routine only guarantees that one of cum or ccum has a valid return value depending on i_tail (the other might as well be garbage, but that isn't what's returned). j On Wed, 9 Jul 2003 Henrik.Seidel@schering.de wrote: >

Duncan, That's helpful. Two follow-up questions: 1. Where would I have found this information? I had looked at eval and model.frame. 2. What stops the following code from falling down the same rabbit hole? Shouldn't it find base::cos first? library(survival) cos <- lung coxph(Surv(time, status) ~ age, data=cos) Terry T. On 11/06/2015 07:51 AM, Duncan Murdoch

On 03/11/2019 4:11 p.m., Rolf Turner wrote: > > I recently tried to write a new method for "[", to be applied to data > frames, so that the object returned would retain (all) attributes of the > columns, including attributes that my code had created. > > I thrashed around for quite a while, and then got some help from Rui > Barradas who showed me how to do it, in

For what it's worth, I don't think this strategy can work in general, because a class might have attributes that depend on its data/contents (e.g. https://vctrs.r-lib.org/articles/s3-vector.html#cached-sum). I don't think these are particularly common in practice, but it's dangerous to assume that you can restore a class simply by restoring its attributes after subsetting. Hadley

Hi Rolf, On 11/4/19 12:28, Rolf Turner wrote: > > On 5/11/19 3:41 AM, Hadley Wickham wrote: > >> For what it's worth, I don't think this strategy can work in general, >> because a class might have attributes that depend on its data/contents >> (e.g. >>

On 5/11/19 10:54 AM, Duncan Murdoch wrote: > On 04/11/2019 4:40 p.m., Pages, Herve wrote: >> Hi Rolf, >> >> On 11/4/19 12:28, Rolf Turner wrote: >>> >>> On 5/11/19 3:41 AM, Hadley Wickham wrote: >>> >>>> For what it's worth, I don't think this strategy can work in general, >>>> because a class might have attributes

Dear R People: Here is a function to minimized: >mfun1 function(x,a) { x[1] <- a[1]*x[2] + a[3] - a[2]*(a[1]-a[2])*a[3] x[2] <- a[1]*x[1] - a[2]*a[3] return(x) } Here is my first try: >nlm(mfun1,c(1,1)) Error in f(x, ...) : Argument "a" is missing, with no default > >nlm(mfun1,c(1,1),a=c(0.8,0.5,1)) Error in nlm(mfun1, c(1, 1), a = c(0.8, 0.5, 1)) :

I have a program which is doing a few thousand runs of lm(). Suppose it is a simple model y = a + bx1 + cx2 + e I have the R object "d" where d <- summary(lm(y ~ x1 + x2)) I would like to obtain Var(x2) out of "d". How might I do it? I can, of course, always do sd(x2). But it would be much more convenient if I could snoop around the contents of summary.lm and

I'm in a situation where I say: > predict(m.rpart, newdata=D[N1+t,]) 0 1 173 0.8 0.2 which I interpret as meaning: an 80% chance of "0" and a 20% chance of "1". Okay. This is consistent with: > predict(m.rpart, newdata=D[N1+t,], type="class") [1] 0 Levels: 0 1 But I'm puzzled at the following. If I say: > predict(m.rpart,

Dear all, I'm puzzled with matrix indices in plotmath. I'm plotting matrix elements: Z [i, i], and I'd like to put that as label. I'll describe what I want and what I get in LaTeX-notation. The output should look like Z_{i, i}, and my first try was plot (1, 1, ylab = expression (Z[i, i])) That, however, gives me Z_{i} (no comma, no second i) although the expression looks OK

Evening all: Redid my home box using VectorLinux (Slackware variation) and now I'm not sure which game trail to follow to reinstall R. Could somebody with more knowledge in this share their thoughts off-list. Just need a pointer to the appropriate trail head. I can take it from there. Regards... -- Brian Lunergan Nepean, Ontario Canada

Hi, Very sorry for my poor Enlgish because I''m not a native speaker. I had read the lartc HOWTO and ip-cref very hard but puzzled by those commands in lartc, 4.2.1. Split access. They are (only xx1 listed): ip route add $P1_NET dev $IF1 src $IP1 table T1 ip route add default via $P1 table T1 ip route add $P1_NET dev $IF1 src $IP1 ip route add default via $P1 ip rule add from $IP1 table

Hi all I am puzzled about the rspec tests that are generated by Rails3 scaffolding. I am however not sure if this is the correct place to discuss this issue. It might be that a rails ML/chat is better suited for that kind of discussion. It just depends on who is responsible for that code. Somehow I am too stupid to find that out, so please bare with me if I produced only noise here. Cheers

I have the following code: condition_clause = "%#{@phrase}%" logger.info "condition is #{condition_clause}" unless @phrase.nil? condition = Caboose::EZ::Condition.new :affiliates do affiliate_name =~ "%#{@phrase}%" # <<< here''s the problem end options[:conditions] = condition.to_sql logger.info "ajax

I have a situation where this is fine: > if (length(x)>15) { clever <- rr.ATM(x, maxtrim=7) } else { clever <- rr.ATM(x) } > clever $ATM [1] 1848.929 $sigma [1] 1.613415 $trim [1] 0 $lo [1] 1845.714 $hi [1] 1852.143 But this variant, using ifelse(), breaks: > clever <- ifelse(length(x)>15, rr.ATM(x, maxtrim=7), rr.ATM(x))

Hi All! I am puzzled. I am using openssh 5.3p1 on RHEL/CentOS but am seeing the same behaviour for osx and debian: ssh -R xxx:yyy:yyy:yyy remotehost Will effectively drop the first (xxx) argument and result in ssh -R 127.0.0.1:yyy:yyy:yyy remotehost ssh -R yyy:yyy:yyy remotehost I had a look at the source code where apparently all 4 values are ready and handed down to the appropriate