similar to: Unordered Factors For ggplot?

I'm trying to create a stacked bar chart with x=month, y=volume, and factor=type. volume type month 100 A SEP09 200 A OCT09 300 A DEC09 400 B SEP09 500 B OCT09 600 B DEC09 700 C SEP09 800 C OCT09 900 C DEC09 Following Hadley's examples, I get 3 bars with SEP09: 3-A,

Dear List I am trying to draw a heatmap using ggplot2. In this heatmap I have faceted my data by 'infection' of which I have four. These four infections break down into two types and I would like to reorder the 'infection' column of my data to reflect this. Toy example below: library(ggplot2) # test data for ggplot reordering genes <- (rep (c(rep('a',4),

I don't understand under what situation ordered factor rather than unordered factor should be used. Could somebody give me some examples? What are the implications of order vs. unordered factors? Could somebody recommend a textbook to me?

Hi All, I noticed LLVM target independent side is converting an ordered less than "setolt" into unordered greater than "setuge" operation. There are no target hooks to control going from the ordered mode into unordered. I am trying to figure out the best way to support unordered operation on Hexagon. We don't have a single instruction to do unordered operation. So we

On Tue, Jul 9, 2013 at 3:00 PM, <sundeepk at codeaurora.org> wrote: > Hi All, > > I noticed LLVM target independent side is converting an ordered less than > "setolt" into unordered greater than "setuge" operation. There are no > target hooks to control going from the ordered mode into unordered. > > I am trying to figure out the best way to support

Hi All, I am reading about LLVM IR atomics (http://llvm.org/docs/Atomics.html) and get confused about the difference between "Unordered" and "Monotonic". In particular, I am not sure I understand the statement of "It essentially guarantees that if you take all the operations affecting a specific address, a consistent ordering exists.". For me, it means that for the

On 29 August 2013 10:12, Demikhovsky, Elena <elena.demikhovsky at intel.com> wrote: > But this is another case. LLVM IR distinguishes between ordered and unordered compare and X86 backend has appropriate instructions. I think LLVM uses ordered/unordered compare to mean something different to what the x86 instructions do. For example, "not equal": fcmp une == unordered not

But this is another case. LLVM IR distinguishes between ordered and unordered compare and X86 backend has appropriate instructions. But during DAG selection we just lose this information and always generate unordered fcmp. I.e. in case of ordered fcmp the vcomiss should be generated, and in case of unordered - vucomiss. - Elena -----Original Message----- From: Dr D. Chisnall [mailto:dc552 at

Hello; I am having a problems with the interpretation of models using ordered or unordered predictors. I am running models in lmer but I will try to give a simplified example data set using lm. Both in the example and in my real data set I use a predictor variable referring to 3 consecutive days of an experiment. It is a factor, and I thought it would be more correct to consider it ordered. Below

> The function ISD::getSetCCInverse() would probably be useful for you > here: you can use it to transform an unordered operation into an > ordered operation. Thanks for your reply Eli. I will check how to convert unordered operations back to ordered one. I have another related question - is it possible for frontend (clang) to generate unordered operation from the source code? -Sundeep

I'm trying to change an unordered factor into an ordered factor: data96$RV961327 <- data96$V961327 data96$RV961327[data96$V961327 %in% levels(data96$V961327)[4]] <- NA data96$RV961327[data96$V961327 %in% levels(data96$V961327)[5]] <- NA data96$RV961327 <- factor(data96$RV961327) attributes(data96$RV961327) levels(data96$RV961327) data96$RV961327 data96$RRV961327 <-

I am attempted to examine the temporal independence of my data set and think I need an unordered multinomial logistic regression (or logit model) with repeated measures to do so. The data in question is location of chickens. Chickens could be in any one of 5 locations when a snapshot sample was taken. The locations of chickens (bird) in 8 pens (pen) were scored twice a day (AMPM) for 20 days

Should I open a ticket for this? - Elena From: Eli Friedman [mailto:eli.friedman at gmail.com] Sent: Wednesday, August 28, 2013 19:51 To: Demikhovsky, Elena Cc: llvmdev at cs.uiuc.edu Subject: Re: [LLVMdev] Ordered / Unordered FP compare are not handled properly on X86 On Wed, Aug 28, 2013 at 2:16 AM, Demikhovsky, Elena <elena.demikhovsky at intel.com<mailto:elena.demikhovsky at

On 29 Aug 2013, at 08:19, Tim Northover <t.p.northover at gmail.com> wrote: > If so, a compare that used that instruction would have to become more > like an "invoke" with a landingpad for the exception and so on, > wouldn't it? The current fcmp can already distinguish between ordered > and unordered, because ucomiss provides that information. There are currently

Hi, I am trying to generate all unordered combinations of a set of numbers / characters, and I can only find a (very) clumsy way of doing this using expand.grid. For example, all unordered combinations of the numbers 0, 1, 2 are: 0, 0, 0 0, 0, 1 0, 0, 2 0, 1, 1 0, 1, 2 0, 2, 2 1, 1, 1 1, 1, 2 1, 2, 2 2, 2, 2 (I have not included, for example, 1, 0, 0, since it is equivalent to 0, 0, 1). I have

Hello, When plotting a barchart with ggplot it drops the levels of the factor for which no counts are available. For example: library(ggplot) mtcars$cyl<-factor(mtcars$cyl) ggplot(mtcars[!mtcars$cyl==4,], aes(cyl))+geom_bar() levels(mtcars[!mtcars$cyl==4,]) This shows my problem. Because no counts are available for factorlevel '4', the label 4 dissapears from the plot. However, I

I found that there is no diff in code generator for Ordered / Unordered FP compare instructions. FUCOMISS, FUCOMISD are generated in the both cases. - Elena --------------------------------------------------------------------- Intel Israel (74) Limited This e-mail and any attachments may contain confidential material for the sole use of the intended recipient(s). Any review or

Hello, I was trying to use a queue in linear order and to provide the exact order of members to dial by adjusting the uniqueid value. Obviously it doesn't work and it seems an old problem: https://issues.asterisk.org/jira/browse/ASTERISK-18480 Realtime configuration can't identify "orders" in the list of results, so the members for the queue are returned in random order.

Hi Chris, I've attached a replacement of fibonacci.cpp that reproduces the issue on x86/SSE systems. Regarding the definition of the VFCmp instruction, I think it would really be a lot more valuable to define it as returning all 1's or all 0's per element. Just setting the most significant bit is pretty much worthless (someone correct me if I'm wrong). I checked and I

I just updated to R 2.14 with ggplot2 0.9 and am finding bugs. > ggplot2 "GPL-2" "2.14.0" This example is taken from pg 101 in the ggplot book. > plot <- qplot(date, psavert, data = economics, geom = "line") + > ylab("Personal savings rate") + geom_hline(xintercept = 0, colour = > "grey50")' > plot +