similar to: List mappings and variable creation

Hi All, I'd like to see the function code behind the barplots2() function in the gplots package, however i come across a bit of a stumbling block of a hidden function, can anyone help? > library(gplots) > methods(barplot2) [1] barplot2.default* Non-visible functions are asterisked > barplot2 function (height, ...) UseMethod("barplot2") <environment:

Hi, Thanks for the quick feedback. I see your points, but I have a few questions/comments. I'll start at the end of the previous post: > ... > I think these are valuable problems to solve, but you should tackle them piece by piece: > > 1) the clang part of overriding the individual FMF and emitting the right IR is the first thing to fix. > 2) the backend is still using the

I don’t really like the idea of updating checks of UnsafeAlgebra() to depend on all of the other flags. It seems like it would be preferable to look at each optimization and figure out which flags it actually requires. I suspect that in many cases the “new” flag (i.e. allowing reassociation, etc.) will be what is actually needed anyway. I would be inclined to agree with Niolai’s suggestion of

> On Nov 16, 2016, at 6:22 PM, Ristow, Warren <warren.ristow at sony.com> wrote: > > > ... except that Warren’s proposal that started this discussion seems to imply that he > > has a use case that requires reciprocals to be turned off separately. > > Just to close this loose end, yes I have a use case. > > Specifically, we have a customer that turns on

Hi useRs! I would like to know how to make aggregated data.frame with aggregate() tabulated. For example, I run the following command to aggregate re with respect to group1 and group2. > (aggr <- with(final, aggregate(re, group1, group2, mean))) Group.1 Group.2 x 1 1992 15 0.16392 2 1993 15 0.15467 3 1994 15 0.15456 4 1995 15 0.15391

Hello world, I'm trying to do an anova on data in data.set, dependent variable is a column named "dep.var", grouping variable is in a column called "indep.var", and is.factor(indep.var) is TRUE... why can't I just do aov(dep.var ~ indep.var, data = data.set)? What have I done to deserve this?! What gives? Am I missing something totlly obvious? R-base-1.0.0-1,

> On Nov 16, 2016, at 10:04 PM, Ristow, Warren <warren.ristow at sony.com> wrote: > > > Can you elaborate what kind of runtime failure is the reciprocal transformation triggering? > > Yes. It was along the lines of: > > { > float x = a / c; > float y = b / c; > > if (y == 1.0f) { > // do some processing for when

Hi, Can you tell why my vnic built on top of an aggregation of 2 NICs of 1 Gbit/s doesn''t report a speed of 2 GBit/s ? [root at nazgul /]# dladm show-dev bge0 link: up speed: 1000Mb duplex: full bge1 link: down speed: 0Mb duplex: unknown bge2 link: down speed: 0Mb duplex: unknown bge3 link: down speed: 0Mb

I'm using a very long irregular time-series of air temperature and relative humidity of this kind (this is an extract only) its.format("% Y%d%m %X) > base T H 20020601 12.00.00 27.1 47 20020601 15.00.00 29.1 39 20020601 18.00.00 27.4 39 20020601 21.00.00 24.0 40 20020602 0.00.00 22.0 73 20020602 3.00.00 19.2 49 20020602 6.00.00 19.5 74 20020602

>All that said, I think we (the company I work for, Sony) will have to implement support >for these switches. It comes down to GCC has these switches (e.g., -fno-reciprocal-math >and -fno-associative-math), and they do suppress the transformations for our customers. >They switch to Clang/LLVM, they use the same switches, and it doesn't "work". So as a >practical

On the plus side, I'm glad to see the conclusions of the last couple of posts. From Mehdi: > Hope this clarify where I see the direction going, and even if you don’t agree with my > reasoning, the conclusion should be satisfactory on your side :) I'd say that summarizes my thoughts on this well. And from Nicolai: > Right. I'm not fundamentally opposed to having these

> On Nov 17, 2016, at 1:44 PM, Mehdi Amini via llvm-dev <llvm-dev at lists.llvm.org> wrote: > >> >> On Nov 17, 2016, at 1:24 PM, Ristow, Warren <warren.ristow at sony.com> wrote: >> >> On the plus side, I'm glad to see the conclusions of the last couple of posts. >> >> From Mehdi: >> >>> Hope this clarify where I see the

I decided to take a stab at 6601421 dladm set-linkprop should support multiple -p options along with some related linkprop fixes, but when I looked into dladm.c, was surprised to find that "dladm_parse_props()" is called from do_create_aggr and do_create_vlan in addition to the expected (by me, at least) do_create_vnic *linkprop functions. What happened here? Why do we pass in

Hi guys, I installed asterisk and it's working really well. For now I`m using soft phones IAX and SIP but now I want to use the regular IP phone, what I have now is Avaya 4624 and I didn't find a firmware for SIP for this particular phone I believe now is working with H.323, can please someone advice me if exist firmware for this phone to register SIP or IAX2 with my asterisk box, and to

dummy0 Link encap:Ethernet HWaddr C6:C8:2A:04:FD:23 BROADCAST NOARP MTU:1500 Metric:1 RX packets:0 errors:0 dropped:0 overruns:0 frame:0 TX packets:0 errors:0 dropped:0 overruns:0 carrier:0 collisions:0 txqueuelen:1000 RX bytes:0 (0.0 B) TX bytes:0 (0.0 B) lo Link encap:Local Loopback inet addr:127.0.0.1 Mask:255.0.0.0 inet6 addr: ::1/128 Scope:Host UP LOOPBACK RUNNING MTU:65536 Metric:1 RX

I opened a bug report earlier today but it doesn''t seem to have been added to the bugs database. I''m posting here in case one of the Crossbow developers might see it and confirm this behavior. Description Duplicate packets are generated whenever an aggregate is introduced into the network configuration. We''ve ruled out switch ports and physical bge interfaces as

Hi, I have a database of 2211 rows with 31 entries each and I manually split my data into 10 folds for cross validation. I build logistic regression model as: >model <- glm(qual ~ AgGr + FaHx + PrHx + PrSr + PaLp + SvD + IndExam + Rad +BrDn + BRDS + PrinFin+ SkRtr + NpRtr + SkThck +TrThkc + SkLes + AxAdnp + ArcDst + MaDen + CaDt + MaMG + MaMrp + MaSh +

Dear useRs and developeRs, In my diploma thesis I work with a daily time series of glacier runoff data. I did already aggregate them to monthly means etc. Now i want to use just the summer values (I am indecisive by now what that means, but let's make it easy and use months like June). Is there a way to extract the data off this zoo into another zoo with frequency=1 ? Do you have

I have written a function that goes through a database and calculates various metric scores and allocates them to a data set. For 400 of the 500 sites that I calculate these metrics for works fine and allocates the scores into the appropriate column. For some reason, some sites I run into the below problem: Here is what I am doing: > names(orig.metric) [1] "BenInsect"

Merry Xmas to all, I am writing a function and curiously this runs sometimes on one data set and fails on another and i cannot figure out why. Any help much appreciated. If i run the code below with data <- iris[ ,1:4] The code runs fine, but if i run on a large dataset i get the following error (showing data structures as matrix is large) > str(cluster.data) num [1:9985, 1:811] 0 0 0 0