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Hi, I just had my Dell R610 reboot with a kernel panic when I threw a couple of zfs clone commands in the terminal at it. Now, after the system had rebooted zfs will not import my pool anylonger and instead the kernel will panic again. I have had the same symptom on my other host, for which this one is basically the backup, so this one is my last line if defense. I tried to run zdb -e

On Tue, Jan 29, 2013 at 3:59 PM, Murali, Sriram <sriram.murali at intel.com> wrote: > Our benchmark results show that the compilation time performance improved by > ~0.5%. That's fairly small; what was the standard deviation, confidence interval, etc? -- Sean Silva

The compilation time is measured for different benchmarks while compiling a .bc file into a shared object. The improvement across the range of benchmarks is listed in following table. If the reason behind the need for other performance metrics is to identify possible measurement errors, then I think this table would be of some help. However, we do not have the standard deviation and confidence

Hello, This patch aims to improve compile time performance by increasing the SCEV vector size in LoopStrengthReduce. It is observed that the BaseRegs vector size is 4 in most cases, and elements are frequently copied when it is initialized as SmallVector<const SCEV *, 2> BaseRegs. Our benchmark results show that the compilation time performance improved by ~0.5%. Patch by Wan Xiaofei.

Hello All, I would like to select records with identical IDs then sum an attribute then and return them to the data frame as a single record. Please consider Acres<-c(100,101,100,130,156,.5,293,300,.09) Bldgid<-c(1,2,3,4,5,5,6,7,7) DF=cbind(Acres,Bldgid) DF<-as.data.frame(DF) So that: Acres Bldgid 1 100.00 1 2 101.00 2 3 100.00 3 4 130.00 4 5 156.00 5

Hello all! I have a problem to draw a polygon with R. My data is like this> Year Nb.series Perc.pos Perc.neg Nature RGV_mean RGV_sd neg poz 1 1901 1 0.00 0.00 0 4.29 NA 0.00 0.00 2 1902 1 100.00 0.00 1 16.47 NA 0.00 100.00 3 1903 1 100.00 0.00 1 31.31 NA 0.00 100.00 4 1904 1 0.00 0.00 0 -9.62 NA 0.00 0.00 5 1905 1 0.00 100.00 -1 -22.55 NA -100.00 0.00 6 1906 1 0.00 100.00 -1 -12.09 NA

R gurus: I'm trying to get another round of rconifers out and I need some advice/help crushing differences in the examples test. I'm trying to make sure the max sdi values are being respected. I've added a tests/rconifers-Ex.Rout.save (from windows i386-pc-mingw32) and when I ran R CMD check (both R-2.13.0), I got the following results: * using log directory

I would like to organize my data as follows: I have a table that contains various data, and the numbers represent a level of similarity between these data, eg RF00013 has 100% similarity with the data RF00014. I would leave my table as a heatmap where darker colors represent higher similarity, and the lighter colors represent less level of similarity. I'm using version 2.11 of R. these

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The PGO was my first guess but I can get a lot of information. At first, I follow the explanation at http://clang.llvm.org/docs/UsersManual.html#profiling-with-instrumentation but instead of llvm-profdata merge, I used llvm-profdata show *.profraw. Sadly, the information I get is the total number of function, the maximum function count and the maximum internal block count. Do you know if you

Does anyone know how I can generate a 2x2 table in a format where in each cell of the table, it contains a) count (frequency) b) total percentage c) row percentage d) column percentage. SAS can generate this format easily, is there a R package that can do this? Frequency | Percent | Row Pct | Col Pct | positive negative | Total --------------------------------|------- disease |

(Apologies the previous version was sent as rich text) Hello, I'm new to R, but I've read the intro to R and successfully connected it to an instance of mysql. I'm trying to perform multiple linear regression, but I'm having trouble using the lm function. To start, I have read in a simply y matrix of values(dependent variable) and x matrix of independent variables. It says both

On Wed, Oct 08, 2014 at 08:11:16AM +0000, VONDRA Alain wrote: > Hi, > I meet an amazing issue, when I convert a raw file to the oVirt environment using virt-v2v. > All seems to work fine, my VM is composed of 9 disks, the processes > finishes without any trouble, the files are well present in the > right import volume, but only the first system disk appear un my > oVirt Import

Hello all! I want to make a barplot with ggplot2. I want to view in the same chart the semn values (significant values (pointer over 50)). I try this code, but only for pointer values. ggplot(data, aes(x = Year, y = pointer)) + geom_bar(stat="identity") please help me with this problem. I use this data: Year variable pointer variable semn 1 1901 neg 0.00 sneg NA 2 1902 neg 0.00 sneg

Hello all! I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() the data used is:

Dear R users, I have a problem to plot label (Year) only for significant values (in this case spoz and sneg). I use this code, but don't work with labels. library(ggplot2) ggplot(data1, aes(x = Year, y = value,fill=type,width=1))+ geom_bar(stat="identity",position="identity")+ scale_y_continuous(breaks = round(seq(-100, 100, by = 10),10))+ theme_bw() the data used

Hello R help-ers, I have a basic question, but I have been playing with it for a while and haven't quite gotten a hang of how to get it working. I want to perform multiple one-way ANOVAs on subsets of data and am not sure how to do it in an automated way. I am thinking of doing something similar to 'aggregate' but I would like to collect all of the ANOVA results in a way in which I

Dear Rxperts, I have a varaibles data file that looks like this p(1) 10 p(1) 3 p(1) 4 p(2) 20 p(2) 30 p(2) 40 p(3) 4 p(3) 1 p(1) 2 I cannot process these data with R because it does not like the parentheses. How can I get these to look like: p1 10 p1 3 p1 4 p2 20 p2 30 p2 40 p3 4 p3 1 p3 2 The data is in a tab delimited text file and I want to get it into a data.frame(). Many thanks in

I've tried this issue and could reproduce this issue: 1.Convert a guest with 2 disks to rhev. # virt-v2v -ic xen+ssh://10.66.106.64 -o rhev -os 10.66.90.115:/vol/v2v_auto/auto_export rhel6.6-i386-hvm -on 2disk-test -of qcow2 [ 0.0] Opening the source -i libvirt -ic xen+ssh://10.66.106.64 rhel6.6-i386-hvm [ 16.0] Creating an overlay to protect the source from being modified [ 47.0]

Hi, I meet an amazing issue, when I convert a raw file to the oVirt environment using virt-v2v. All seems to work fine, my VM is composed of 9 disks, the processes finishes without any trouble, the files are well present in the right import volume, but only the first system disk appear un my oVirt Import VM. I've retried twice and had the same issue . Here the results of the conversion : [