similar to: I20 Drivers Crash system when used with Rsync

I'm trying to install either 32-bit or 64 bit centos 4.3 and I keep getting an error: "No valid devices were found on which to install filesystems". In checking BIOS and RAID, everything seems fine, but I just found some research about I20. An alternative would be the i2o_blocks module. How can I install CentOS 4.3 x86_64 using i2o_blocks? How do I instruct the boot prompt to

Hi, I have a dataset with x and y coordinates and in each point I have an identity of point, in some cases I can have more then one identity by point. My dataset is something like this: > x <- rep(c(1:4),4) > y <- rep(c(1:4),c(4,4,4,4)) > area1 <- sample(factor(rep(c("a","b","c","d"),4))) > area2 <-

Dear list, When I use VennDiagram package, I got a error as follow: venn.plot <- draw.pairwise.venn( area1 = 3186, area2 = 325, cross.area = 5880); Error in draw.pairwise.venn(area1 = 3186, area2 = 325, cross.area = 588) : Impossible: cross section area too large. Does anyone have suggestion? Thank you.

I'm reading Torgo (2010) *Data Mining with R*<http://www.liaad.up.pt/~ltorgo/DataMiningWithR/code.html>in preparation for a class I'll be teaching next quarter. Here's an example that is very non-functional. > pH <- c(4.5,7,7.3,8.2,6.3) > names(pH) <- c('area1','area2','mud','dam','middle') > pH area1 area2 mud dam

Hi, following system: Dell PE2650, 2 2.4ghz Xeon, 1gb ram, Dell Perc4DC Controller It has EL5 installed, but I wanted to change to Centos because of the missing workstation packages in the entry server repository. The system was redhat up2date until yesterday, so the latest kernel was missing. I changed redhat-release to centos-release packages and the new centos kernel was installed the via

Hi there, I am not getting anywhere near a solution, so here is my question. I have searched the archives and didn't find a solution, but maybe my search didn't use the right words. So here it is: I have a dataframe with the following structure factor1 factor2 value In the (rather large) dataset I have to work on, there are some factor combinations missing, e.g. factor1 <-

Hello my name is Piercarlo and I've discovered a bug in smbd_audit when I trace a Samba 2.2.7 or 2.2.7a on red hat 7.3 -the error exist on the redhat 2.4.18-17kernel ,on the original rh73 2.4.18-3 kernel and on the standard linus kernel (I tried on 2.4.20)-->these kernels are all the kernels that I tried. This error appear when samba is configured as pdc with the roaming of the users

Hi all, I recently created a version of llvm/clang for an architecture with some odd properties: - front end side: -- char,short,int : 20 bits -- long, long long: 40 bits -- pointer: 20 bits On the backend side, I have hardware support for 20-bit registers (and load/stores). (So, I have support for 'i20' and 'i40', but 'i40' is lowered into operations on 'i20')

Hi, I have a confusion about types used in load/store, (http://llvm.org/docs/GetElementPtr.html#types) says that [...] Furthermore, loads and stores don't have to use the same types as the type of the underlying object. Types in this context serve only to specify memory size and alignment. Beyond that there are merely a hint to the optimizer indicating how the value will likely be used. [...]

R users, I have df like this a <- data.frame( indx = 1:20, var1 = rep(c("I20", "I40", "A50", "B60"), each=5), var1_lab= rep(c("cat", "dog", "mouse", "horse"), each=5), var2 = rep(c("B20", "X40", "D50",

I used the supersmoother function in the modreg package as follows: super <- supsmu(ilogemp,award) Then I decided that I might want additional explanatory variables (other than ilogemp) in my model. The ppr function in modreg seemed a logical extension of supsmu from univariate to multidimensional explanatory variables. As a "check" I ran the following: pprest <-

hello folks! i've got four HP NetServers, two LC2000r and two LH6000r. the CentOS 4.2 ServerCD can't see hard drives on any of them. each machine has a HP NetRAID controller; the LC2000rs have a NetRAID-1Si and the LH6000rs have an Integrated NetRAID. each controller has three 9GB drives, two mirrored and one hotspare. each machine boots ok (the LC2000rs need "linux

Hi everyone, I would like to subset a data.frame using partial values. For example I have the following data.frame: PROCHI Main_condition 1234 411 1235 4110 1236 4111 1237 I20 1238 I201 1239 I202 Now let's say that I use the Subset function. Ordinarily I would use it as follows Subset(x, Main_condition=="411"|Main_condition=="4110" etc to get

Hello: When I use SPSS I execute the AGGREGATE DATA comand for the next data: 2112141123212213212213334 3143244113442312121213344 2114141123112214212113344 2112211122212413421213221 3114444123442414343413344 2312231223212222323223322 2143241123212313131213234 2113241113212313222213333 2113141123112214212113344 2114141123412111114413344 2113211122342314222313234 2114141123112414212113344

R users, My intention is to take factors out of DF, create list of tables and export these tables separately using write.table or sink function. write.table writes tables out as DF:s, should I use sink instead? Here is my example: a <- data.frame( indx = 1:20, var1 = rep(c("I20", "I40", "A50", "B60"), each=5),

> On Dec 21, 2016, at 8:38 AM, Paul <paul at sec.in.tum.de> wrote: > > Hi Mehdi, > > thanks a lot for your email. Actually I was disappointed by the fact that I was not able to get a useful answer to my two questions. > As I observed that the questions move down along the list with time passing I decided to re-post them in the hope that the questions > will have a

Hi Jianzhou, > The other question is about 'when loading a value of a type like i20 > with a size that is not an integral number of bytes, the result is > undefined if the value was not originally written using a store of the > same type'. At this case, can we make an assumption that typically we > only load the 20 bits, but ignore extra bits, like what store does at >

Hi all, when enabling blind and attended transfers in features.conf, these only seem to work when I enable voicemail for a particular user. How can this be? Can I have transferrring without voicemail? Using Asterisk 1.4 by the way. Thank you! Bart

Hi, I am doing a hierarchical CFA using the sem package. I have 20 items, and I have 2 factors (F3 and F4), and also F1 and F2 are nested within F3. Here is the code that I have, but it is giving me an error message "Warning message: In eval(expr, envir, enclos) : Negative parameter variances. Model may be underidentified." and a further error "Error in summary.objectiveML(cfa,

My data frame looks like: SightingID PA1 PA2 PlotID InOverlap Area1 2001 1 -99 392 Y 0.22 2002 1 -99 388 Y 0.253 2008 1 NA 104 N 0.344 2010 1 NA 71 N 0.185 2012 1 NA 61 N 0.166 2013 1 NA 61 N 0.227 2014 1 NA 62