similar to: error code 1 while using syslinux

> > syslinux4.exe -maf G: > Return code : 1 > Output : > Error : Could not write the whole boot sector > In addition to my comments in my prior email in this same email thread, (FWIW and for other readers) I should add that for latest version 4.xx and onwards, a more-adequate command should had been: syslinux[64].exe -mai <drive_letter>: and reflecting the original

Amardeep Verma via Syslinux <syslinux at zytor.com> writes: > syslinux4.exe -maf G: > Return code : 1 > Output : > Error : Could not write the whole boot sector > > I have tried to do this with syslinux4, syslinux5, syslinux6 with the > same error message. The usb drive is formatted to FAT32 drive system > and has a capacity of 4GB. The OS that I am using is Windows

It occured with every BIOS system I tested on (none of them Dell): 1. HP G62 laptop (i3) 2. Samsung RV520 (i3) Don't know what system Philip Muller uses; have copied him in as he has far more technical knowledge than I do. Syslinux tested from Arch and Manjaro (an Arch derivative). Basically found then when creating latest ISO images. I may be missing something as well about the FMs. Just

Hey guys, I can't seem to figure out how to debug a COM32 app with GDB under qemu. I start "qemu -s" and then "gdb hello.elf ; target remote:1234" but can't set any breakpoints that work. I"m using syslinux4 (pathbased from the repo). Can anyone verify that they can use qemu+com32+gdb with something as simple as com32/samples/hello.c32 ? Also, is it

On 11/24/2013 09:56 AM, Ady wrote: >> The very early code that emits this message is *identical* between >> Syslinux 4 and Syslinux 6. The biggest difference is the size of >> isolinux.bin, so it is possible that that might be the source of the >> problem. >> >> -hpa > > I wonder if isolinux.bin should be limited to max. 16 sectors (of > 2KiB

Hello all Asterisk Users, This is my first post here. We are in a process of moving Dialogic 240/JCT-T1 from old voicemail server to Asterisk box. Which card drivers do we need? Please share experience if anyone have successfully configured Dialogic JCT-T1 card with asterisk? Only source proves that this card work with * http://lists.digium.com/pipermail/asterisk-dev/2003-April/000244.html

Hi Ady, I'm the developer of manjaroiso, the tool we use to build our install medias for Manjaro Linux. During our testings we found out, that syslinux6 won't work on older hardware. I've a new Lenovo i7 notebook which booted up our images just fine. Even with syslinux6. On my other PCs I got similar error messages as Carl got. Here is the code I'm using for either syslinux6

Hi there, since I didn't had the time to test, this might be the solution for the issue Arch-based distros faced: https://projects.archlinux.org/svntogit/packages.git/plain/trunk/syslinux-6.02-fix-chainloading.patch?h=packages/syslinux This is included in the latest syslinux package you find in testing/unstable at Manjaro. kind regards Phil On 11/23/2013 03:44 PM, Philip M?ller wrote:

Hello, I've encountered a very weird issue with the method subset(), or maybe this is something I don't know about said method that when you're subsetting based on the columns of a data frame you can only use constants (0.1, 2.3, 2.2) instead of variables? Here's a look at my data frame called 'ea.cad.pwr': *>ea.ca.pwr[1:5,] MAF OR POWER 1 0.02 0.01 0.9999 2 0.02

Thank you for the suggestion, Bill. The result is not quite what I would like. Here's sample code for you or anyone else who may be interested: Al1 = c('A','C','C','C') Al2 = c('G','G','G','T') Freq1 = c(0.0078,0.0567,0.9434,0.9908) MAF = c(0.0078,0.0567,0.0566,0.0092) m1 = data.frame(Al1=Al1,

Hello, All! How might one accomplish this using the by() function? m1 is a data frame. # populate column "m1$major_allele" for ( i in 1:length(m1$major_allele)) { if ( m1$Freq1[i] == m1$MAF[i]){ m1$major_allele[i] = m1$Al1[i] } else{ m1$major_allele[i] = m1$Al2[i] } } Jim [[alternative HTML version deleted]]

The loop : AllMAFs <- list() for (i in length(SeparatedGroupsofmealsCombs) { AllMAFs[[i]] <- apply( SeparatedGroupsofmealsCombs[[i]], 2, function(x)maf( tabulate( x+1) )) } gives these errors (I tried this many times and I'm sure I copied it entirely) :- Error in apply(SeparatedGroupsofmealsCombs[[i]], 2, function(x) maf(tabulate(x + : object 'i' not found > }

Thanks Boris , this was very helpful but I'm struggling with the last part. 1) I combined the first 2 columns :- library(tidyr) SingleMealsCode <-unite(MyData, MealsCombinations, c(MealA, MealB), remove=FALSE) SingleMealsCode <- SingleMealsCode[,-2] 2) I separated this dataframe into different dataframes based on "MealsCombination" column so R will recognize each meal

> On Nov 18, 2017, at 1:52 AM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > Although the loop seems to be formulated correctly I wonder why > it gives me these errors : > > -object 'i' not found > - unexpected '}' in "}" You probably did not copy the entire code offered. But we cannot know since you did not "show your code",

Combine columns 1 and 2 into a column with a single ID like "33.55", "44.66" and use split() on these IDs to break up your dataset. Iterate over the list of data frames split() returns. B. > On Nov 17, 2017, at 12:59 PM, Allaisone 1 <allaisone1 at hotmail.com> wrote: > > > Hi all .., > > > I have a large dataset of around 600,000 rows and 600

Although the loop seems to be formulated correctly I wonder why it gives me these errors : -object 'i' not found - unexpected '}' in "}" the desired output is expected to be very large as for each dataframe in the list of dataframes I expect to see maf value for each of the 600 columns! and this is only for for one dataframe in the list .. I have around 150-200

Hi all .., I have a large dataset of around 600,000 rows and 600 columns. The first col is codes for Meal A, the second columns is codes for Meal B. The third column is customers IDs where each customer had a combination of meals. Each column of the rest columns contains values 0,1,or 2. The dataset is organised in a way so that the first group of customers had similar meals combinations, this

Always reply to the list. I am not a free, private consultant! "For example, if I have the values : 1 , 2 , 3 in each column, applying Tabulate () would calculate the frequency of 1 and 2 without 3" Huh?? > x <- sample(1:3,10,TRUE) > x [1] 1 3 1 1 1 3 2 3 2 1 > tabulate(x) [1] 5 2 3 Cheers, Bert Bert Gunter "The trouble with having an open mind is that people

Hi, I encounter a problem with Syslinux 5.00 I cannot really describe. So I created two small videos: Booting with Syslinux 5.00 (1.3 MB): <https://www.dropbox.com/s/b6g8cdf2t9v48c6/boot-syslinux5-fail.mp4> How I fixed the problem by downgrading to Syslinux 4.06 and how booting should look like (6.5 MB): <https://www.dropbox.com/s/lt7cpgfm0qvqtba/boot-syslinux5-how-i-fixed-it.mp4>

Something like the following? AllMAFs <- list() for (i in length(SeparatedGroupsofmealsCombs) { AllMAFs[[i]] <- apply(SeparatedGroupsofmealsCombs[[i]], 2, function(x)maf(tabulate(x+1))) } (untested, of course) Also the solution is a bit generic since I don't know what the output of maf() looks like in your case, and I don't understand why you use tabulate because I would have