similar to: Patch for menu position on screen

We're currently working for project OpenElec on a syslinux menu. We would like to know if it's possible to move the menu position to the middle/bottom instead of the top... Currently we simply use the Vesamenu as it doesn't require much more functionality. I saw a post regarding the option MENU STARTROW, but that doesn't seem to work (anymore?). Any suggestions are welcome.

Dear R and sweave users A further problem, which I couldn't resolve, using the manual: In R I use the split.screen command to put e.g. two timecourses one above the other into one plot: split.screen(c(2,1)) screen(1) plot(stick,type='h', col="red",lwd=2) screen(2) plot(deconvolution.amplitude,type='h',col="blue",lwd=2) Is there a similar way, doing this

Buenos días Antes con el paquete "XLConnect", podía leer y escribir en un lugar determinado en Excel tal y como indico a continuación in1_wb <- loadWorkbook("aa.xlsx") data1 <- readWorksheet(in1_wb, sheet="Sheet1", header = FALSE, startRow = 1, startCol = 1, endRow = 5, endCol = 8) in2_wb <- loadWorkbook("bb.xlsx") data2 <-

Hola, Belén. Podrías indicar qué error te da? En principio el paquete XLConnect funciona correctamente (tanto si lo descargas desde el CRAN como desde GitHub). Puede que no tenga que ver directamente con el paquete... alguna dependencia que no encuentra? Java? ... Un saludo, Miguel. ________________________________ De: R-help-es <r-help-es-bounces en r-project.org> en nombre de

Hi, Attached are two datasheet to be read. My raw data "130502temp.xlsx" contains numbers with ' symbols, and they can't be read as numbers. Even if I copy and paste as numbers to form a new file "130502temp_number1.xlsx", they could not be read smoothly. 1. How can I read the datasheet as numbers? 2. How can I treat the notation "-" as (1)

> Hi, > > I have been using syslinux on my portable disk with success on many > types of machines (both bios boot and EFI boot) > > I however hit a small issue recently > > If I use menu.c32, on some UEFI systems (HP) the menu does not appear > after the vendor splash screen. The system however goes ahead and > after the timeout configured in the menu system

Hi Everybody I have started to learn how to use the XLConnect package and I think it is going to be very helpful to help me to operate between Excel users. Is there a function that can export a dataframe to a Excel sheet and automatically create a named region for every column (excluding the column heading) that correspond to the column name? If this is possible one can then also create formulae

On Fri, Jul 8, 2016 at 11:46 AM, Ady Ady via Syslinux <syslinux at zytor.com> wrote: > >> Hi, >> >> I have been using syslinux on my portable disk with success on many >> types of machines (both bios boot and EFI boot) >> >> I however hit a small issue recently >> >> If I use menu.c32, on some UEFI systems (HP) the menu does not appear

Hello everyone, Today is exactly 10 years ago that tinc 1.0 was released. I would have hoped to celebrate this by releasing 1.0.22 and 1.1pre8 today, but this will instead happen in one week. Tinc 1.1 is close to becoming stable, and I hope to release 1.1.0 before the end of the year. The main features of tinc 1.1 are the improved security over tinc 1.0, and a much nicer interface that makes it

Hello everyone, Today is exactly 10 years ago that tinc 1.0 was released. I would have hoped to celebrate this by releasing 1.0.22 and 1.1pre8 today, but this will instead happen in one week. Tinc 1.1 is close to becoming stable, and I hope to release 1.1.0 before the end of the year. The main features of tinc 1.1 are the improved security over tinc 1.0, and a much nicer interface that makes it

While using the Hodges Lehmann Mean in DescTools (DescTools::HodgesLehmann), I found that it generated incorrect answers (see <https://github.com/AndriSignorell/DescTools/issues/97> https://github.com/AndriSignorell/DescTools/issues/97). The error is driven by the existence of tied values forcing wilcox.test in Base R to switch to an approximate algorithm that returns incorrect results - see

Dear All, I would like to use the simprof function (clustsig package) but the available distances do not include Jaccard distance, which is the most appropriate for pres/abs community data. Here is the core of the function: > simprof function (data, num.expected = 1000, num.simulated = 999, method.cluster = "average", method.distance = "euclidean", method.transform =

hi list sorry my english is not perfect :( im using pxeboot with vesamenu.c32 in default file i load a backgroundpic (*.jpg) but the vesamenu border overlaps pieces of my background picture ^^ my question is an all coders from syslinux can you make a MENU command like topmargin MENU LABEL xxxx MENU WITH xx MENU MARGIN xx (from left) .... MENU TOPMARGIN xx (from top) <- new to

again, under another subject: sorry, maybe an all too trivial question. But we have power data from J frequency spectra and to have the same range for the data of all our subjects, we just transformed them into % values, pseudo-code: power[i,j]=power[i,j]/sum(power[i,1:J]) of course, now we have a perfect linear relationship in our x design-matrix, since all power-values for each subject sum up

Dear r-helpers, I have a small dataset (n<50), and I want to compute the Hodges Lehmann exact confidence interval. So far, I know that "pairwiseCI" has the function "HL.diff". The description is as follows : HL.diff calculates the Hodges-Lehmann confidence interval for the difference of locations by calling wilcox.exact in package exactRankTests ; But when I check

Dear R-users How can I get the eigenvalues out of an lda analysis? thanks a lot christoph -- Christoph Lehmann <christoph.lehmann at gmx.ch>

Hi I need to overlay two pixmaps (library (pixmap)). One, a pixmapGrey, is the basis, and on this I need to overlay a pixmapIndexed, BUT: the pixmapIndexed has set only some of its "pixels" to an indexed color, many of its pixels should not cover the basis pixmapGrey pixel, means, for this "in pixmapIndexed not defined pixels" it should be transparent. What would you

Dear R experts I have the follwoing data V1 V2 1 -5.8000000 0 2 -4.8000000 0 3 -2.8666667 0 4 -0.8666667 0 5 -0.7333333 0 6 -1.6666667 0 7 -0.1333333 1 8 1.2000000 1 9 1.3333333 1 and I want to know, whether V1 can predict V2: of course it can, since there is a perfect separation between cases 1..6 and 7..9 How can I test, whether this conclusion (being able to assign an

Hi I need to define the following c("one group" = class.weight[2], "other group" = class.weight[1]) #class.weight = c(1,2) but I don't like the hard-coded way and would like to use my.group <- array(c("one group", "other group")) but now c(my.group[1] = class.weight[2], my.group[2] = class.weight[1]) gives an error how can I solve this

am I right in the assumption, that for calculation of the condition numbers I have to use the correlation matrix of X, and not t(x) %*% x? > e <- eigen(t(x) %*% x) better (x must not have a first column of ones): > e <- eigen(cor(x)) > e$val [1] 6.6653e+07 2.0907e+05 1.0536e+05 1.8040e+04 2.4557e+01 2.0151e+00 > sqrt(e$val[1]/e$val) [1] 1.000 17.855 25.153 60.785 1647.478