similar to: Large dataset operations

List, I want to reshape my data, but I'm not sure how to do it... it might be a simple task, but don't know which package does this. "occ.data" (see below) is how my original data are arranged, and I know that with melt() I can reshape it like "y" (see below). However, I just want to build a matrix like the "y" matrix, but with only 2 dimensions. Something

Hi all, I am trying to convert a data set of physician death codings (each individual's cause of death is coded by multiple physicians) from long to wide format, but the "reshape" function doesn't seem to work because it requires a "time" variable to identify the sequence among the repeated observations within individuals. My data set has no order, and different

I have a simple 1 way anova coded like summary(ANOVA1way <- aov(Value ~ WellID, data = welldata)) How can I use the BY function to do this ANOVA for each group using another variable in the dataset?? I tried coding it like this, but it doesn't seem to work. summary(ANOVA1way <- by(welldata, Analyte, function(x) aov(Value ~ WellID, data = welldata))) In SAS I would code it like this:

Are there any differences with how both IDLE and "UID FETCH n:n+x (FLAGS UID...)" are handled when Dovecot is using a "mail" vs. a "Maildir" user? I have recently implemented support for IDLE (Push E-mail) in a client infrastructure that I'm building. I haven't in depth checked out what the problem might be, but when Dovecot was using the "mail" dir

Hello all. Again I call upon the greats of this mailing list to help me with an issue related to MEMDISK - notably when paired with various Dell OptiPlex and Latitude systems. The issue presented itself sometime ago and I best dealt with it by remaining with version 3.83 of the SYSLINUX package. But valuing the improved changes fostered by newer versions, I would prefer to move forward with

I am trying to find an efficient way to select certain text files from a folder with thousands of text files. I used file.list function with a specific "pattern" to obtain 70 files for each of the i's in 1:100. Next, I need to select some files from this list of 70 files. The files to be selected do have a unique "pattern" in their file name. However, I cannot use

Hello, On 23.07.2014 15:07, Ady wrote: >> Is there something I can test or help to diagnose? > > What about 6.03-pre18 (or newer)? > http://www.kernel.org/pub/linux/utils/boot/syslinux/Testing/ 6.03-pre18 is still slow: > 16:06:07.494125 IP dell.phahn.dev.49232 > xen12.phahn.dev.57501: UDP, length 4 > 16:06:07.494250 IP xen12.phahn.dev.57501 >

On Tue, 7 Nov 2017 19:19:23 +0200 Timo Sirainen <tss at iki.fi> wrote: > On 7 Nov 2017, at 9.15, Stephan von Krawczynski <skraw.ml at ithnet.com> wrote: > > > > On Tue, 07 Nov 2017 13:19:12 +1000 > > Noel Butler <noel.butler at ausics.net> wrote: > > > >> mail_location Optionally disable indexes using :INDEX=MEMORY > >>

# I have a dataframe with data and factors similar to the following: a <- rep(c("a", "b"), c(6,6)) df <- data.frame(f=a, d=rnorm(12)) df # I am trying to write a 'for' loop which will produce a jpeg histogram for each factor. I can individually isolate the data from a factor and produce a jpeg histogram like so: fnc <- function(x){ x <-

Hi, I've got a question regarding pxelinux: It seems that there is a buck in syslinux 3.86 (or still is in the current build) in the reset_pxe function. If I call "syslinux_local_boot(0)" (in a COM32 binary) the KeepPXE variable is always 1 which resets the PXE stack instead of unloading it: local_boot: push cs pop ds mov [LocalBootType],ax call vgaclearmode mov

Hi, consider the following two dataframes: x1=c("232","3454","3455","342","13") x2=c("1","1","1","0","0") data1=data.frame(x1,x2) y1=c("232","232","3454","3454","3455","342","13","13","13","13")

Hello, I have a problem with our DELL E6510 notebooks (BIOS version A05): 1. After the update from syslinux-3.71 to 4.02 LOCALBOOT no longer works. I've read <http://www.syslinux.org/wiki/index.php/Hardware_Compatibility#LOCALBOOT_on_Dell_Latitude_E6400> and neither version works. The behavior differs between the laptop rebooting automatically and getting stuck. I checked all versions

#I have a dataset with two factor. I want to combine those factors into a single factor and count the number of data values for each new factor. The following gives a comparable dataframe: a <- rep(c("a", "b"), c(6,6)) b <- rep(c("c", "d"), c(6,6)) df <- data.frame(f1=a, f2=b, d=rnorm(12)) df # I use the 'interaction' function to combine

> From: Richard Cotton <richierocks at gmail.com> > > The rep function is very versatile, but that versatility comes at a > cost: it takes a bit of effort to learn (and remember) its syntax. > This is a problem, since rep is one of the first functions many > beginners will come across. Of the three main uses of rep, two have > simpler alternatives. > > rep(x,

I am attempting to use the lars package with a sparse input feature matrix, but the following fails: library(Matrix) library(lars) data(diabetes) attach(diabetes) x = as(as.matrix(as.data.frame(x)), 'dgCMatrix') lars(x, y, intercept = FALSE) Error in scale.default(x, FALSE, normx) : > > length of 'scale' must equal the number of columns of 'x' > > More

>>>>> Michael Chirico <michaelchirico4 at gmail.com> >>>>> on Tue, 27 Feb 2018 20:18:34 +0800 writes: Slightly amended 'Subject': (unimportant mistake: a dgeMatrix is *not* sparse) MM: modified to commented R code, slightly changed from your post: ## I am attempting to use the lars package with a sparse input feature matrix, ## but the following

On Tue, 07 Nov 2017 13:19:12 +1000 Noel Butler <noel.butler at ausics.net> wrote: > mail_location Optionally disable indexes using :INDEX=MEMORY > > don't use this on IMAP boxes, but is safe to use on SMTP and POP3's > boxes though > > eg: > > mail_location = > maildir:/var/vmail/%Ld/%1Ln/%1.1Ln/%2.1Ln/%Ln/Maildir:INDEX=MEMORY > > --

On Sat, Jul 12, 2014 at 3:38 PM, Alexander Perlis <aperlis at math.lsu.edu> wrote: > On 07/12/2014 02:24 PM, Gene Cumm wrote: >> >> On Sat, Jul 12, 2014 at 3:15 PM, Alexander Perlis <aperlis at math.lsu.edu> >> wrote: >>> >>> On 07/11/2014 09:39 PM, Gene Cumm wrote: >>>> >>>> >>>> With everything else from

What I want to do is create a horizontal bar chart matrix for a set of data that have a common set of variables (e.g., % of As, % of Bs, etc.) listed on the Y-axis and groups (e.g., Classes) on the X-axis. The key here is that the bars for each individual class plot are "centered" rather than left or right-justified. In archaeology plots similar to this are called battleship curves or

Hi, I think this is a pretty basic question. I still couldn#t find the answer to it, though. I have some data loaded into R, which looks like this: > data() ... 38358 Advice Article 38359 Advice Article 38360 GeneralInfo List 38361 GeneralInfo Article 38362 Purchase Paragraphs 38363 Purchase List 38364 Purchase Paragraphs ... I now