similar to: data management

Dear ReXperts, I have the below text file output. I need to extract the T, QC, QO, QO-QC and WT columns for the data between T = 10 and T=150. Any ideas? Thanks in advance. ======================================================================================== 1 D C ---CAT-- T THETA QC QO QO-QC QC/QO WT FSD 8 1 0 1.0000E+01

Should I submit this as a bug report? --- reg-tests-3.Rout.save Thu Jul 3 09:55:40 2003 +++ reg-tests-3.Rout Sun Nov 23 13:10:57 2003 @@ -1,17 +1,18 @@ -R : Copyright 2003, The R Development Core Team -Version 1.8.0 Under development (unstable) (2003-07-03) +R : Copyright 2003, The R Foundation for Statistical Computing +Version 1.8.1 (2003-11-21), ISBN 3-900051-00-3 R is free software and

System info: Linux slackware R Version 1.5.1 (2002-06-17) ESS 5.1.21 Emacs 21.2.1 ------------------- Colleagues I have some text files in a certain directory and want to process them sequentially. So I want to pass the filename identifier into a function and loop through the processing of each file in turn.I've called the file identifier f in this code segment: image.dvm <- function

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Greetings, I implemented BRugs to run the EWOC model with a cohort size N=1. I output the simulation data using bugsdata(data), where data is the following list. > data $Dose [1] 140 $Y [1] 0 bugsdata(data) puts out the file data.txt as follows. list(Dose=1.40000E+02, Y=0.00000E+00) after I type the following line modelData("data.txt")

Hi all, I have data size of : > dim(sample) [1] 35943 17 The first column is "stdate" - is date ( 01/11/2009 00:00:00,02/11/2009 00:00:00,02/11/2009 00:00:00 etc... ) Login is 13th column - is numbers (12,0,1 erc...) The below operation return the following error. > sample1 <- read.csv(file="sample1.csv",sep=",",header=TRUE) > avglog <-

I have a data-set that is structured as follows: sp wg n v.realtime v.cputime v.tcputime v.idletime v.nswtch 9 0 1 1 28.61300 28.61 28.6039 0.00000e+00 407 1563 0 1 2 15.20270 30.38 28.5981 9.80523e-01 483 3128 0 1 4 12.50930 50.00 28.6053 1.07877e+01 489 4682 0 1 6 12.10260 72.55

Hi, all: Two examples are shown below. I want to use the multiple comparison of Dunnett. It succeeded in upper case "example 1". However, the lower case "example 2" went wrong. In "example 2", the function pmvt return NaN, so I cannot show this simtest result. Is there any solution? (I changed the variable "maxpts" to a large number in front of the

Guys, I just deployed "Samba4 AC DC", with a Secondary DC in place, the replication seems to be working as expected, the command "samba-tool drs showrepl" shows INBOUND / OUTBOUND / KCC CONNECTIONS, plus, "log level = 3" on both servers shows a lot of information about the replication... But, when I run: --- host -t SRV _ldap._tcp.central.tcmc.com.br --- I'm

Hello I want to make some variables with the ifelse-function, but i don't know how to do it. I want to make these five variables; b2$PRRSvac <- ifelse(b2$status=='A' | b2$status=='Aa',1,0) b2$PRRSdk <- ifelse(b2$status=='B' | b2$status=='Bb',1,0) b2$sanVac <- ifelse(b2$status=='C' | b2$status=='sanAa',1,0) b2$sanDk <-

Hi, After reading https://llvm.org/docs/Vectorizers.html#vectorization-of-function-calls I decided to write the following C++ program: #include <cmath> using v4f32 = float __attribute__((__vector_size__(16))); v4f32 fct1(v4f32 x) { v4f32 y; y[0] = std::sin(x[0]); y[1] = std::sin(x[1]); y[2] = std::sin(x[2]); y[3] = std::sin(x[3]); return y; } v4f32 fct2(v4f32 x) { v4f32 y;

I'd like to use linear and quadratic trend analysis in order to find out a change in slope. Basically, I need to solve a similar problem as discussed in http://www.gseis.ucla.edu/courses/ed230bc1/cnotes4/trend1.html My subjects have counted dots: one dot, two dots, etc. up to 9 dots. The reaction time increases with increasing dots. The theory is that 1 up to 3 or 4 points can be counted

 Good Morning , I want to sample the following time series for every third hour. For example at 00:00,03:00,06:00,09:00 etc.                     2011-01-01 00:00:00 0.000000e+00 2011-01-01 01:00:00 1.471667e+01 2011-01-01 02:00:00 1.576667e+01 2011-01-01 03:00:00 0.000000e+00 2011-01-01 04:00:00 0.000000e+00 2011-01-01 05:00:00 0.000000e+00 2011-01-01 06:00:00 0.000000e+00 2011-01-01 07:00:00

I got a NT PDC and an Samba server (ver. 2.2.3a) that participates in the domain 'NT_DOMAIN'. The Samba server provide file and print sharing to my private network, but it authenticates user indirectly via the 'NT_1' PDC. All the PC clients (Win98) were configured to logon to "workgroup" instead of domain.This has been always fine until some guies brought in XP Home

Hello! I tried to use imap-hibernate. But errors in maillog: Oct 19 05:14:24 server dovecot: imap(email at example.com)<67125><Lu7ndYt4n8aASO/q>: Error: kevent(-1) for notify remove failed: Bad file descriptor Oct 19 05:14:24 server dovecot: imap(email at example.com)<67125><Lu7ndYt4n8aASO/q>: Error: close(-1) for notify remove failed: Bad file descriptor Oct 19

Yes, After I changed mode and user/group Oct 18 19:17:50 server dovecot: imap(email at example.com)<57613><VVXuZ4N4avOASO/q>: Error: kevent(-1) for notify remove fail ed: Bad file descriptor Oct 18 19:17:50 server dovecot: imap(email at example.com)<57613><VVXuZ4N4avOASO/q>: Error: close(-1) for notify remove failed: Bad file descriptor Oct 18 19:17:50 server dovecot:

I tested with FreeBSD 11 and it worked just fine... did you follow https://wiki.dovecot.org/IMAPServer/Hibernation this to set it up? Aki > On 23 October 2018 at 10:15 Alex <alex at jili.ga> wrote: > > > Aki, is it configuration error or dovecot bug ? > Can I use imap-hibernate on FreeBSD ? > > > > Alex ????? 2018-10-19 10:31: > > Yes, > > >

Dear Friends. I found something very puzzling with constOptim(). When I change the parameters for ConstrOptim, the error messages do not seem to be consistent with each other: > constrOptim(c(0.5,0.3,0.5), f=fit.error, gr=fit.error.grr, ui=ui,ci=ci) Error in constrOptim(c(0.5, 0.3, 0.5), f = fit.error, gr = fit.error.grr, : initial value not feasible > constrOptim(c(0.5,0.9,0.5),

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I find it's just great to be able to say: library(tseries) x <- get.hist.quote(instrument="ongc.ns") and it gets a full time-series of the stock price of the symbol ongc.ns from Yahoo quote. However, once my hopes have been raised by such beauty :-) I get disappointed when I do > plot(x) and the annotation is horrible! The x axis is not labelled as dates. The default