Displaying 20 results from an estimated 23 matches for "kabeli".
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kabel
2009 Sep 09
3
Help on percentage of random numbers for different classes
...2 6 7 4 8 8 9 7
[51] 6 5 4 1 8 7 9 8 10 5 3 7 5 5 4 4 7 4 10 4 9 1 5 10 10
[76] 5 5 10 7 3 4 4 9 10 6 2 6 6 6 3 8 2 2 4 4 10 6 9 4 3
I just want to try to avoid small numbers as much as possible. I am open to suggestions, please please please.
Kabeli
[[alternative HTML version deleted]]
2009 Sep 24
1
Fw: Re: Multiple Normal Curves
Sorry about the subject
--- On Thu, 24/9/09, KABELI MEFANE <kabelimefane@yahoo.co.uk> wrote:
From: KABELI MEFANE <kabelimefane@yahoo.co.uk>
Subject: Re: [R] Multiply Normal Curves
To: R-help@r-project.org
Date: Thursday, 24 September, 2009, 11:48 AM
R -helpers
i have been trying to do this problem without must success,i managed to...
2009 Sep 12
1
(no subject)
Dear All
I hope you can help me with this small problem. I want to draw a normal distribution line to this data:
p<-rnorm(100, mean=50000, sd=3000)
hist(p)
Kabeli
[[alternative HTML version deleted]]
2009 Oct 01
5
How to use Subpopulation data?
Dear Helpers
I have a sample frame and i have sampled from it using three methods and now i want to calculate the statistics but i only get the population parameters.
H <- matrix(rnorm(100, mean=50000, sd=5000))
sampleframe=data.frame(type=c(rep("H",100)),value=c(H))
sampleframe
str=strata(sampleframe,c("type"),size=c(20,), method="srswor")
2018 Apr 11
9
[Bug 2856] New: key-options.sh fails when pty /dev/ttyp1 is not owned by testing user
https://bugzilla.mindrot.org/show_bug.cgi?id=2856
Bug ID: 2856
Summary: key-options.sh fails when pty /dev/ttyp1 is not owned
by testing user
Product: Portable OpenSSH
Version: 7.6p1
Hardware: ix86
OS: NetBSD
Status: NEW
Severity: minor
Priority: P5
Component:
2019 Mar 06
2
CentOs 7 i386 & PAE Kernel
On 3/6/19 1:28 PM, Johnny Hughes wrote:
> On 3/6/19 6:26 AM, Mike McTernan (wavemobile) wrote:
> > On 3/5/19 5:48 PM, Johnny Hughes wrote:
<snip>
> > Last question, if I may - Is there any specific reason why an i686 PAE
> > kernel built from the main RHEL sources isn't in the AltArch i386 os- repo?
> >
> > Notably CentOS 6 provided both non-PAE and
2019 Jan 25
0
[klibc:update-dash] builtin: create builtins.c properly on old cpp
Commit-ID: 8c6e2cecf64aed820dd63a1c4dcb3b141f0414ec
Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=8c6e2cecf64aed820dd63a1c4dcb3b141f0414ec
Author: kabe at sra-tohoku.co.jp <kabe at sra-tohoku.co.jp>
AuthorDate: Mon, 22 Dec 2014 14:50:23 +0900
Committer: Ben Hutchings <ben at decadent.org.uk>
CommitDate: Fri, 25 Jan 2019 02:57:21 +0000
[klibc] builtin:
2020 Mar 28
0
[klibc:update-dash] dash: builtin: create builtins.c properly on old cpp
Commit-ID: 9b271c8b259fff6930f58d2ea3346b0bdd5e66c2
Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=9b271c8b259fff6930f58d2ea3346b0bdd5e66c2
Author: kabe at sra-tohoku.co.jp <kabe at sra-tohoku.co.jp>
AuthorDate: Mon, 22 Dec 2014 14:50:23 +0900
Committer: Ben Hutchings <ben at decadent.org.uk>
CommitDate: Sat, 28 Mar 2020 21:42:54 +0000
[klibc] dash:
2009 Sep 09
1
Combining simulated data
R helpers
Please help me combine the simulated data to a form of table where: Hypermarket have 10 rows, supermarket have 15 rows,......., spazashops with 35 rows.
Hypermarket <- rnorm(10, mean=20000, sd=7000)
Supermarket <- rnorm(15, mean=12000, sd=4000)
Minimarket <- rnorm(20, mean=10000, sd=4000)
Cornershop <- rnorm(20, mean= 8000, sd=3000)
Spazashop <- rnorm(35, mean=
2009 Sep 24
0
Fw: Simulating and Plotting
...quot;)
curve(dnorm(x,mean=parms$mu[2],sd=parms$sigma[2]),from=1000,
to=80000, ylab="density", col="blue", add=TRUE)
curve(dnorm(x,mean=parms$mu[3],sd=parms$sigma[3]),from=1000,
to=80000, ylab="density", col="forestgreen", add=TRUE)
###
--- On Wed, 23/9/09, KABELI MEFANE <kabelimefane@yahoo.co.uk> wrote:
From: KABELI MEFANE <kabelimefane@yahoo.co.uk>
Subject: [R] Simulating and Plotting
To: R-help@r-project.org
Date: Wednesday, 23 September, 2009, 10:32 PM
R-helpers
I have been learning a little bit of R. I am simulating and i want to draw...
2019 Mar 07
1
CentOs 7 i386 & PAE Kernel
On 3/6/19 9:49 AM, Akemi Yagi wrote:
> On Wed, Mar 6, 2019 at 7:23 AM Mike McTernan (wavemobile)
> <mike.mcternan at wavemobile.com> wrote:
>>
>> On 3/6/19 1:28 PM, Johnny Hughes wrote:
>>> On 3/6/19 6:26 AM, Mike McTernan (wavemobile) wrote:
>>>> On 3/5/19 5:48 PM, Johnny Hughes wrote:
>>
>> <snip>
>>
>>>> Last
2019 Mar 06
0
CentOs 7 i386 & PAE Kernel
On Wed, Mar 6, 2019 at 7:23 AM Mike McTernan (wavemobile)
<mike.mcternan at wavemobile.com> wrote:
>
> On 3/6/19 1:28 PM, Johnny Hughes wrote:
> > On 3/6/19 6:26 AM, Mike McTernan (wavemobile) wrote:
> > > On 3/5/19 5:48 PM, Johnny Hughes wrote:
>
> <snip>
>
> > > Last question, if I may - Is there any specific reason why an i686 PAE
> >
2009 Aug 25
1
Simulating data (stupid question)
Dear All
?
I know that you do not have to help me but please do, i am new to R as a CPI compiler, i just need to do a sample to see which sampling method best works in different situations, therefore since this is for practice purposes nobody will finance a real project thats why i need you to help me direct me as to how simulate data (just direct me,not 100% help). See my attachment for problem
2009 Sep 12
4
Normal distribution
Dear All
let me go one step further by asking you if you could help me show that the distribution of this data in normal. have a little idea (by trial and error) but i seem to not fully understand how its done.
H<-rnorm(100, mean=50000, sd=3000)
par(las=1)
hist(H, breaks=seq(40000, 60000, 1000), freq=F)
f<- function(x) exp(-(x-5000)^2/18000000)/sqrt(18000000*pi)
x<- seq(40000,
2018 Jan 09
3
CentOS Linux 7 (1708) AltArch i386 Kernel
Red Hat no longer maintains the i386 kernel for RHEL 7.4.? We have been
using a modified kernel until this latest meltdown / spectre? release
(*kernel-3.10.0-693.11.6.el7*).
This latest release does not build on i386/i686 and we can't figure out
how to make it work.?
Build try:
https://buildlogs.centos.org/c7.1708.u.i386/kernel/20180109171431/3.10.0-693.11.6.el7.centos.plus.i386/
SRPM:
2018 May 10
3
[CentOS-announce] Release for CentOS Linux 7 (1804) on x86_64 aarch64 i386 ppc64 ppc64le
On May 10, 2018, at 1:33 AM, Karanbir Singh <kbsingh at centos.org> wrote:
>
> I am pleased to announce the general availability of CentOS Linux 7
> (1804) for across all architectures.
I?ve checked about a dozen of the mirrors, and see no *.torrent files yet. Any idea how long they?ll take to appear? I ask because we?re building a system today, so if it?s going to be more than
2018 Mar 22
16
Call for testing: OpenSSH 7.7
Hi,
OpenSSH 7.7p1 is almost ready for release, so we would appreciate testing
on as many platforms and systems as possible. This is a bugfix release.
Snapshot releases for portable OpenSSH are available from
http://www.mindrot.org/openssh_snap/
The OpenBSD version is available in CVS HEAD:
http://www.openbsd.org/anoncvs.html
Portable OpenSSH is also available via git using the
instructions at
2009 Sep 11
3
For sending my R package as part of R-project
...tents of R-help digest..."
Today's Topics:
1. Plot area reduction (rajesh j)
2. Re: Joining Characters in R {issue with paste} (Michael Dewey)
3. Re: Color index in image function (Bernardo Rangel Tura)
4. Re: Help on percentage of random numbers for different
classes (KABELI MEFANE)
5. Re: Order of multiple plots (Henrique Dallazuanna)
6. Re: Plot area reduction (Jim Lemon)
7. Build a connectivity between .NET and R without using any
interface (Amitava1 M)
8. Order a vector and move to new vector (Conrad Addo)
9. Re: lag a data.frame column? (Angel...
2009 Aug 25
0
Fw: Re: Simulating data (stupid question)
Dear All
I know that you do not have to help me (as this is not a pure R problem) but please do, i am new to R as a CPI compiler, i just need to do a sample to see which sampling method best works in different situations, therefore since this is for practice purposes nobody will finance a real project thats why i need you to help me direct me as to how simulate data (just direct me,not 100%
2009 Sep 24
0
Multiply Normal Curves
R -helpers
i have been trying to do this problem without must success,i managed to do a graph for x, but it is not what i want to define,(i want to specify number of observations as well). I have also been able to do simple rendom sample.
data.frame(ID=c(1,2,3),mu=c(10000,34000,50000),sigma=c(2000,3000,5000))
curve(dnorm(x,mean=parms$mu[1],sd=parms$sigma[1]),from=2000,
to=80000,