Displaying 20 results from an estimated 112 matches for "subdividing".
2009 Oct 12
1
Invoking par(mfrow...) on an already subdivided plot
I'd like to generate on a single device multiple plots, each of which
contains two plots. Essentially, I've got sub-plots which consist of
two tracks, the upper one displaying gene expression data, and the
lower one mapping position. I'd like to display four of these
two-track sub-plots on one device, but I can't seem to invoke the
par(mfrow=...) or layout(matrix(...)) functions at
2007 Aug 24
3
subdivide 64 kbit bandwidth 32kbit for WWW and 32 Kbit for mail
Hi all,
I''ve got a BOX running CentOS 4.5. It acts as a firewall + router.
I have installed both iptables and iproute2.
I has 3 network cards.
eth0 is connected to Internet (is has an internet ip. pls assume its ip is
1.2.3.4/29). it is a 256 Kbit link.
eth1 is DMZ. its ip is 192.168.100.254
eth2 is LAN. Its ip is 192.168.101.254
I have alreday shaped traffic to 64 Kbit on eth1 for
2004 May 31
2
shaping
Hi!
Is there any way to do just plain vanilla TBF (Token Buck Filter) type
shaping on a group of ips/networks, not an entire interface.
Currently the only way I know how to shape in Linux is to use HTB or CBQ,
but both of these need a total rate and then you need to subdivide that
into classes. That is not what I want. All I want is Cisco generic traffic
shaping style shaping (or similar to how
2007 Mar 15
1
Problem attaching htb class to a htb qdisc
I''m trying to build a QoS system that would divide the outgoing traffic
into four categories, each one also subdivided into two more categories.
For that I chose a htb root qdisc subdivided into four classes, each of
these classes contains also a htb qdisc. Until these point everything
goes well, but when I try to attach a new class to the leaf htb qdisc a
problem with the sintaxis
2008 Jan 29
5
pivot table in R
Hello,
I'm struggling with an elementary problem with R. I have a simple data
frame such as this one giving the number of accidents subdivided by sex,
age and region.
sex age region no_of_accidents
F young north 10
F young south 12
F old north 5
F old south 7
M young north 24
M
2011 Aug 21
1
How can I divide an image and randomly plot the segements
Hi! I would like to divide a 401 by 401 image into 20 equal blocks and then re-plot the image with the segments randomly distributed in it.
How can I do this?
.............
Regards,
Kenduiywo Benson
[[alternative HTML version deleted]]
2015 May 04
1
[LLVMdev] LLD improvement plan
> And now we're against the Atom model?
I'm quite new to the llvm community, and basically unfamiliar with LLD, so maybe I'm simply uninformed. If so, I will now proceed to demonstrate that to an entire list of people. :)
I've read the doc on http://lld.llvm.org/design.html, but the list of features it says that you get with LLD/Atoms and don't get with the "old
2013 Jan 07
2
list of lists to matrix
dear R family,
[a text file has been attached for better understanding]
i have a list of 16 and each of of that is further subdivided into variable number of lists. So, i have a kind of list into lists phenomenon.
[[1]]$'1'
1 2 3 4 5 6
7 8 9
[[1]]$'2'
1 2 3 4 5 6
7 8 9
i want to convert both these sublists into
2010 Apr 08
2
erasing an area of a graph
I have a case where the easiest way to draw a particular symbol would be
to draw something a little bigger, and then use polygon(... , col=0) to
erase the extra stuff. Just how to do this best when par('bg') =
'transparent' is, however, eluding me. I've looked through the archives
and the book R Graphics without quite seeing the light.
Help or pointers to help would be
2007 Jul 17
2
multiple rugs on a single plot
Hi
I could only find some discussion on this wrt lattice graphics (which I'm
not using). Apologies if I'm missing something obvious.
I'd like to produce 3 rug plots under a kernel density plot for a
population. The population is subdivided into 3 subpopulations, which I'd
like the rug plots to highlight. Naturally, when I do 3 rug plots, they all
plot over each other.
2009 Nov 14
4
Weighted descriptives by levels of another variables
I've noticed that R has a number of very useful functions for
obtaining descriptive statistics on groups of variables, including
summary {stats}, describe {Hmisc}, and describe {psych}, but none that
I have found is able to provided weighted descriptives of subsets of a
data set (ex. descriptives for both males and females for age, where
accurate results require use of sampling
2011 Mar 10
2
Reshape, melt and cast query
I have a dataset that is based on crop output for a single crop
*sugarcane*...but
each observation is further subdivided into 3 kinds of sugarcane
i have read the file and have also used melt it to sort it on the
basis of *crop
group* using
melt(sugarcane, m=c("Crop_group")) -> canefile
this is how it has cast the data
variable value
1 Crop_group Sugarcane
2007 Feb 22
2
rgl update: please test!
(This is bcc'd to a list of people who have had problems with rgl lately
or who are known to be big users; not cc'd, so you don't all get cc'd
all the responses on the R-devel list).
I've just put together a test build of rgl, and put it on my web site as
http://www.stats.uwo.ca/faculty/murdoch/software/rgl_0.70.564.tar.gz
(source)
and
2008 Sep 05
2
upgraded maps database for italy?
Dear UseRs,
I'm using the library maps. I'm drawing maps of Italy. The map available for
this library were prepared around *1989*:
"This italy database comes from the NUTS III (Tertiary Administrative Units
of the European Community) database of the United Nations Environment
Programme (UNEP) GRID-Geneva data sets. These were prepared around *1989*"
[cited:
2009 Dec 02
4
Again on overlaying plots (a plot region within a plot region)
Dear R-users,
after seeking for help in R-search
I did not find any hint on my particular problem.
Countless help on "true" overlay, but nothing on this.
Please consider the following:
par(mfrow = c(2, 1))
T <- seq(0, 20, by = 0.01)
## PLOT 1
plot(T, 30*exp(-0.65*T),
type = "l"
)
points(T, 30*exp(-0.26 * T), type = "l", lty = "F8")
points(T,
2009 Dec 19
1
Help with arguments in .Script
Dear R users,
my problem, at the moment, is the following:
I need to apply a script to a very big dataset, so I need first to subdivide the dataset into samples and then apply the script to every single sample.
Now I tried to solve the problem with these linest:
S00001<-data[data$sub==1,1:3] #which divide the dataset in samples based on the number on the column "sub"
2006 Jul 18
1
using split.screen?
Hello. I am having trouble understanding the use of split.screen. I want
to divide the device surface first into 4 equal screens:
split.screen(figs=c(2,2))
This works.
I next want to subdivide each of these 4 screens into 10 subscreens. I do,
for the first of these 4 screens:
screen(1,new=T)
and then: split.screen(figs=c(10,2))
My understanding is that this should split screen 1 (i.e.
2012 Jul 31
1
ways of getting around allocMatrix limit?
I need to multiply to very large, nonsparse matrices, and so get the
error "allocMatrix: too many elements specified".
Is there a way to set the limit for allocMatrix?
In my case, the two matrices, A and B, are nxm and mxp where m is
small, so I could subdivide each into blocks of submatrices
A=rbind(A1,A2,...) and B=cbind(B1,B2,...) then multiply each pair of
submatrices, but I was
2012 Oct 18
1
Mapping
I am a new user of R and am crunching through the system. I have reached an impasse with mapping; I want to make a bubble map and lay it over a grid that is composed of a standard x,y axis. Within this, are 16 (4x4) gridded blocks, numbered 1-16. And, within these individual hectares(1-16) it is further subdivided into individual x,y plots ( in accordance with the overall x,y axes). I have a
2007 Oct 30
2
Splitting up the micEcon package?
Dear R Users:
The functions of our "micEcon" package [1,2] can be subdivided into three
categories:
- microeconomic demand and firm models
- sample selection models (mainly selection())
- routines for (likelihood) maximisation (e.g. maxLik(), maxNR(), maxBHHH())
(mainly used for ML estimation of sample selection models)
Although sample selection models are often used in