Displaying 20 results from an estimated 3000 matches similar to: "Plotting Lines Through multiple groups"
2012 May 16
2
trouble with ifelse statement
Hello,
I apologize in advance for not providing sample data, I'm a very new to R
and can't easily generate appropriate sample data quickly. I'm hoping
someone can offer advice without it.
This code below works and does what I want it to do, which is for a given
row in my dataframe, where the variable "peak.cort" = max, it makes the
value of another variable
2023 Jan 30
2
question
Hi guys,
I am using the cor() function to see if there are correlations between March cortisol levels and December cortisol levels and I'm trying to figure out if the function is doing what I want it to do.
Each sample has it's own separate row in the CSV file that I'm working out of. March Cort and December Cort are different columns and they come from separate samples, therefore
2001 Jun 15
2
Difficult sample for vorbis w/ audible artifacts
I came across an interesting test sample the other day while trying to
compress some of my music and trying out different encoders. You can grab
the sample in question from here:
http://www.animus-facticius.org
drone_clip.zip is a 9 second clip of the track where the artifact is most
apparent, drone_short.pac is a 1 minute clip of track. The sample is from
the song "Drone" from
2013 Nov 04
1
Access denied when associating a driver with a printer
Hi,
I'm trying to get point & print working against a 4.0.10 Samba server (using the sernet packages if that's relevant).
I have the printer itself setup and I've uploaded the driver, but associating the uploaded driver with the printer causes Windows to give an error: "Printer settings could not be saved. Access is denied".
I'm seeing the same symptoms on XP and
1999 Mar 29
3
Modem Pooling with Samba
Has anyone used samba v2.0 to share pooled modems. I have a large pool of
identical modems available as a single TCP service on a terminal server with
Samba running under HP-UX 10.20 . Any ideas how to make this modems an
accessible share for Windows 95 clients
Reply to jcort@medisys.co.uk
2006 Jan 05
1
Account Unknown for users with Samba 3.0.11/14
Hi,
I've got a problem with a samba server I inherited which I can't solve.
I think it's the configuration rather than the version because I have
the same problem with a 3.0.14 and a 3.0.11 Samba server with almost
identical configurations. Both authenticate against LDAP, one has an
old smbpasswd file which should no longer be in use.
The issue is that when I click
2005 Aug 03
3
clara - memory limit
Dear all,
I'm trying to estimate clusters from a very large dataset using clara but the
program stops with a memory error. The (very simple) code and the error:
mydata<-read.dbf(file="fnorsel_4px.dbf")
my.clara.7k<-clara(mydata,k=7)
>Error: cannot allocate vector of size 465108 Kb
The dataset contains >3,000,000 rows and 15 columns. I'm using a windows
computer
2003 Jul 30
2
EOF error at io.c line 165
Hello All,
I keep getting rsync: connection unexpectedly closed (1074142 bytes read so far)
rsync error: error in rsync protocol data stream (code 12) at io.c(165). Does
anyone have any idea of what could cause this? I've gotten the same error on
two seperate machines. One UltraSparc running Linux and the other a
SparcStation running OpenBSD. We have an x86-SMP system running linux on the
2010 Jan 05
5
mean for subset
Hello, does anyone know how to take the mean for a subset of observations?
For example, suppose my data looks like this:
OBS NAME SCORE
1 Tom 92
2 Tom 88
3 Tom 56
4 James 85
5 James 75
6 James 32
7 Dawn 56
8 Dawn 91
9 Clara 95
10 Clara 84
Is there a way to get
2006 Apr 10
2
passing known medoids to clara() in the cluster package
Greetings,
I have had good success using the clara() function to perform a simple cluster
analysis on a large dataset (1 million+ records with 9 variables).
Since the clara function is a wrapper to pam(), which will accept known medoid
data - I am wondering if this too is possible with clara() ... The
documentation does not suggest that this is possible.
Essentially I am trying to
2009 May 15
2
Printing to screen a matrix or data.frame in one chunk (not splitting columns)
Hello,
I saw this nice trick I want to replicate but I lost the source and I hope
one of you can point me to the solution. My problem is that I don't know
the correct words to query this.
When I print to screen a matrix or data.frame the columns are split and
printed below the previous ones; even though I have plenty of screen left.
E.g.,
> my_matrix = matrix(runif(30),nrow=3,ncol=10)
2005 May 30
2
How to access to sum of dissimilarities in CLARA
Dear All ,
Since dissimilarity is one of quality measures in clustering , I'm trying to access to the sum of dissimilarity as a whole measure. But after running my data using CLARA I obtain :
1128 dissimilarities, summarized :
Min. 1st Qu. Median Mean 3rd Qu. Max.
0.033155 0.934630 2.257000 2.941600 4.876600 8.943700
But I can not find the sum of dissimilarity.How can i
2009 Dec 30
1
Fwd: Negbin Error Warnings
Dear Clara,
Thanks for the reply. I am forwarding your message to the list, ok.
When I wrote was a way of get further information to help the helpers.
happy holidays,
milton
---------- Forwarded message ----------
From: Clara Brück <clara_brueck@web.de>
Date: 2009/12/30
Subject: Re: [R] Negbin Error Warnings
To: milton ruser <milton.ruser@gmail.com>
Dear Milton,
Thanks for
2008 Mar 06
2
Clustering large data matrix
Hello,
I have a large data matrix (68x13112), each row corresponding to one
observation (patients) and each column corresponding to the variables
(points within an NMR spectrum). I would like to carry out some kind of
clustering on these data to see how many clusters are there. I have
tried the function clara() from the package cluster. If I use the matrix
as is, I can perform the clara
2008 Sep 30
1
CLARA and determining the right number of clusters
Hi everyone
I have a question about clustering. I've managed using CLARA to get a
clustering analysis of a large data set. But now I want to find which is the
right number of clusters.
The clara.object gives some information like the ratio between maximal and
minimal dissimilarity that says (maybe if lower than 1??) if a cluster is
well-separated from the other. I've also read something
2004 Feb 28
1
cluster-gruop-match with other attributes after na.omit
Hi,
i want a cluster-analysis with clara, but getting an
error because in cldat are NA's.
Error in clara(cldat[, 1:3], 4) : Each of the random samples contains objects
between which
no distance can be computed.
cldatx <- subset(cldat,select=c(A,B,C))
cldaty <- na.omit(cldatx)
Now , clara works but cldat has ~193.000 obs
and cldatx without NA's ~75.000 obs.
How could i match
2006 Dec 01
1
memory problem
hi to all,
frustated for this error, to day i buy a 1 GB memory
slot for my laptop
now it have 1,28GB instead the old 512, but i've the
same error :-(
damn!damn!....how can i do?
repeat for a little area (about 20X20 km and res=20m)
it work fine!
have you any suggestion?
is ther a method for look if this error depend from my
ram or other....?
thanks foe any suggestion!
i need your help.
2010 Jan 14
1
Clustering with clara
Hello everyone
I am trying to use CLARA method for finding clusters in my spatial surface
temperature data and noticed one problem. My data are in the form
lat,lon,temperature. I extract lat,lon and cluster number for each point in
the dataset. When I plotted a map of cluster numbers I found empty areas in
the map. The point is that the number of points that were assigned a cluster
number are
2003 Aug 10
3
high memory allocation
Hello,
I have trouble with my cluster analysis using package "cluster". "diana" and "agnes" both seem to try to allocate memory directly, so I can not use virtual memory of my Windows2000 operation system.
I do have 320 MB of memory. But they claim about 600 MB. Do I have a chance to do the analysis with my amount of memory.
Thanks for all comments, I did not find a
2003 Nov 17
1
CLARA
I need informations about the clara routine. The on-line doc say that the
argument stand is a logical, indicating if the measurements in x are
standardized before calculating the dissimilarities. Measurements are
standardized for each variable (column), by subtracting the variable's mean
value and dividing by the variable's mean absolute deviation. If we note
STAND = TRUE, I suppose that