Dear List,
(self-contained example + version info at the bottom)
I'm having trouble producing a barplot using the functions in ggplot2. When I
use the position=dodge option, the bars are plotted but also a number of
spurious markers. More specifically, a number of black dots are plotted in
Thanks, this indeed solved the problem.
Regards,
Dieter
On 4/08/2010 15:21, Shentu wrote:
The reason you see the exra markers is that the first part of the command
qplot(DT$N,DT$D,fill=factor(DT$C)) already plots the individual points.
You didn't see it with geom_bar(stat = identity) simply
that differ in the number of distributions fitted and/or the
shape of the distributions.
Is there a way, using likelihoods maybe, to compare this kinds of fits in a
statistical meaningfull way?
Regards,
Dieter Vanderelst
__
R-help@r-project.org
A few people suggested taking a look at Ripley's book MASS. I know the formula
listed there.
The point is that the manual for the isoMDS function says it's stress output is in
percent. Does this mean, the stress reported by isoMDS is just the stress
value in MASS (which ranges from 0 to 1)
Thank you for clearing this out.
Jari Oksanen wrote:
Dieter Vanderelst Dieter.Vanderelst at ua.ac.be writes:
The point is that the manual for the isoMDS function says it's stress output
is in percent. Does this mean,
the stress reported by isoMDS is just the stress value in MASS (which
up with a definitive answer.
Regards,
Dieter
--
Dieter Vanderelst
PhD Student
Active Perception Lab
University of Antwerp
http://batbits.webnode.com/
Postal Address:
Prinsstraat 13
B-2000 Antwerp
Belgium
__
R-help@r-project.org mailing list
https
Non-metric
Multidimensional Scaling algorithm (isoMDS, MASS package).
The 'goodness of fit' is reported as The final stress achieved (in
percent).
What does this mean exactly? I've tried to google for an answer but
I've not come up with a definitive answer.
Regards, Dieter
-- Dieter Vanderelst
Dear List,
I'm using interp() to prepare 3d data for plotting with the contour() function.
If have x,y and z data. All are arrays. X and Y are sampled in an orderly
fashion on a grid (a circular sub-area of a grid - see plot). I'm trying to use
interp() to get x and y arrays and a z matrix
).
If my explanation is not clear, you can find an example of what I'm after here:
http://www.mediafire.com/?in0fmnikzmg (created using matlab).
Regards,
Dieter Vanderelst
--
Dieter Vanderelst
PhD Student
Active Perception Lab
University of Antwerp
Koningstraat 8
B-2000 Antwerp
Belgium
)
Manuel
On Fri, 2008-02-15 at 15:18 +0100, Dieter Vanderelst wrote:
Hi List,
I have a problem plotting data using the lineplot.CI command in the sciplot
package.
I want to plot the data of 2 experimental cases using different lines
(traces). Time is on the X-axis. The tricky thing
Dieter Vanderelst
dieter dot vanderelst at emailengine dot org
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
data in SPSS, so I
need the rearranged format.
Regards and Thanks,
Dieter
--
Dieter Vanderelst
dieter _ vanderelst AT emailengine DOT org
d DOT vanderelst AT tue DOT nl
Eindhoven University of Technology
Faculty of Industrial Design
Designed Intelligence
--
Dieter Vanderelst
dieter _ vanderelst AT emailengine DOT org
d DOT vanderelst AT tue DOT nl
Eindhoven University of Technology
Faculty of Industrial Design
Designed Intelligence Group
Den Dolech 2
5612 AZ Eindhoven
The Netherlands
Tel +31 40 247 91 11
take a look at hclust()
Dieter
Katia Freire wrote:
Dear all,
I would like to know if I can do a hierarchical cluster analysis in R using
my own similarity matrix and how. Thanks. Katia Freire.
[[alternative HTML version deleted]]
mails, is very hard.
So, if any one knows a set of better keywords...
Any ideas?
Thanks,
Dieter Vanderelst
--
Dieter Vanderelst
dieter _ vanderelst AT emailengine DOT org
d DOT vanderelst AT tue DOT nl
Eindhoven University of Technology
Faculty
Dear list,
I have a data frame with a number of events (factor) and the times at which
they occurred (continuous variable):
event time
A 10
A 12
B 15
A 17
C 13
...
Is it possible in R to make a plot against time of the cumulative frequency of
occurrence of each event? This would be, a raising
to determine if one string is a subset of
another.
On 10/3/07, Dieter Vanderelst [EMAIL PROTECTED] wrote:
Hi list,
I'm currently processing textual data and I would really appreciate some
help with one off my problems.
I have a set of strings and I want to count how often each
this? I have been checking
out the CRAN packages for handling DNA sequences, but this has not
really brought me closer to a solution.
Thanks,
Dieter Vanderelst
--
Dieter Vanderelst
Eindhoven University of Technology
Faculty of Industrial Design
Designed
18 matches
Mail list logo