Displaying 5 results from an estimated 5 matches for "kastanienallee".
2004 Jun 11
0
New package: RUnit
...l function documentation the doc subdirectory contains a
pdf file with additional information.
Questions, comments and suggestions are greatly appreciated.
Happy testing
Matthias Burger
Thomas Koenig
Klaus Juenemann
--
Klaus Juenemann
Epigenomics AG www.epigenomics.com Kastanienallee 24
+493024345393 10435 Berlin
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2002 Feb 21
0
nlme - Variance Estimation
...a what my gouping factor
there should be.
Could somebody please point me in the
right direction ?
Sorry if this turns out to be an extremely
simple question, I'm a newbie to R ...
Many greetings,
Susanne
--
Susanne Schwenke
Epigenomics AG www.epigenomics.com Kastanienallee 24
+4930243450 10435 Berlin
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2004 Jun 11
0
New package: RUnit
...l function documentation the doc subdirectory contains a
pdf file with additional information.
Questions, comments and suggestions are greatly appreciated.
Happy testing
Matthias Burger
Thomas Koenig
Klaus Juenemann
--
Klaus Juenemann
Epigenomics AG www.epigenomics.com Kastanienallee 24
+493024345393 10435 Berlin
_______________________________________________
R-packages mailing list
R-packages at stat.math.ethz.ch
https://www.stat.math.ethz.ch/mailman/listinfo/r-packages
2004 Mar 22
3
Long time needed for "Building file list" Any suggestions ?
We're running rsync 2.5.7 on a Windows2000 server, in combination with
cygwin/ssh. The server who receives the data is a Linux server.
The amount of data from the Windows server is about 100 Gb. Represented
by 532.000 files of different nature. Mostly doc, ppt and xls files.
It takes about 2 hours to create only the file list.
Is the amount of data/files to big, should I segmentate the
2002 Feb 21
2
Re: Factor analysis of categorical or mixed categorical/continuousdata in
I am looking to fit one or more latent categorical variables to data that is
a mixture of categorical and continuous variables. Factor analysis would
work for continuous data, latent class analysis for categorical data. I
understand that in a package such as MPlus I could perform a single analysis
of both data types. Are there similar routines available in R?
Stuart
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