Displaying 6 results from an estimated 6 matches for "sequens".
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sequent
2008 Apr 14
4
&& and ||
Hello there,
I got a small problem about logical calculation:
we can get a sequene from a+b as below:
> a<-c(1,2)
> b<-c(3,4)
> a+b
[1] 4 6
but when the sequences are logical. (I want to get (True,False) && (True, True) ==> (True, False), but when I do as below.
> e<-c(T,T)
> f<-c(F,T)
> e
[1] TRUE TRUE
> f
[1] FALSE TRUE
>
2010 Aug 25
3
frequency, count rows, data for heat map
Hi all,
I have read posts of heat map creation but I am one step prior --
Here is what I am trying to do and wonder if you have any tips?
We are trying to map sequence reads from tumors to viral genomes.
Example input file :
111 abc
111 sdf
111 xyz
1079 abc
1079 xyz
1079 xyz
5576 abc
5576 sdf
5576 sdf
How may xyz's are there for 1079 and 111? How many abc's, etc?
2007 Feb 24
0
Multiple comparisons when interacction]
Hello,
I send the message again with the data file as txt because it seems not to
be accepted as csv in the R-help list.
Data comes from a multiyear field experiment in which 4 levels of a
treatment (2, 3, 4, 6) are compared to see the effect on yield. It is a
randomized complete block design.
The SAS code follows:
options ls=95;
data uno;
infile 'data.txt'
2007 Jan 29
3
Multiple comparisons when interacction
In the model:
lm.1 <- lm(variable ~ BLOC + TIL * YEAR , data=selvanera)
I found TIL*YEAR interaction significant. Then I am trying to compare
means of the different levels of TIL inside every YEAR using:
mc.2 <- glht(lm.1, linfct = mcp(TIL*YEAR="Tukey"))
summary(mc.2, test = univariate())
but it does not work.
There is any way of doing this, like the SLICE option in
2002 Jun 20
1
new package `multcomp'
New package `multcomp' for general multiple comparisons
written by Frank Bretz, Torsten Hothorn and Peter Westfall
We've uploaded the package `multcomp' to CRAN.
The R package allows for multiple comparisons of
k groups in general linear models. We use the unifying
representations of multiple contrast tests, which include all
common multiple comparison procedures, such as the
2002 Jun 20
1
new package `multcomp'
New package `multcomp' for general multiple comparisons
written by Frank Bretz, Torsten Hothorn and Peter Westfall
We've uploaded the package `multcomp' to CRAN.
The R package allows for multiple comparisons of
k groups in general linear models. We use the unifying
representations of multiple contrast tests, which include all
common multiple comparison procedures, such as the