On 2010-11-18 07:25, Martin Tomko wrote:
Hi Gerrit,
indeed, that works. Excellent tip!
For reference, I did this:
subset1<-subset(summarystats,(Type==1)&(Class==1)&(Category==1))
I am still not totally sure when one uses "&" amd when"&&" - I was
under the impression that&& stands for logical AND....
This indicates that you haven't looked at (or absorbed) the
help page for logic operators. It's pretty well explained
there that both & and && perform AND, but the first is for
elementwise comparison which is what your application
clearly requires.
-Peter Ehlers
Thanks a lot.
Martin
On 11/18/2010 3:58 PM, Gerrit Eichner wrote:
Hello, Martin,
as to your first problem, look at function subset(), and particularly
at its argument "subset".
HTH,
Gerrit
On Thu, 18 Nov 2010, Martin Tomko wrote:
Dear all,
I have searched the forums for an answer - and there is plenty of
questions along the same line - but none of the paproaches shown
worked to my problem:
I have a data frame that I get from a csv:
summarystats<-as.data.frame(read.csv(file=f_summary));
where I have the columns Dataset, Class, Type, Category,..
Problem1: I want to find a subset of this frame, based on values in
multiple columns
What I do currently is:
subset1<- summarystats
subset1<-subset1[subset1$Class == 1,]
subset1<-subset1[subset1$Type == 1,]
subset1<-subset1[subset1$Category == 1,]
Now, this works, but is UGLY! I tried using "&&" or"&" , for
isntance : subset1<-subset1[ (subset1$Class == 1)&& (subset1$Category
== 1),]
but it returns an empty data frame.
Anyway, the main problem is
Problem2:
I have a second data frame - a square matrix (rownames == colnames),
distm:
distm<-read.table(file=f_simmatrix, sep = ",");
what I want is select ONLY the columns and rows entries matching the
above subset1:
subset2<-distm[subset1$Dataset,subset1$Dataset] returns a matrix of
correct size, but with incorrect entries (established by visual
inspection).
this is the same as:
selectedrows<-as.vector(subset1$Dataset)
subset2<-distm[selectedrows,selectedrows]
also verified using:
rownames(subset2)%in% selectedrows
[1] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
FALSE
[13] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
FALSE FALSE
[25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
FALSE FALSE
[37] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
What am I missing?
Thanks
Martin
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