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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