[R] Help with understanding [[]] [] array, list, matrix referencing
Joe Byers
joe-byers at utulsa.edu
Tue Oct 24 13:31:46 CEST 2006
David,
Yes, I did. I just still do not get it. That is why I ask here.
Hoping someone knew a step by step guide that I could look at. My trial
and error approach takes me hours some days. I currently move most
things in and out of data.frames where I can name the columns and
reference with the $ and a subsetting function, but that is not always
efficient. If I could understand the [ referencing better, my code
would be more efficient and I think faster. Part of my problem is my
SAS background where everything is a flat table and coding is really
sloppy. A data step with a bunch of if-then-else to perform the
calculation where as in matrix format like in R you do things more
compactly. Not always easy to read but efficient and fast.
I appreciate you help.
Thank you
Joe
David Barron wrote:
> Have you tried help("["), which gives a good explanation.
>
>
> On 24/10/06, Joe W. Byers <Joe-Byers at utulsa.edu> wrote:
>> Hi all,
>>
>> I would greatly appreciate some help understanding how R references
>> arrays, matrices, lists, and objects using [[]] and []. I have read the
>> R guides and several tutorials but I am not the fastest kid on the block
>> so I am still having difficulty understanding this. For examples the
>> following code produces a 5 element list of 2X5 random numbers that I
>> then convert to a 2X5X5 matrix.
>> cov<-matrix(c(.4,-.1,-.1,.3),nrow=2,ncol=2)
>> rnds<-NULL;
>> for (i in 1:5){
>> t1<-rnorm(5,cov)
>> t2<-rnorm(5,cov)
>> t3<-rbind(t1,t2)
>> rnds[i]<-list(t3)
>> }
>>
>> rnds.matrix<-array(unlist(rnds),dim=c(2,5,5));
>>
>> To access the matrix rnds.matrix I use rnds.matrix[x,y,z]. This I
>> understand.
>>
>> To access the list I user [[z]][x,y]. This I do not understand. I
>> found by chance this reference notation in an old mailing list that
>> helped me.
>>
>> I could use some help in knowing when to use [[]] referencing and when
>> to use [] referencing. If there is a really good book, webpage, or link
>> with explanation and examples I would appreciate you forwarding the the
>> citation.
>>
>> Thank you
>> Joe
>>
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>>
>
>
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