Beginner help with retrieving frequency and transforming a matrix
Hi Sean,
is this roughly what you are looking for (please note that in the
example data you provided there is only one level of ID given, no "S-4",
...) ?
> DF
ID Cl Co Brd Ind A AB AB.1 frq
1 S-3 IND A BR_F BR_F01 1 0 0 1.0
2 S-3 IND A BR_F BR_F01 1 0 0 1.0
3 S-3 IND A BR_F BR_F01 1 0 0 1.0
4 S-3 IND A BR_F BR_F01 1 0 0 1.0
5 S-3 IND A BR_F BR_F01 1 0 0 1.0
6 S-3 IND A BR_F BR_F01 0 1 0 0.5
7 S-3 IND A BR_F BR_F02 0 0 1 0.0
8 S-3 IND A BR_F BR_F02 0 1 0 0.5
9 S-3 IND A BR_F BR_F02 1 0 0 1.0
10 S-3 IND A BR_F BR_F02 1 0 0 1.0
11 S-3 IND A BR_F BR_F02 0 1 0 0.5
12 S-3 IND A BR_F BR_F02 1 0 0 1.0
> DF2 <- aggregate(x=DF$frq, by=list(ID=DF$ID, Ind=DF$Ind), FUN=mean)
> DF2
ID Ind x
1 S-3 BR_F01 0.9166667
2 S-3 BR_F02 0.6666667
> FinalDF <- tapply(X=DF$frq, INDEX=list(Ind=DF$Ind, ID=DF$ID), FUN=mean)
> FinalDF
ID
Ind S-3
BR_F01 0.9166667
BR_F02 0.6666667
>
Best,
Roland
Sean MacEachern wrote:
Hi All, Just hoping some one can give me a hand with a problem... I have a dataframe (DF) with about 5 million entries that looks something like the following:
DF
ID Cl Co Brd Ind A AB AB 1 S-3 IND A BR_F BR_F01 1 0 0 2 S-3 IND A BR_F BR_F01 1 0 0 3 S-3 IND A BR_F BR_F01 1 0 0 4 S-3 IND A BR_F BR_F01 1 0 0 5 S-3 IND A BR_F BR_F01 1 0 0 6 S-3 IND A BR_F BR_F01 0 1 0 7 S-3 IND A BR_F BR_F02 0 0 1 8 S-3 IND A BR_F BR_F02 0 1 0 9 S-3 IND A BR_F BR_F02 1 0 0 10 S-3 IND A BR_F BR_F02 1 0 0 11 S-3 IND A BR_F BR_F02 1 0 0 12 S-3 IND A BR_F BR_F02 1 0 0 I am interested in retrieving the frequency of A for everything with the same Ind code. I have initially created a column called 'frq' that calculates the individual A frequency
DF$frq=apply(DF,1,function(x) if(x[6]==1)1 else if (x[7]==1)0.5 else 0)
DF
ID Cl Co Brd Ind A AB AB frq
1 S-3 IND A BR_F BR_F01 1 0 0 1
2 S-3 IND A BR_F BR_F01 1 0 0 1
3 S-3 IND A BR_F BR_F01 1 0 0 1
4 S-3 IND A BR_F BR_F01 1 0 0 1
5 S-3 IND A BR_F BR_F01 1 0 0 1
6 S-3 IND A BR_F BR_F01 0 1 0 0.5
7 S-3 IND A BR_F BR_F02 0 0 1 0
8 S-3 IND A BR_F BR_F02 0 1 0 0.5
9 S-3 IND A BR_F BR_F02 1 0 0 1
10 S-3 IND A BR_F BR_F02 1 0 0 1
11 S-3 IND A BR_F BR_F02 0 1 0 0.5
12 S-3 IND A BR_F BR_F02 1 0 0 1
I've created a new DF that contains the info I'm interested in:
DF2 = cbind(DF[1],DF[5],DF[9])
DF2
ID Ind frq
1 S-3 BR_F01 1
2 S-3 BR_F01 1
...
...
...
11 S-3 BR_F02 0.5
12 S-3 BR_F02 1
I am wondering is there a method that I can call to calculate the frequency
of A or frq for all individuals with the same Ind code so the DF (matrix)
looks something like the following? (I've saw something in a tut based on
t-tests that I thought would work, but no joy...)
NewDF
ID Ind frq
1 S-3 BR_F01 0.9167
2 S-3 BR_F02 0.6667
Further, is there to then transform the matrix to look something like the
following?
FinalDF
Ind S-3 S-4 S-5.... S-1000000 BR_F01 0.9167 0.5 1 0.6667 BR_F02 0.6667 0.2 1 0.5 ... ... ... BR_Z98 0.5 1 0.3 1 BR_Z99 1 0.6 1 0.5 Thanks in advance for any help you can offer, and please let me know if there is any further information I can provide. Sean
sessionInfo()
R version 2.6.0 (2007-10-03) i386-apple-darwin8.10.1 locale: en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8 attached base packages: [1] stats graphics grDevices utils datasets methods base
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