Hello All,
I am facing a unique problem and am unable to find any help in R help pages
or online. I will appreciate your help for the following problem:
I have 2 data-frames, samples below and there is an expected output
R Dataframe1:
C1 C2 C3 C4...... CN
R1 0 1 0 1
R2 1 0 1 1
R3 1 0 0 0
.
.
.
RN
U Dataframe2 :
C1 C2 C3 C4...... CN
U1 1 1 0 1
U2 1 1 1 1
Expected Output:
U1 satisfies R1, R3
U2 satisfies R1, R2, R3
So this is a comparison of dataframes problem, with a subset dimension.
There are 2 dataframe R and U. column names are same. There are certain
columns belonging to each row in dataframe 1, denoted as 1s, while there
are certain cols to each U denoted as 1s in each URow in dataframe2.
I have to find relationships between Rs and Us. So i start with each U row
in U dataframe (lets say U1 row) and try to find all the rows in R
dataframe, which are subset of U1 row.
I cant find a way to compare rows to see if one is subset of
another....what can I try, any pointers/ packages will be great help.
Please help.
Thanks
Neha
[[alternative HTML version deleted]]
Hello All,
I am facing a unique problem and am unable to find any help in R help pages
or online. I will appreciate your help for the following problem:
I have 2 data-frames, samples below and there is an expected output
R Dataframe1:
C1 C2 C3 C4...... CN
R1 0 1 0 1
R2 1 0 1 1
R3 1 0 0 0
.
.
.
RN
U Dataframe2 :
C1 C2 C3 C4...... CN
U1 1 1 0 1
U2 1 1 1 1
Expected Output:
U1 satisfies R1, R3
U2 satisfies R1, R2, R3
So this is a comparison of dataframes problem, with a subset dimension.
There are 2 dataframe R and U. column names are same. There are certain
columns belonging to each row in dataframe 1, denoted as 1s, while there
are certain cols to each U denoted as 1s in each URow in dataframe2.
I have to find relationships between Rs and Us. So i start with each U row
in U dataframe (lets say U1 row) and try to find all the rows in R
dataframe, which are subset of U1 row.
I cant find a way to compare rows to see if one is subset of
another....what can I try, any pointers/ packages will be great help.
Please help.
Thanks
Neha
[[alternative HTML version deleted]]
Responses inline. On Sun, 11 Mar 2018, Neha Aggarwal wrote:> Hello All, > I am facing a unique problem and am unable to find any help in R help pages > or online. I will appreciate your help for the following problem: > I have 2 data-frames, samples below and there is an expected output > > R Dataframe1: > C1 C2 C3 C4...... CN > R1 0 1 0 1 > R2 1 0 1 1 > R3 1 0 0 0 > . > . > . > RN > > U Dataframe2 : > C1 C2 C3 C4...... CN > U1 1 1 0 1 > U2 1 1 1 1 > > > Expected Output: > U1 satisfies R1, R3 > U2 satisfies R1, R2, R3 > > So this is a comparison of dataframes problem, with a subset dimension. > There are 2 dataframe R and U. column names are same. There are certain > columns belonging to each row in dataframe 1, denoted as 1s, while there > are certain cols to each U denoted as 1s in each URow in dataframe2. > > I have to find relationships between Rs and Us. So i start with each U row > in U dataframe (lets say U1 row) and try to find all the rows in R > dataframe, which are subset of U1 row. > > I cant find a way to compare rows to see if one is subset of > another....what can I try, any pointers/ packages will be great help. > Please help. > > Thanks > Neha > > [[alternative HTML version deleted]]As the Posting Guide says (you have read it, haven't you?), please post plain text... the mailing list mangles your code with varying levels of damage as it tries to fix this problem for you. It also helps if you can pose your question in R code rather than pseudo-code and formatted data tables. Your problem appears to be an outer join of binary subsets... I don't think this is a very common problem structure (in most cases you want to avoid outer joins if you can because they are computationally expensive), but you can read ?outer and ?expand.grid to see some ways to pair up all possible row indexes. If you know that the number of rows in both inputs is <32, this problem can be optimized for speed and memory with the bitops package, or for larger size problems you can use the bit package. The below code shows the skeleton of logic with no such optimizations, and is likely the most practical solution for a one-off analysis: ############## r <- read.table( text" C1 C2 C3 C4 R1 0 1 0 1 R2 1 0 1 1 R3 1 0 0 0 ", header=TRUE ) u <- read.table( text" C1 C2 C3 C4 U1 1 1 0 1 U2 1 1 1 1 ", header=TRUE ) rmx <- as.matrix( r ) umx <- as.matrix( u ) result <- expand.grid( R = rownames( rmx ) , U = rownames( umx ) ) # see how: 1L - umx[ U, ] # 1 for every 0 in u rmx[ R, ] # 1 for every 1 in r ( 1L - umx[ U, ] ) * rmx[ R, ] # 1 where both have 1 # do it: # for every row, 0 where both conditions are true in any column result$IN <- 1L - with( result , apply( ( 1L - umx[ U, ] ) # any 0 column * rmx[ R, ] # any 1 column , 1 # by rows , max ) ) result # show key pairings only result[ as.logical( result$IN ), c( "U", "R" ) ] ############## --------------------------------------------------------------------------- Jeff Newmiller The ..... ..... Go Live... DCN:<jdnewmil at dcn.davis.ca.us> Basics: ##.#. ##.#. Live Go... Live: OO#.. Dead: OO#.. Playing Research Engineer (Solar/Batteries O.O#. #.O#. with /Software/Embedded Controllers) .OO#. .OO#. rocks...1k
> On Mar 11, 2018, at 3:32 PM, Neha Aggarwal <aggarwalneha2000 at gmail.com> wrote: > > Hello All, > I am facing a unique problem and am unable to find any help in R help pages > or online. I will appreciate your help for the following problem: > I have 2 data-frames, samples below and there is an expected output > > R Dataframe1: > C1 C2 C3 C4...... CN > R1 0 1 0 1 > R2 1 0 1 1 > R3 1 0 0 0 > . > . > . > RN > > U Dataframe2 : > C1 C2 C3 C4...... CN > U1 1 1 0 1 > U2 1 1 1 1 > > > Expected Output: > U1 satisfies R1, R3 > U2 satisfies R1, R2, R3 >I don't think you have communicated what sort of meaning is attached to the word "satisfies". Here's a double loop that reports membership of the column names of each row of U (Dataframe2) in each row of R (Dataframe1): apply( Dataframe2, 1, function(x){ z <- which(x==1); z2 <- names(x)[z]; zlist=apply(Dataframe1, 1, function(y){ z3 <- which(y==1); z4 <- names(y)[z3]; z4[ which(z4 %in% z2) ]}); zlist}) $U1 $U1$R1 [1] "C2" "C4" $U1$R2 [1] "C1" "C4" $U1$R3 [1] "C1" $U2 $U2$R1 [1] "C2" "C4" $U2$R2 [1] "C1" "C3" "C4" $U2$R3 [1] "C1" -- David.> So this is a comparison of dataframes problem, with a subset dimension. > There are 2 dataframe R and U. column names are same. There are certain > columns belonging to each row in dataframe 1, denoted as 1s, while there > are certain cols to each U denoted as 1s in each URow in dataframe2. > > I have to find relationships between Rs and Us. So i start with each U row > in U dataframe (lets say U1 row) and try to find all the rows in R > dataframe, which are subset of U1 row. > > I cant find a way to compare rows to see if one is subset of > another....what can I try, any pointers/ packages will be great help. > Please help. > > Thanks > Neha > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code.David Winsemius Alameda, CA, USA 'Any technology distinguishable from magic is insufficiently advanced.' -Gehm's Corollary to Clarke's Third Law
Hi Neha,
This might help:
R<-read.table(text="C1 C2 C3 C4
R1 0 1 0 1
R2 1 0 1 1
R3 1 0 0 0",
header=TRUE)
U<-read.table(text="C1 C2 C3 C4
U1 1 1 0 1
U2 1 1 1 1",
header=TRUE)
# these are matrices - I think this will work for dataframes as well
for(ui in 1:dim(U)[1]) {
for(ri in 1:dim(R)[1]) {
if(sum(U[ui,]&R[ri,])==sum(R[ri,]))
cat("R$",rownames(R)[ri]," subset of
","U$",rownames(U)[ui],"\n",sep="")
}
}
Jim
On Mon, Mar 12, 2018 at 1:59 PM, David Winsemius <dwinsemius at
comcast.net> wrote:>
>> On Mar 11, 2018, at 3:32 PM, Neha Aggarwal <aggarwalneha2000 at
gmail.com> wrote:
>>
>> Hello All,
>> I am facing a unique problem and am unable to find any help in R help
pages
>> or online. I will appreciate your help for the following problem:
>> I have 2 data-frames, samples below and there is an expected output
>>
>> R Dataframe1:
>> C1 C2 C3 C4...... CN
>> R1 0 1 0 1
>> R2 1 0 1 1
>> R3 1 0 0 0
>> .
>> .
>> .
>> RN
>>
>> U Dataframe2 :
>> C1 C2 C3 C4...... CN
>> U1 1 1 0 1
>> U2 1 1 1 1
>>
>>
>> Expected Output:
>> U1 satisfies R1, R3
>> U2 satisfies R1, R2, R3
>>
>
> I don't think you have communicated what sort of meaning is attached to
the word "satisfies".
>
> Here's a double loop that reports membership of the column names of
each row of U (Dataframe2) in each row of R (Dataframe1):
>
> apply( Dataframe2, 1, function(x){ z <- which(x==1);
> z2 <- names(x)[z];
> zlist=apply(Dataframe1, 1, function(y){ z3 <-
which(y==1);
> z4 <-
names(y)[z3];
> z4[
which(z4 %in% z2) ]});
> zlist})
> $U1
> $U1$R1
> [1] "C2" "C4"
>
> $U1$R2
> [1] "C1" "C4"
>
> $U1$R3
> [1] "C1"
>
>
> $U2
> $U2$R1
> [1] "C2" "C4"
>
> $U2$R2
> [1] "C1" "C3" "C4"
>
> $U2$R3
> [1] "C1"
>
> --
> David.
>
>
>> So this is a comparison of dataframes problem, with a subset dimension.
>> There are 2 dataframe R and U. column names are same. There are certain
>> columns belonging to each row in dataframe 1, denoted as 1s, while
there
>> are certain cols to each U denoted as 1s in each URow in dataframe2.
>>
>> I have to find relationships between Rs and Us. So i start with each U
row
>> in U dataframe (lets say U1 row) and try to find all the rows in R
>> dataframe, which are subset of U1 row.
>>
>> I cant find a way to compare rows to see if one is subset of
>> another....what can I try, any pointers/ packages will be great help.
>> Please help.
>>
>> Thanks
>> Neha
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>
> David Winsemius
> Alameda, CA, USA
>
> 'Any technology distinguishable from magic is insufficiently
advanced.' -Gehm's Corollary to Clarke's Third Law
>
> ______________________________________________
> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.