CODEWITHSUNDEEP
rmergeduplicates
user1291855
user1291855

Reputation: 61

Merge data.frames with duplicates

I have many data.frames, for example:

df1 = data.frame(names=c('a','b','c','c','d'),data1=c(1,2,3,4,5))
df2 = data.frame(names=c('a','e','e','c','c','d'),data2=c(1,2,3,4,5,6))
df3 = data.frame(names=c('c','e'),data3=c(1,2))

and I need to merge these data.frames, without delete the name duplicates

> result
  names data1 data2 data3
1  'a'    1    1      NA
2  'b'    2    NA     NA
3  'c'    3    4      1
4  'c'    4    5      NA
5  'd'    5    6      NA
6  'e'    NA   2      2       
7  'e'    NA   3      NA

I cant find function like merge with option to handle with name duplicates. Thank you for your help. To define my problem. The data comes from biological experiment where one sample have a different number of replicates. I need to merge all experiment, and I need to produce this table. I can't generate unique identifier for replicates.

Upvotes: 5

Views: 20527

Answers (3)

G. Grothendieck
G. Grothendieck

Reputation: 269461

First define a function, run.seq, which provides sequence numbers for duplicates since it appears from the output that what is desired is that the ith duplicate of each name in each component of the merge be associated. Then create a list of the data frames and add a run.seq column to each component. Finally use Reduce to merge them all.

run.seq <- function(x) as.numeric(ave(paste(x), x, FUN = seq_along))

L <- list(df1, df2, df3)
L2 <- lapply(L, function(x) cbind(x, run.seq = run.seq(x$names)))

out <- Reduce(function(...) merge(..., all = TRUE), L2)[-2]

The last line gives:

> out
  names data1 data2 data3
1     a     1     1    NA
2     b     2    NA    NA
3     c     3     4     1
4     c     4     5    NA
5     d     5     6    NA
6     e    NA     2     2
7     e    NA     3    NA

EDIT: Revised run.seq so that input need not be sorted.

Upvotes: 4

Etienne Low-D&#233;carie
Etienne Low-D&#233;carie

Reputation: 13443

See other questions:

Examples:

library(reshape)
out <- merge_recurse(L)

or

library(plyr)

out<-join(df1, df2, type="full")
out<-join(out, df3, type="full")
*can be looped

or

library(plyr)
out<-ldply(L)

Upvotes: 1

Marius
Marius

Reputation: 60060

I think there is just not enough information in your example data frames to do this. Which 'c' in dataframe 1 should be paired with which 'c' in data frame 2? We cannot tell, so R can't either. I suspect you will have to add another variable to each of your dataframes that uniquely identifies these duplicate cases.

Upvotes: -1

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