CODEWITHSUNDEEP
rgreatest-n-per-group
Achal Neupane
Achal Neupane

Reputation: 5719

Extract the unique rows with maximum value in another column in R dataframe

I have this data frame called mydf. There are duplicated samples in the Sample column. I want to extract the unique sample rows with the maximum total_reads and get the result.

mydf<-structure(list(Sample = c("AOGC-02-0188", "AOGC-02-0191", "AOGC-02-0191", 
"AOGC-02-0191", "AOGC-02-0194", "AOGC-02-0194", "AOGC-02-0194"
), total_reads = c(27392583, 19206920, 34462563, 53669483, 24731988, 
43419826, 68151814), Lane = c("4", "5", "4", "4;5", "5", "4", 
"4;5")), .Names = c("Sample", "total_reads", "Lane"), row.names = c("166", 
"169", "170", "171", "173", "174", "175"), class = "data.frame")

result

  Sample        total_reads  Lane
 AOGC-02-0188    27392583    4
 AOGC-02-0191    53669483  4;5
 AOGC-02-0194    68151814  4;5

Upvotes: 2

Views: 1449

Answers (3)

akrun
akrun

Reputation: 886938

We can use data.table. Convert the 'data.frame' to 'data.table' (setDT(mydf)), grouped by "Sample", order the 'total_reads' desendingly and subset the first observation with head.

library(data.table)
setDT(mydf)[order(-total_reads), head(.SD, 1) , Sample]

Upvotes: 2

Sotos
Sotos

Reputation: 51582

You can aggregate and then merge, 

merge(aggregate(total_reads ~ Sample, mydf, max), mydf)
#        Sample total_reads Lane
#1 AOGC-02-0188    27392583    4
#2 AOGC-02-0191    53669483  4;5
#3 AOGC-02-0194    68151814  4;5

Upvotes: 4

Jasper
Jasper

Reputation: 555

Using the dplyr package, you could do that like this:

mydf %>%
    group_by(Sample) %>% # for each unique sample
    arrange(-total_reads) %>% # order by total_reads DESC
    slice(1) # select the first row, i.e. with highest total_reads

Upvotes: 2

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