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比较不同数据集中的多个列以查找范围 R 内的值

更新时间:2023-12-01 11:10:16

合并和子集应该可以让您到达那里(尽管我认为您的预期结果与您对所需内容的描述不匹配):

result <- merge(d,m,by="Gene.name")结果[with(result,Mutation >= Start & Mutation <= End),]# Gene.name Domain Start End Mutation#1 ABCF1 低复杂度区域 2 13 10#4 ABCF1 AAA 328 532 335#6 F2 盘绕线圈区域 499 558 499

I have two datasets. One called domain (d) which as general information about a gene and table called mutation (m). Both tables have similar column called Gene.name, which I'll use to look for. The two datasets do not have the same number of columns or rows.

I want to go through all the data in the file mutation and check to see whether the data found in column gene.name also exists in the file domain. If it does, I want it to check whether the data in column mutation is between the column "Start" and "End" (they can be equal to Start or End). If it is, I want to print it out to a new table with the merged column: Gene.Name, Mutation, and the domain information. If it doesn't exist, ignore it.

So this is what I have so far:

d<-read.table("domains.txt")

d
Gene.name Domain Start  End
ABCF1   low_complexity_region   2   13
DKK1    low_complexity_region   25  39
ABCF1   AAA 328 532
F2  coiled_coil_region  499 558

m<-read.table("mutations.tx")

m
Gene.name   Mutation        
ABCF1   10      
DKK1    21      
ABCF1   335     
xyz 15      
F2  499     

newfile<-m[, list(new=findInterval(d(c(d$Start, d$End)),by'=Gene.Name']

My code isn't working and I'm reading a lot of different questions/answers and I'm much more confused. Any help would be great.

I"d like my final data to look like this:

Gene.name   Mutation    Domain  
DKK1    21  low_complexity_region   
ABCF1   335 AAA 
F2  499 coiled_coil_region  

A merge and subset should get you there (though I think your intended result doesn't match your description of what you want):

result <- merge(d,m,by="Gene.name")
result[with(result,Mutation >= Start & Mutation <= End),]

#  Gene.name                Domain Start End Mutation
#1     ABCF1 low_complexity_region     2  13       10
#4     ABCF1                   AAA   328 532      335
#6        F2    coiled_coil_region   499 558      499