Read about the all.x and all.y arguments to ?merge.
On April 21, 2020 7:53:33 AM PDT, Ana Marija
wrote:
>Hello,
>
>> head(a)
> ID_1 pheno
>1 0 B
>2 fam1000_G1000 0
>3 fam1001_G1001 0
>4 fam1003_G1003 1
>5 fam1005_G1005 0
>6 fam1009_G1009 0
>> head(b)
this solved it:
m=merge(a,b,by="ID_1",all.y = T)
On Tue, Apr 21, 2020 at 9:53 AM Ana Marija wrote:
>
> Hello,
>
> > head(a)
>ID_1 pheno
> 1 0 B
> 2 fam1000_G1000 0
> 3 fam1001_G1001 0
> 4 fam1003_G1003 1
> 5 fam1005_G1005 0
> 6 fam1009_G1009 0
> >
Hello,
> head(a)
ID_1 pheno
1 0 B
2 fam1000_G1000 0
3 fam1001_G1001 0
4 fam1003_G1003 1
5 fam1005_G1005 0
6 fam1009_G1009 0
> head(b)
ID_1 ID_2 missing
1 0 0 0
2 fam1000_G1000 fam1000_G1000 0
3 f
Dear Albert,
Here is one way:
tmp.scores <- readLines("~/scores.txt")
tmp.seq <- readLines("~/seq.txt")
tmp.seq <- strsplit(gsub("N", "", tmp.seq), "")[[1]]
genedat <- data.frame(Sequence = tmp.seq, Scores = as.numeric(tmp.scores))
## Yields
> genedat
Sequence Scores
1 A 0.80
2
Dear all,
I have two files :
seq.txt: NNATTAAAGGGC
scores.txt :
0.8
0.7
0.3
0.5
0.6
0.5
0.01
0.9
0.3
0.8
I want output as following
A 0.8
T 0.7
T 0.3
A 0.5
A 0.6
A 0.5
G 0.01
G 0.9
G 0.3
C 0.8
Where N are deleted and only A/T/G/C are appearing in a column.
Thanks
Albert
0.8
0.7
0.3
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