Extract information for the file which is in csv with one column by comparing with another matrix file with dim of 15251*15251.

[nithyachandramohan]

The dim of first file is 2187*1 , If the first file match with the other file need to extract the information.

Kindly provide me the suggestions.

[dromano]

Hi @nithyachandramohan: If you could post the data you're using, that would be very helpful to folks so they can better help you. Could you try applying the dput() function to your tables and paste the output here, like this?

```
<--- paste output of dput() here
```

[nithyachandramohan]

sample of First file (2187 *1)
P19113
Q9ULJ8
P00488
P35228
P37059
P06737
Q13423
P11766
P48728
P50213

Sample of 2nd file
P00352 Q13683 Q9ULJ8 P10124 P50213 Q13153 P19113
P19113 3 3 4 3 3 4 3
Q13423 2 1 5 4 2 1 1
P50213 1 2 3 1 4 5 4
Q9ULJ8 1 2 4 5 6 2 5

I need the output in the below format,
Q9ULJ8 P50213 P19113
P19113 3
Q9ULJ8 4
P50213 5

[andresrcs]

Screenshots are not very helpful, can you provide a proper reproducible example (reprex) illustrating your issue? Please have a look at this guide, to see how to create one:

FAQ: How to do a minimal reproducible example ( reprex ) for beginners

A minimal reproducible example consists of the following items: A minimal dataset, necessary to reproduce the issue The minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and including the necessary information on the used packages. Let's quickly go over each one of these with examples: Minimal Dataset (Sample Data) You need to provide a data frame that is small enough to be (reasonably) pasted on a post, but big enough to reproduce your issue. Let's say, as an example, that you are working with the iris data frame head(iris) #> Sepal.Length Sepal.Width Petal.Length Petal.Width Species #> 1 5.1 3.5 1.4 0.…