Merging data frame together

Hi! I'm very new to RStudio so i'm sorry if i'm going to ask a very silly question. I have 9 data frame that looks like the one i've posted. They all have the same number of raws and columns and the raws' name are the same. The difference between every file is just the numbers in it. I'm finding difficulties merging them together in just one file, can someone help me?

Can you please share a small part of the data sets in a copy-paste friendly format?

In case you don't know how to do it, there are many options, which include:

  1. If you have stored the data set in some R object, dput function is very handy.

  2. In case the data set is in a spreadsheet, check out the datapasta package. Take a look at this link.

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i used the dput function (i don't know if used it properly). They're like 50.000 rows so i used the head function first to just show you the first six.

structure(list(V2 = c("Veh_1", "20", "398", "1", "15", "10")), row.names = c("Gene",
"A1BG", "A1BG-AS1", "A1CF", "A2M", "A2M-AS1"), class = "data.frame")

You are not being very specific about your problem, so this is what I can come up with using the information you are providing so far


df1 <- structure(list(V2 = c("Veh_1", "20", "398", "1", "15", "10")), row.names = c("Gene",
                                                                                    "A1BG", "A1BG-AS1", "A1CF", "A2M", "A2M-AS1"), class = "data.frame")
df2 <- df1

ls(pattern = "^df") %>% 
    map_dfc(~ eval(
#> New names:
#> * V2 -> V2...1
#> * V2 -> V2...2
#>          V2...1 V2...2
#> Gene      Veh_1  Veh_1
#> A1BG         20     20
#> A1BG-AS1    398    398
#> A1CF          1      1
#> A2M          15     15
#> A2M-AS1      10     10

Created on 2021-05-14 by the reprex package (v2.0.0)

1 Like

I managed to do it. Thank you so much, i solved the problem.

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