Are you looking for something like the following code? Note that all of the data become characters because one of the original columns had characters and rotating the data causes every column to contain a character value.
DF <- data.frame(Taxo = c("T1","T2","T3","T4","T5"),
A = 1:5,
B = c("V","W","X","Y","Z"),
C = 11:15,
D= 21:25,
E = 31:35)
DF
#> Taxo A B C D E
#> 1 T1 1 V 11 21 31
#> 2 T2 2 W 12 22 32
#> 3 T3 3 X 13 23 33
#> 4 T4 4 Y 14 24 34
#> 5 T5 5 Z 15 25 35
library(tidyverse)
DFnew <- DF |> mutate(across(everything(), as.character)) |>
pivot_longer(-Taxo) |>
pivot_wider(names_from = "Taxo", values_from = "value")
DFnew
#> # A tibble: 5 × 6
#> name T1 T2 T3 T4 T5
#> <chr> <chr> <chr> <chr> <chr> <chr>
#> 1 A 1 2 3 4 5
#> 2 B V W X Y Z
#> 3 C 11 12 13 14 15
#> 4 D 21 22 23 24 25
#> 5 E 31 32 33 34 35
Created on 2024-03-11 with reprex v2.0.2
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