How to set the row names of a data frame passed on with the pipe %>% operator?

Question

I have a data frame which I am dcasting using the reshape2 package, and I would like to remove the first column and have it become the row names of the data frame instead.

Original dataframe, before dcast:

> corner(df)  ID_full      gene cpm 1  S36-A1   DDX11L1   0 2  S36-A1    WASH7P   0 3  S36-A1 MIR1302-2   0 4  S36-A1   FAM138A   0 5  S36-A1     OR4F5   0 

pivot function to dcast the table:

 library(reshape2)   pivot <- function(x){              castTable <- x %>% dcast(ID_full ~ gene, value.var="cpm")              } 

After dcast, wrapped in my pivot function:

> corner(df)  ID_full 1060P11.3 A1BG A1BG-AS1 A1CF 1  S36-A1         0    0        0    0 2 S36-A10         0    0        0    0 3 S36-A11         0    0        0    0 4 S36-A12         0    0        0    0 5  S36-A2         0    0        0    0 

I'd like ID_full to become the rownames, and to cease existing as a column, piped after dcasting. I can do this in several lines, replacing the data frame each time, but I'd like to do it all using the %>% operator.

The best attempt I can think of would involve something like this, but obviously it doesn't work:

library(dplyr)  df <- df %>% pivot(.) %>% with(., row.names=df[,1]) 

I'd appreciate any suggestions... this nuisance is driving me crazy!

UPDATE:

Thanks for your answers:

This expression works nicely:

df <- df %>% pivot(.) %>% `rownames<-`(.[,1]) %>% select(-ID_full)  > corner(df)          1060P11.3 A1BG A1BG-AS1 A1CF        A2M S36-A1          0    0        0    0    0.00000 S36-A10         0    0        0    0    0.00000 S36-A11         0    0        0    0    0.00000 S36-A12         0    0        0    0    1.62189 S36-A2          0    0        0    0 1170.95000 

Answer 1

with the later version of tibble, a more elegant solution exists:

df <- df %>% pivot(.) %>% tibble::column_to_rownames('ID_full') 

Importantly, it works also when the column to turn to the rowname is passed as a variable, which is super-convenient, when inside the function!