Reshape dataset in R_ move row to column

I have a dataset with the below format:

enter image description here

structure(list(SNPID = c("SNP_A-1780520", "SNP_A-1780618", "SNP_A-1780632"
), no.1 = c("BB", "AB", "AA"), no.2 = c("BB", "AB", "AA"), no.3 = c("BB", 
"AB", "AB")), row.names = c(NA, -3L), class = c("tbl_df", "tbl", 
"data.frame"))`  

I want to reshape the dataset to have each SNPID as a column and each "no" as a row.

I have tried different R packages but I was not successful to manage this simple task. I appreciate any help. I would like to have someting like this:
enter image description here

>Solution :

An example on reshaping your data with tidyr()

library (tidyr)

df %>% 
  pivot_longer(-SNPID) %>% 
  pivot_wider(names_from = SNPID, values_from = value)

   name  `SNP_A-1780520` `SNP_A-1780618` `SNP_A-1780632` `SNP_A-1780654`
  <chr> <chr>           <chr>           <chr>           <chr>          
1 no.1  BB              AB              AA              AA             
2 no.2  BB              AB              AA              AA             
3 no.3  BB              AB              AA              AA