create data.frame
Examples
as.data.frame(se_simple)
#> .features .samples counts logcounts gene length direction sample condition
#> 1 row_1 col_1 14 2.6390573 g1 1 - s1 cntrl
#> 2 row_2 col_1 19 2.9444390 g2 24 + s1 cntrl
#> 3 row_3 col_1 16 2.7725887 g3 60 + s1 cntrl
#> 4 row_4 col_1 11 2.3978953 g4 39 - s1 cntrl
#> 5 row_5 col_1 18 2.8903718 g5 37 + s1 cntrl
#> 6 row_1 col_2 8 2.0794415 g1 1 - s2 cntrl
#> 7 row_2 col_2 2 0.6931472 g2 24 + s2 cntrl
#> 8 row_3 col_2 6 1.7917595 g3 60 + s2 cntrl
#> 9 row_4 col_2 17 2.8332133 g4 39 - s2 cntrl
#> 10 row_5 col_2 13 2.5649494 g5 37 + s2 cntrl
#> 11 row_1 col_3 7 1.9459101 g1 1 - s3 drug
#> 12 row_2 col_3 1 0.0000000 g2 24 + s3 drug
#> 13 row_3 col_3 15 2.7080502 g3 60 + s3 drug
#> 14 row_4 col_3 10 2.3025851 g4 39 - s3 drug
#> 15 row_5 col_3 12 2.4849066 g5 37 + s3 drug
#> 16 row_1 col_4 9 2.1972246 g1 1 - s4 drug
#> 17 row_2 col_4 4 1.3862944 g2 24 + s4 drug
#> 18 row_3 col_4 20 2.9957323 g3 60 + s4 drug
#> 19 row_4 col_4 3 1.0986123 g4 39 - s4 drug
#> 20 row_5 col_4 5 1.6094379 g5 37 + s4 drug