biocmask utilizes its own version of rlang::.data pronouns. These may be
used to gain access to other evaluation contexts for a managed set of
data-masks.
Similar to rlang::.data, biocmask::.assays and other exported pronouns
are exported to pass R CMD Checks. When using a biocmask within your package,
import the associated pronoun from biocmask but only use the fully unqualified
name, .assays, .assays_asis, etc.
Format
An object of class NULL of length 0.
An object of class NULL of length 0.
An object of class NULL of length 0.
An object of class NULL of length 0.
An object of class NULL of length 0.
An object of class NULL of length 0.
Examples
mutate(se_simple,
# access via pronoun
rows(sum = rowSums(.assays_asis$counts)),
cols(sum = vapply(.assays$counts, sum, numeric(1))))
#> # A SummarizedExperiment-tibble Abstraction: 5 × 4
#> .features .samples | counts logcounts | gene length direction sum |
#> <chr> <chr> | <int> <dbl> | <chr> <int> <chr> <dbl> |
#> 1 row_1 col_1 | 14 2.64 | g1 1 - 38 |
#> 2 row_2 col_1 | 19 2.94 | g2 24 + 26 |
#> 3 row_3 col_1 | 16 2.77 | g3 60 + 57 |
#> 4 row_4 col_1 | 11 2.40 | g4 39 - 41 |
#> 5 row_5 col_1 | 18 2.89 | g5 37 + 48 |
#> … … … … … … … … …
#> n-4 row_1 col_4 | 9 2.20 | g1 1 - 38 |
#> n-3 row_2 col_4 | 4 1.39 | g2 24 + 26 |
#> n-2 row_3 col_4 | 20 3.00 | g3 60 + 57 |
#> n-1 row_4 col_4 | 3 1.10 | g4 39 - 41 |
#> n row_5 col_4 | 5 1.61 | g5 37 + 48 |
#> # ℹ n = 20
#> # ℹ 3 more variables: sample <chr>, condition <chr>, sum <dbl>