Complete select_transcripts()

[lcolladotor]

You might want to use code like this to create the vector of transcript IDs.

x <- letters
x
#>  [1] "a" "b" "c" "d" "e" "f" "g" "h" "i" "j" "k" "l" "m" "n" "o" "p" "q" "r" "s"
#> [20] "t" "u" "v" "w" "x" "y" "z"
cat(paste0('c("', paste(x, collapse = '", "'), '")'))
#> c("a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v", "w", "x", "y", "z")

^{Created on 2022-03-15 by the reprex package (v2.0.1)}

Then you can copy paste it into

qsvaR/R/select_transcripts.R

Line 24 in 13f67ee

return("TODO")

.

[lcolladotor]

You might prefer to save these vectors as new objects. Then others can access them if needed. Aka, usethis::use_data_raw() and usethis::use_data().

[lcolladotor]

Expand the description and/or details such that it explains really well what are each of the sets and why you would want to use one over the other in some situations. We'll probably use that same text (or shorten it) on the vignette and the paper.

[lcolladotor]

On the vignette we could use https://cran.r-project.org/package=UpSetR to show a venn diagram of the different transcript sets. Since you have 4 sets in mind, we could use VennDiagram instead if you prefer.