For more help, examples and explanations, see the plate setup vignette:
vignette("platesetup_vignette", package = "tidyqpcr")
create_blank_plate(well_row = LETTERS[1:16], well_col = 1:24)
create_blank_plate_96well()
make_row_names_lc1536()
make_row_names_echo1536()
create_blank_plate_1536well(
  well_row = make_row_names_lc1536(),
  well_col = 1:48
)| well_row | Vector of Row labels, usually LETTERS  | 
    
|---|---|
| well_col | Vector of Column labels, usually numbers  | 
    
tibble (data frame) with columns well_row, well_col, well. This contains all pairwise combinations of well_row and well_col, as well as individual well names. Both well_row and well_col are coerced to factors (even if well_col is supplied as numbers), to ensure order is consistent.
However, well is a character vector as that is the default behaviour of "unite", and display order doesn't matter.
Default value describes a full 384-well plate.
create_blank_plate_96well: create blank 96-well plate
make_row_names_lc1536: Row names for 1536-well plates on
Roche LightCycler (tm) 1536 Aa,Ab,Ac,Ad,Ba,...,Hd.
make_row_names_echo1536: Row names for 1536-well plates on
Labcyte Echo A,B,...,Z,AA,AB,...,AF.
create_blank_plate_1536well: create blank 1536-well plate
Other plate creation functions: 
create_colkey_4diln_2ctrl_in_24(),
create_colkey_6_in_24(),
create_colkey_6diln_2ctrl_in_24(),
create_rowkey_4_in_16(),
create_rowkey_8_in_16_plain(),
display_plate(),
label_plate_rowcol()
create_blank_plate(well_row=LETTERS[1:2],well_col=1:3)
#> # A tibble: 6 x 3
#>   well  well_row well_col
#>   <chr> <fct>    <fct>   
#> 1 A1    A        1       
#> 2 A2    A        2       
#> 3 A3    A        3       
#> 4 B1    B        1       
#> 5 B2    B        2       
#> 6 B3    B        3       
create_blank_plate_96well()
#> # A tibble: 96 x 3
#>    well  well_row well_col
#>    <chr> <fct>    <fct>   
#>  1 A1    A        1       
#>  2 A2    A        2       
#>  3 A3    A        3       
#>  4 A4    A        4       
#>  5 A5    A        5       
#>  6 A6    A        6       
#>  7 A7    A        7       
#>  8 A8    A        8       
#>  9 A9    A        9       
#> 10 A10   A        10      
#> # … with 86 more rows