learn_field.Rdlearn field paramters as list
learn_field(lines, sep)a vector of character strings from template file.
a character specifying the separator.
a list of field parameters containing
a vector of characters specifying the filed name. In DATASET_HEATMAP, the labels are shown as heatamp column names.
define colors for each individual field column (use hexadecimal, RGB or RGBA notation; if using RGB/RGBA, COMMA cannot be used as SEPARATOR)
Shape should be a number between 1 and 6, or any protein domain shape definition. 1-square, 2-circle, 3-star, 4-right pointing triangle, 5-left pointing triangle, 6-checkmark
tree <- system.file("extdata",
"tree_of_itol_templates.tree",
package = "itol.toolkit")
df_frequence <- data.table::fread(system.file("extdata",
"templates_frequence.txt",
package = "itol.toolkit"))
## create unit
unit <- create_unit(data = df_frequence,
key = "Quickstart",
type = "DATASET_HEATMAP",
tree = tree)
#> Using the first column as id: templates
## write unit
file <- tempfile()
write_unit(unit,file)
## Learn legend parameters
lines <- line_clean(file=file)
sep = learn_separator(file = file)
learn_field(lines = lines, sep = sep)
#> $labels
#> [1] "10.1016/j.jhazmat.2022.129230" "10.1016j.envpol.2022.120243"
#> [3] "10.1128/mSystems.00258-21" "10.1038/s41467-022-31113-w"
#> [5] "10.1128/mSystems.00093-19" "10.3390/pathogens11091022"
#> [7] "10.1038/s41467-022-33238-4" "10.1099/mgen.0.000839"
#> [9] "10.1038/s41467-019-10191" "10.1038/s41598-018-25545-y"
#> [11] "10.1016/j.cub.2021.01.001" "10.3389/fpls.2021.693039"
#> [13] "10.1128/spectrum.02211-22" "10.1371/journal.pgen.1010097"
#> [15] "10.1371/journal.pgen.1010112" "10.1101/2022.06.22.497255"
#> [17] "10.1186/s40168-021-01016-x" "10.1101/2022.12.08.519582"
#> [19] "10.1016/j.foodcont.2021.108572" "10.1016/j.foodres.2022.111998"
#> [21] "10.1038/s41467-022-35452-6"
#>
#> $colors
#> NULL
#>
#> $shapes
#> NULL
#>