plot_fretboard function can be used to create general fretboard diagrams directly in R using ggplot and
plot_chord specifically produces single chord diagrams, but this vignette shows how to create a standalone chord chart using LilyPond. Instead of using
tab to render a score to pdf that may contain a chord chart at the top of the first page, you can use
render_chordchart. This function creates the necessary LilyPond file and sends it to LilyPond for final rendering.
render_chordchart takes chord input in the same way that the
score function does, as a named character vector. The chords and their names are in the same format.
guitarChords dataset down to chords:
#> c:7 c:7 c:7 c:7 #> "x;3;2;3;1;x;" "x;3;5;3;5;3;" "x;3;2;3;1;3;" "8;10;8;9;8;8;" #> c:7 c':7 #> "8;x;8;9;8;x;" "x;x;10;9;11;8;"
The filtering above results in 41 chords. The size of the fretboard diagrams is increased below with
size = 2. Like
lilypond and the
render_* functions that wrap around it for rendering music scores,
render_chordchart also takes the
paper named list arguments. Once the named chord vector is ready, rendering the chord chart is as simple as the following.
hdr <- list( title = "Dominant 7th, major 7th and minor 7th chords", subtitle = "C and F root" ) render_chordchart(chords, "out.png", 2, hdr, list(textheight = 175))
The chord chart template must be kept to one page.