Stat out a player character (PC) of specified race and class using your preferred method for rolling ability scores.
Usage
pc_creator(
class = NULL,
race = NULL,
score_method = "4d6",
scores_rolled = FALSE,
scores_df = NULL,
quiet = FALSE
)Arguments
- class
(character) name of character class (supported classes returned by `dnd_classes()`). Also supports "random" and will randomly select a supported class. Random class returned as message
- race
(character) name of character race (supported classes returned by `dnd_races()`). Also supports "random" and will randomly select a supported race. Random race returned as message
- score_method
(character) preferred method of rolling for ability scores "4d6", "3d6", or "1d20" ("d20" also accepted synonym of "1d20"). Only values accepted by `ability_scores()` are accepted here
- scores_rolled
(logical) whether ability scores have previously been rolled (via `ability_scores()`). Defaults to FALSE
- scores_df
(dataframe) if 'scores_rolled' is TRUE, the name of the dataframe object returned by `ability_scores()`
- quiet
(logical) whether to print warnings if the total score is very low or one ability score is very low
Value
(dataframe) raw ability score, race modifier, total ability score, and the roll modifier for each of the six abilities
Examples
# Create a PC's base statistics from scratch
pc_creator(class = 'barbarian', race = 'half orc', score_method = "4d6", quiet = TRUE)
#> ability raw_score race_modifier score roll_modifier
#> 1 STR 17 2 19 +4
#> 2 DEX 8 0 8 -1
#> 3 CON 11 1 12 +1
#> 4 INT 8 0 8 -1
#> 5 WIS 8 0 8 -1
#> 6 CHA 10 0 10 0
# Or you can roll separately and then create a character with that dataframe
my_scores <- ability_scores(method = "4d6", quiet = TRUE)
pc_creator(class = 'sorcerer', race = 'dragonborn', scores_rolled = TRUE, scores_df = my_scores)
#> ability raw_score race_modifier score roll_modifier
#> 1 STR 15 2 17 +3
#> 2 DEX 13 0 13 +1
#> 3 CON 17 0 17 +3
#> 4 INT 11 0 11 0
#> 5 WIS 7 0 7 -2
#> 6 CHA 17 1 18 +4