# \donttest{
df_exposures <- prepare_exp(raw_df_exposures, person_id = "player_name",
date = "year", time_expo = "minutes_played")
df_injuries <- prepare_inj(raw_df_injuries, person_id = "player_name",
date_injured = "from", date_recovered = "until")
injd <- prepare_all(data_exposures = df_exposures,
data_injuries = df_injuries,
exp_unit = "matches_minutes")
# }
# \donttest{
library(ggplot2)
our_palette <- c("red3", rev(RColorBrewer::brewer.pal(5, "Reds")), "seagreen3")
gg_prevalence(injd, time_period = "monthly",
title = "Monthly prevalence of sports injuries") +
scale_fill_manual(values = our_palette)
gg_prevalence(injd, time_period = "monthly",
title = "Monthly prevalence of sports injuries",
line_mean = TRUE) +
scale_fill_manual(values = our_palette)
gg_prevalence(injd, time_period = "monthly", by = "injury_type",
title = "Monthly prevalence of each type of sports injury") +
scale_fill_manual(values = our_palette)
gg_prevalence(injd, time_period = "monthly", by = "injury_type",
title = "Monthly prevalence of each type of sports injury",
line_mean = TRUE) +
scale_fill_manual(values = our_palette)
# }
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