## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>", 
  fig.width = 7, 
  fig.height = 4
)

## ----setup--------------------------------------------------------------------
library(ggplot2)
library(ggtintshade)
library(patchwork)

## ----metab_nested-------------------------------------------------------------
library(ggtintshade)

metab_data <- data.frame(
  metab = rep(c("Alanine", "Threonine", "Glycine",
                "Glycine betaine", "Proline betaine", "Carnitine",
                "DMSP", "DMS-Ac", "Isethionate"), 3),
  metab_group = rep(rep(c("Amino acid", "Betaine", "Sulfur"), each = 3), 3),
  tripl = rep(c("A", "B", "C"), each = 9),
  area  = runif(27)
)
metab_data$metab <- factor(metab_data$metab, levels = unique(metab_data$metab))

ggplot(metab_data) +
  geom_col_tintshade(aes(x=tripl, y=area, fill=metab_group, tintshade = metab))

## ----alignment_crossed--------------------------------------------------------
align_data <- data.frame(
  alignment=1:9,
  moral=rep(c("good", "neutral", "evil"), each=3),
  meta=rep(c("lawful", "neutral", "chaotic"), length.out=9)
)
align_data$moral <- factor(align_data$moral, levels=rev(unique(align_data$moral)))
align_data$meta <- factor(align_data$meta, levels=unique(align_data$meta))

ggplot(align_data) +
  geom_raster_tintshade(aes(x=meta, y=moral, fill=meta, tintshade=moral)) +
  scale_fill_manual(breaks = c("lawful", "neutral", "chaotic"), values=c("#cca40a", "#b52060", "#7623b2")) +
  coord_equal()

## ----diamonds-----------------------------------------------------------------
grp <- c(I1 = "I", SI2 = "SI", SI1 = "SI", VS2 = "VS", VS1 = "VS", VVS2 = "VVS", VVS1 = "VVS", IF = "IF")
diamonds$clarity_group <- factor(grp[as.character(diamonds$clarity)], levels = c("I", "SI", "VS", "VVS", "IF"))
mp <- aggregate(price ~ clarity + clarity_group, diamonds, mean)

crossed_gp <- ggplot(mp) +
  geom_col_tintshade(aes(clarity, price, fill = clarity_group, tintshade = clarity)) +
  scale_tintshade_discrete(range = c(0.4, 0.6)) +
  ggtitle("Nested diamonds") +
  theme(axis.text.x = element_text(angle=90, hjust=1, vjust=0.5))
nested_gp <- ggplot(diamonds) +
  geom_bar_tintshade(aes(x=cut, fill = cut, tintshade = clarity), color="black") +
  ggtitle("Crossed diamonds") +
  scale_tintshade_discrete(range = c(0.1, 0.9)) +
  theme(axis.text.x = element_text(angle=90, hjust=1, vjust=0.5))
crossed_gp + nested_gp

## ----so_bimodal_demo----------------------------------------------------------
temp.data = data.frame (
  Species  = rep(c("A","B"),each=2, times=2),
  Status = rep(c("An","Bac"), times=4),
  Sex = rep(c("Male","Female"), each=4, times=1),
  Proportion = c(6.86, 7.65, 30.13, 35.71, 7.13, 10.33, 29.24, 31.09)
)
init_alpha <- ggplot(temp.data, aes(x = Species, y = Proportion, fill = Status, alpha = Species)) +
  geom_bar(stat='identity', position = position_dodge(width = 0.73), width=.67) +
  facet_grid(Sex ~ .) +
  scale_fill_manual(name = "Status", labels = c("An","Bac"), values = c("#86a681","#0a3e03")) +
  ggtitle("Without ggtintshade")
new_tinted <- ggplot(temp.data, aes(x = Species, y = Proportion, fill = Species, tintshade = Status)) +
  geom_bar_tintshade(stat='identity', position = position_dodge(width = 0.73), width=.67) +
  facet_grid(Sex ~ .) +
  scale_fill_manual(name = "Status", labels = c("An","Bac"), values = c("#cf944c","#0a3e03")) +
  scale_tintshade_discrete(range = c(0.3, 0.7)) +
  ggtitle("With ggtintshade")
init_alpha + new_tinted

## ----so_continuous_demo-------------------------------------------------------
d <- data.frame(
  x=rep(1:20, 5), y=rnorm(100, 5, .2) + rep(1:5, each=20), 
  z=rep(1:20, 5), grp=factor(rep(1:5, each=20))
)

init_alpha <- ggplot(d) +
  geom_path(aes(x, y, color=grp), linewidth=2, lineend=0) +
  geom_path(aes(x, y, group=grp, alpha=z), linewidth=2, lineend=0) +
  ggtitle("Without ggtintshade")
new_tinted <- ggplot(d) + 
  geom_path_tintshade(aes(x, y, color=grp, tintshade=z), linewidth=2, lineend=0) +
  scale_tintshade_continuous(range = c(0.5, 0)) +
  ggtitle("With ggtintshade")
init_alpha + new_tinted

## ----mpgdemo------------------------------------------------------------------
mpgsub <- head(mpg, 60)
mpgsub$model <- factor(mpgsub$model, levels=unique(mpgsub$model))
subset_plot <- ggplot(mpgsub, aes(displ, hwy, colour = manufacturer, tintshade = model)) +
  geom_point_tintshade(size = 3)

mpg$model <- factor(mpg$model, levels=unique(mpg$model))
all_colors <- ggplot(mpg, aes(displ, hwy, colour = manufacturer, tintshade = model)) +
  geom_point_tintshade(size = 3) +
  guides(tintshade=guide_tintshade(ncol = 1))

subset_plot + all_colors

## ----penguins-----------------------------------------------------------------
ggplot(penguins) + 
  geom_point_tintshade(aes(x=bill_len, y=bill_dep, fill=species, tintshade=sex), 
                       pch=21, color="black", size=3)