## ----include = FALSE----------------------------------------------------------
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.width = 7.16,
  fig.height = 6,
  dev = "png"
)

## ----setup--------------------------------------------------------------------
library(ggplot2)
library(geomtextpath)

## ----weather_plot_coordpolar--------------------------------------------------
df <- data.frame(Temperature = c(4.4, 4.6, 6.3, 8.7, 11.6, 14.1, 15.9, 15.5,
                                 13.1, 9.7, 6.7, 4.3, 3.6, 3.9, 6.4, 9.7, 13.2,
                                 15.8, 18, 17.8, 15.1, 11.2, 7.2, 4.4),
                 City = rep(c("Glasgow", "Amsterdam"), each = 12),
                 Month = factor(rep(month.name, 2), month.name))

p <- ggplot(df, aes(Month, Temperature)) +
      geom_col(aes(fill = City), position = position_dodge(width = 1)) +
      geom_vline(xintercept = 1:13 - 0.5, color = "gray90") +
      geom_hline(yintercept = 0:3 * 5, color = "gray90") +
      scale_fill_manual(values = c("darkorange", "dodgerblue4")) +
      ggtitle("Average monthly temperature in Amsterdam and Glasgow") +
      theme_bw() +
      theme(panel.border = element_blank(),
            axis.text.x = element_text(size = 14),
            axis.title.x = element_blank(),
            panel.grid.major = element_blank())

p + coord_polar()

## ----weather_plot_coordcurvedpolar--------------------------------------------
p + coord_curvedpolar()

## ----weather_plot_coordcurvedpolar_theme--------------------------------------
p + coord_curvedpolar() + 
  theme(axis.text.x = element_text(face = 2, color = "orangered3", hjust = 0))

## ----coords_cartesian---------------------------------------------------------
df <- data.frame(x = c(1, 1000), y = 1, text = "This is a perfectly flat label")

p <- ggplot(df, aes(x, y, label = text)) +
  geom_textpath(size = 6) +
  ylim(c(0.9, 1.1))
p

## ----coords_polar-------------------------------------------------------------
p + coord_polar(start = pi)

## ----mtcars_reference---------------------------------------------------------

p <- ggplot(mtcars, aes(mpg, disp)) + 
  geom_point() + 
  geom_texthline(yintercept = 200, label = "displacement", 
                 hjust = 0, vjust = -0.2, color = "red4") +
  geom_textvline(xintercept = 20, label = "consumption", hjust = 0.8,
                 linetype = 2, vjust = 1.3, color = "blue4")

p

## ----mtcars_polar-------------------------------------------------------------

p + coord_polar()

## ----fancy_cartesian----------------------------------------------------------
df <- data.frame(x1 = c(seq(0, 10/6 * pi, pi/3),
                  seq(0, 10/6 * pi, 2*pi/3)),
           y1 = c(rep(2, 6), rep(-1, 3)),
           x2 = c(seq(0, 10/6 * pi, pi/3)  + pi/3,
                  seq(0, 10/6 * pi, 2*pi/3) + 2*pi/3),
           y2 = c(rep(4, 6), rep(2, 3)),
           group = letters[c(1:6, (1:3) * 2)],
           alpha = c(rep(1, 6), rep(0.4, 3)))

p <- ggplot(df, aes(x1, y1)) +
  geom_rect(aes(xmin = x1, xmax = x2, ymin = y1, ymax = y2, fill = group,
                alpha = alpha),
            color = "white", size = 2) +
  geom_textpath(data = data.frame(x1 = seq(0, 2 * pi, length = 300),
           y1 = rep(0.5, 300),
           label = rep(c("stats", "effects", "polar"), each = 100)),
           aes(label = label), linetype = 0, size = 8,
           upright = TRUE) +
  geom_textpath(data = data.frame(x1 = seq(0, 2 * pi, length = 300),
           y1 = rep(3, 300),
           label = rep(c("density", "smooth", "unique", "organic",
                         "easy to use", "automatic"), 
                       each = 50)),
           aes(label = label), linetype = 0, size = 4.6, color = "white",
           upright = TRUE) +
  scale_y_continuous(limits = c(-5, 4)) +
  scale_x_continuous(limits = c(0, 2*pi)) +
  scale_fill_manual(values = c("deepskyblue3", "deepskyblue4",
                               "green3", "green4","tomato", "tomato2")) +
  scale_alpha_identity() +
  theme_void() +
  theme(legend.position = "none") 

p

## ----fancy_polar--------------------------------------------------------------

p + coord_polar()