如何使用radial.plot / ggplot2創建顯示每月存在或不存在的圓形圖

Question

我想在ggplot2中創建一個圖形（類似於附圖），它是圓形的，在軸上表示年份，因此圓周周圍有十二個刻度線，一個內部弧形對應於幾個月，其中pa = 1（其他選項是pa = 0）和另一個內部弧（第一個弧的外部）對應於sampled = 1（其他選項被sampled = 0）。 數據如下所示：

 m
   season pa month sampled occupancy
1  spring  1     3       1   present
2  spring  1     4       1   present
3  spring  1     5       1   present
4  summer  1     6       1   present
5  summer  1     7       1   present
6  summer  1     8       1   present
7  winter  0    12       1    absent
8  winter  0     1       0    absent
9  winter  0     2       0    absent
10   fall  1     9       1   present
11   fall  1    10       1   present
12   fall  1    11       1   present

我之前使用ggplot(m, aes(season, fill=season))和geom_bar(width=1)和coord_polar()但這只是給了我一個餅圖。

現在嘗試：

radial.plot(m, radial.pos=c(1,2,3,4,5,6,7,8,9,10,11,12), labels="", rp.type="r",
            line.col=8, lwd=3, add=TRUE)

並得到錯誤

plot.new還沒有被調用

我想我誤解了radial.plot需要什么輸入，並且可能使用了錯誤的函數來獲得我想要的輸出。

Answer 1

以下是ggplot2中的兩種不同方法，用於將提供的數據轉換為極坐標圖。 這兩種方法在處理month方面有所不同。

讀數據

library(data.table)
m <- fread("id   season pa month sampled occupancy
           1  spring  1     3       1   present
           2  spring  1     4       1   present
           3  spring  1     5       1   present
           4  summer  1     6       1   present
           5  summer  1     7       1   present
           6  summer  1     8       1   present
           7  winter  0    12       1    absent
           8  winter  0     1       0    absent
           9  winter  0     2       0    absent
           10   fall  1     9       1   present
           11   fall  1    10       1   present
           12   fall  1    11       1   present")

准備數據

# reshape from wide to long (as preferred by ggplot)
ml <- melt(m, measure.vars = c("pa", "sampled"))
# create factors to ensure desired order
ml[, variable := factor(variable, levels = c("pa", "sampled"))]

變式1：作為因素的月份

ml[, fct_month := factor(month, levels = 1:12, labels = month.abb)]
library(ggplot2)
ggplot(ml[value != 0], aes(x = fct_month, y = variable, 
                           group = variable, colour = variable)) + 
  geom_line(size = 5) +
  scale_y_discrete(expand = c(0, 1), breaks = NULL) +
  xlim(month.abb) + 
  coord_polar() +
  theme_bw() + xlab(NULL) + ylab(NULL)

變式2：作為期間的月份（具有開始和結束日期）

ml[, start := as.Date("2016-01-01") + base::months(month - 1L)]
# last day of month = begin of next month - 1 day
ml[, end := as.Date("2016-01-01") + base::months(month) - 1L]
library(ggplot2)
ggplot(ml, aes(x = start, xend = end, y = variable, yend = variable,
               group = variable, colour = variable,
               size = value)) + 
  geom_segment() +
  scale_y_discrete(expand = c(0, 1), breaks = NULL) +
  scale_x_date(date_breaks = "1 month", date_labels = month.abb,
               limits = range(c(ml$start, ml$end))) +
  scale_size(guide = FALSE) +
  coord_polar() +
  theme_bw() + xlab(NULL) + ylab(NULL)

變體3：彩色背景

響應評論中的請求，此變體單獨為每個變量着色背景，而環段保持黑色。 所以，如果我們要添加第三個變量，它將獲得自己的彩色背景環。

ml[, start_year := as.Date("2016-01-01")]
# last day of month = begin of next month - 1 day
ml[, end_year := as.Date("2016-12-31")]
ml[, start := start_year + base::months(month - 1L)]
ml[, end := start_year + base::months(month) - 1L]

library(ggplot2)
bg_height <- 1.0
ggplot(ml) + 
  geom_rect(aes(xmin = start_year, xmax = end_year, 
                ymin = as.integer(variable) - 0.5 * bg_height, 
                ymax = as.integer(variable) + 0.5 * bg_height,
                group = variable, fill = variable)
            ) + 
  geom_segment(aes(x = start, xend = end, y = variable, yend = variable,
                   group = variable, size = value),
               colour = "gray20") +
  scale_y_discrete(expand = c(0, 1), breaks = NULL) +
  scale_x_date(date_breaks = "1 month", date_labels = month.abb,
               limits = range(c(ml$start, ml$end))) +
  scale_size(guide = FALSE) +
  scale_fill_brewer(palette = "Blues") +
  coord_polar() +
  theme_bw() + xlab(NULL) + ylab(NULL)

Answer 2

我不確定如何將您的數據與上圖相關聯，但以下代碼是否有幫助？

df <- data.frame(startdate  = as.Date(c("2016-02-20", "2016-02-20", "2016-02-20")),
             finishdate = as.Date(c("2016-04-30", "2016-04-30", "2016-06-10")),
             y          = c(4,5,8))


library(ggplot2)

ggplot(df) +
  geom_rect(aes(xmin = startdate, 
                xmax = finishdate,
                ymin = y-0.2,
                ymax = y + 0.2)) +
  geom_rect(aes(xmin = startdate - 5, 
                xmax = finishdate + 5,
                ymin = y-0.05,
                ymax = y + 0.05)) +
  xlim(as.Date("2016-01-01"), as.Date("2016-12-31")) +
  ylim(0,10) +
  coord_polar()