数据太多展示不全？试试阿基米德螺线吧！

install.packages("spiralize")library(spiralize)##最新版本library(devtools)install_github("jokergoo/spiralize")[object Object]

# 左spiral_initialize(start = 90, end = 360)spiral_track()##初始化#右spiral_initialize(start = 180, end = 360*4 + 180)spiral_track()

# 左spiral_initialize(scale_by = "angle") # defaultspiral_track(height = 0.6)spiral_axis()
# 右spiral_initialize(scale_by = "curve_length")spiral_track(height = 0.6)spiral_axis()

#左spiral_initialize()spiral_track(height = 1, background_gp = gpar(col = "black"))##黑色边框#右spiral_initialize()spiral_track(height = 0.5)

spiral_initialize()spiral_track(height = 0.4, background_gp = gpar(fill = 2))spiral_track(height = 0.2, background_gp = gpar(fill = 3))spiral_track(height = 0.1, background_gp = gpar(fill = 4))

#散点图spiral_initialize() # by default xlim = c(0, 1)spiral_track() # by default ylim = c(0, 1)spiral_points(x = runif(1000), y = runif(1000))#折线图x = sort(runif(1000))y = runif(1000)spiral_initialize()spiral_track()spiral_lines(x, y)

# the left plotspiral_initialize()spiral_track()spiral_lines(x, y, type = "h")
# the right plotspiral_initialize()spiral_track()spiral_lines(x, y, type = "h", baseline = 0.5, gp = gpar(col = ifelse(y > 0.5, "red", "blue")))

n = 1000require(circlize)spiral_initialize(xlim = c(0, n))spiral_track(height = 0.9)
x1 = runif(n)col1 = circlize::colorRamp2(c(0, 0.5, 1), c("blue", "white", "red"))spiral_rect(1:n - 1, 0, 1:n, 0.5, gp = gpar(fill = col1(x1), col = NA))
x2 = runif(n)col2 = circlize::colorRamp2(c(0, 0.5, 1), c("green", "white", "red"))spiral_rect(1:n - 1, 0.5, 1:n, 1, gp = gpar(fill = col2(x2), col = NA))

x = seq(1, 1000, by = 1) - 0.5 # middle points of barsy = runif(1000)
# the left plotspiral_initialize(xlim = c(0, 1000))spiral_track(height = 0.8)spiral_bars(x, y)
# the right plotspiral_initialize(xlim = c(0, 1000))spiral_track(height = 0.8)spiral_bars(x, y, baseline = 0.5, gp = gpar(fill = ifelse(y > 0.5, 2, 3), col = NA))

y = matrix(runif(3*1000), ncol = 3)y = y/rowSums(y)spiral_initialize(xlim = c(0, 1000))spiral_track(height = 0.8)spiral_bars(x, y, gp = gpar(fill = 2:4, col = NA))

df = readRDS(system.file("extdata", "ggplot2_downloads.rds", package = "spiralize"))
df = df[df$date < as.Date("2021-01-01"), ]day_diff = as.double(df$date[nrow(df)] - df$date[1], "days")year_mean = tapply(df$count, lubridate::year(df$date), function(x) mean(x[x > 0]))
df$diff = log2(df$count/year_mean[as.character(lubridate::year(df$date))])df$diff[is.infinite(df$diff)] = 0q = quantile(abs(df$diff), 0.99) # adjust outliersdf$diff[df$diff > q] = qdf$diff[df$diff < -q] = -q

library(ape)data(hivtree.newick)tree.hiv = read.tree(textConnection(hivtree.newick))n = length(tree.hiv$tip.label) # number of leaves
spiral_initialize(xlim =c(0, n), start = 360, end = 360*2 + 180, scale_by = "curve_length")spiral_track()spiral_phylo(tree.hiv)
split = dendextend::cutree(phylo_to_dendrogram(tree.hiv), k = 8)tb = table(split)for(i in seq_along(tb)) { spiral_highlight(sum(tb[seq_len(i-1)]), sum(tb[seq_len(i)]), gp = gpar(fill = i))}

spiral_initialize(xlim =c(0, n), start = 360, end = 360*2 + 180, scale_by = "curve_length")spiral_track()spiral_phylo(tree.hiv, group = split)