不知何时起,我总是喜欢在推文前面写上写在前面,可能是表达我的一种心境吧。在家里的日子在不断的测试和完善流程,每当我累了的时候,总想去gogle找一些新鲜东西,然后修改,适最后合自己的模子,变成对自己功能强大的样子,慢慢的这种方式变成了习惯。 在本文中,我将展示如何使用ggplot2绘图包在R中创建各种样式的“华夫饼”图。我定义了超过物种华夫饼图的元素,这些元素当然都会来自ggplot和相关的R包,然后修改了一个gihub上的函数,用于出图,因为后面微生物领域需要哟一些华夫饼图的需求,所以我这里做了一些尝试,希望可以有一些思考。 首先,我将为模拟数据创建一个数据框,初始化数据类型: library(dplyr) d <- data_frame( date = as.Date(1:813, origin = "2018-01-01"), year = format(date, "%Y"), week = as.integer(format(date, "%W")) + 1, # Week starts at 1 day = factor(weekdays(date, TRUE), levels = rev(c("周一","周二","周三","周四","周五","周六","周日"))), hours = 0) d ## # A tibble: 813 x 5 ## date year week day hours ## <date> <chr> <dbl> <fct> <dbl> ## 1 2018-01-02 2018 2 周二 0 ## 2 2018-01-03 2018 2 周三 0 ## 3 2018-01-04 2018 2 周四 0 ## 4 2018-01-05 2018 2 周五 0 ## 5 2018-01-06 2018 2 周六 0 ## 6 2018-01-07 2018 2 周日 0 ## 7 2018-01-08 2018 3 周一 0 ## 8 2018-01-09 2018 3 周二 0 ## 9 2018-01-10 2018 3 周三 0 ## 10 2018-01-11 2018 3 周四 0 ## # ... with 803 more rows 然后模拟每个日期的工作时间。我将模拟周末和工作日分别工作的小时数,以使生成的数据更加真实,并模拟数据的缺失值(即没有工作的天数)。 set.seed(1) # Simulate weekends weekends <- dplyr::filter(d, grepl("S(at|un)", day)) # Hours worked are (might be) poisson distributed weekends$hours <- rpois(nrow(weekends), lambda = 4) # Simulate missing days with probability .7 weekends$na <- rbinom(nrow(weekends), 1, 0.7) weekends$hours <- ifelse(weekends$na, NA, weekends$hours)
# Simulate weekdays weekdays <- filter(d, !grepl("S(at|un)", day)) weekdays$hours <- rpois(nrow(weekdays), lambda = 8) # Greater lambda weekdays$na <- rbinom(nrow(weekdays), 1, 0.1) # Smaller p(missing) weekdays$hours <- ifelse(weekdays$na, NA, weekdays$hours)
# Concatenate weekends and weekdays and arrange by date d <- bind_rows(weekends, weekdays) %>% arrange(date) %>% # Arrange by date select(-na) # Remove na column d ## # A tibble: 813 x 5 ## date year week day hours ## <date> <chr> <dbl> <fct> <int> ## 1 2018-01-02 2018 2 周二 NA ## 2 2018-01-03 2018 2 周三 7 ## 3 2018-01-04 2018 2 周四 8 ## 4 2018-01-05 2018 2 周五 NA ## 5 2018-01-06 2018 2 周六 NA ## 6 2018-01-07 2018 2 周日 12 ## 7 2018-01-08 2018 3 周一 13 ## 8 2018-01-09 2018 3 周二 9 ## 9 2018-01-10 2018 3 周三 9 ## 10 2018-01-11 2018 3 周四 4 ## # ... with 803 more rows 然后,我将创建一个绘制华夫饼图的函数。如果您具有类似的结构化数据,则可以复制粘贴该函数并将其用于数据)。 library(ggplot2) library(viridis) # Color palette library(ggthemes) library(ggcor) gh_waffle <- function(data, pal = "D", dir = -1,type = 21){ p <- ggplot(data, aes(x = week, y = day, fill = hours)) + scale_fill_viridis(name="Hours", option = pal, # Variable color palette direction = dir, # Variable color direction na.value = "grey93", limits = c(0, max(data$hours))) + # geom_tile(color = "white", size = 0.4) + facet_wrap("year", ncol = 1) + scale_x_continuous( expand = c(0, 0), breaks = seq(1, 52, length = 12), labels = c("Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec")) + theme_tufte(base_family = "Helvetica") + theme(axis.title = element_blank(), axis.ticks = element_blank(), legend.position = "bottom", legend.key.width = unit(1, "cm"), strip.text = element_text(hjust = 0.01, face = "bold", size = 12)) #圆形 if(type == 21){p = p +geom_point(color = "white", size = 4,pch = 21) } #方形 if(type == 22){p = p +geom_point(color = "white", size = 3,pch = 22)} #菱方形 if(type == 23){p = p +geom_point(color = "white", size = 3,pch = 23) } #上三角 if(type == 24){p = p +geom_point(color = "white", size = 3,pch = 24) } #下三角 if(type == 25){p = p +geom_point(color = "white", size = 3,pch = 25) }
#星形状图 if(type == "star"){p = p +geom_star() } #饼图 if(type == "pie2"){p = p + geom_pie2(size = 0.5) } print(p) } gh_waffle()接受三个参数,第一个data是具有以下列的数据框date:(类型:日期),year(数字或字符),week(数字),day(使日期从图的顶部到底部连续的有序因素)和hours(数字) 。第二个选项来pal指定由所使用的四个色调色板一个viridis,并且可以是“A”,“B”,“C”,或“D”。默认值为“ D”,这也是GitHub所使用的。最后一个选项dir指定色标的方向,可以是-1或1。GitHub的默认值为-1。 使用gh_waffle()默认设置,仅提供数据框d,将得到以下结果: gh_waffle(d,pal = "D", dir = -1,type = 21) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_1_20210116121425103_wm)
gh_waffle(d,pal = "D", dir = -1,type = 22) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_2_20210116121425385_wm)
gh_waffle(d,pal = "D", dir = -1,type = 23) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_3_20210116121426103_wm)
gh_waffle(d,pal = "D", dir = -1,type = 24) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_4_20210116121426697_wm)
gh_waffle(d,pal = "D", dir = -1,type = 25) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_5_20210116121426931_wm)
厚哥的包,让我们可以使用五角星的华夫饼图
gh_waffle(d,pal = "D", dir = -1,type = "star") ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_6_20210116121427572_wm)
gh_waffle(d,pal = "D", dir = -1,type = "pie2") ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_7_20210116121428251_wm)
for (pal in c("A", "B", "C")) { gh_waffle(d,pal, dir = -1,type = "star") } ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_8_20210116121428947_wm) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_9_20210116121429307_wm) ![](http://image109.360doc.com/DownloadImg/2021/01/1600/213115254_10_20210116121429603_wm)
https://vuorre./post/2016/03/24/github-style-waffle-plots-in-r/
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