在 R 中创建水平条形图以显示活动顺序

Question

数据集“患者”是患者访问诊所并接受治疗的事件日志。下面的脚本给出了一个数据框，其中包含事件日志中的跟踪或活动序列、trace_id 和特定跟踪之后的案例的绝对频率。我希望使用ggplot2 或plotly 创建一个动态水平条形图，以便将轨迹表示为像带有轴标签的条形顶部的绝对频率百分比的快照。

谢谢，请帮忙！

library("bupaR")
traces(patients, output_traces = T, output_cases = F)

Answer 1

希望这会有所帮助（但是我无法获得频率）

library(splitstackshape)

tr <- data.frame(traces(patients, output_traces = T, output_cases = F))
tr.df <- cSplit(tr, "trace", ",")

tr.df <- tr.df[,c(1,4:9)]
tr.df <- melt(tr.df, id.vars = "trace_id")

windows()
ggplot(data = tr.df, aes(x = variable,y = trace_id, fill = value, label = 
value)) + 
geom_tile(colour = "white") + 
geom_text(colour = "white", fontface = "bold", size = 2) +
scale_fill_discrete(na.value="transparent") +
theme(legend.position="none")

编辑 1：

library(splitstackshape)
library(bupaR)
library(ggplot2)

tr <- data.frame(traces(patients, output_traces = T, output_cases = F))
tr.df <- cSplit(tr, "trace", ",")

tr.df <- tr.df[,c(1,4:9)]
tr.df <- melt(tr.df, id.vars = "trace_id")
tr.df <- tr.df[order(tr.df$trace_id),]

tr.label <- data.frame(id = tr$trace_id, freq = tr$absolute_frequency)
tr.label <- tr.label[order(tr.label$id),]

windows()
ggplot(data = tr.df, aes(x = variable,y = trace_id, fill = value, label = value)) + 
geom_tile(colour = "white") + 
geom_text(colour = "white", fontface = "bold", size = 2) +
scale_fill_discrete(na.value="transparent") +
theme(legend.position="none") + 
geom_text(data = tr.label, aes(label = freq, y = id, x = 6), nudge_x = 0.3,  
          colour = "black", fontface = "bold", inherit.aes = FALSE)