问题
The dataset "patients" is an eventlog of patients visiting a clinic and getting treatment. The script below gives a data frame with traces or sequence of activities in the eventlog, trace_id and absolute frequency of the cases following the particular trace. I wish to create a dynamic horizontal bar chart using ggplot2 or plotly such that the traces are represented like the snapshot attached with the absolute frequency in % at the top of the bar with axes labels.
Thanks and please help!
library("bupaR")
traces(patients, output_traces = T, output_cases = F)
回答1:
Hope this helps (I am not able to get frequency however)
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")
EDIT 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)
来源：https://stackoverflow.com/questions/47278387/creating-a-horizontal-bar-chart-in-r-to-display-sequence-of-activities