Logistic回归+直方图与ggplot2

Question

我有一些二进制数据，我想在同一图中同时绘制逻辑回归线和相对频率0和1的直方图。

我在这里使用popbio软件包遇到了一个非常好的实现：shizuka lab's page

这里有一个用库运行的MWE（popbio）（礼貌的shizuka实验室）

bodysize=rnorm(20,30,2) # generates 20 values, with mean of 30 & s.d.=2
bodysize=sort(bodysize) # sorts these values in ascending order.
survive=c(0,0,0,0,0,1,0,1,0,0,1,1,0,1,1,1,0,1,1,1) # assign 'survival' to these 20 individuals non-randomly... most mortality occurs at smaller body size
dat=as.data.frame(cbind(bodysize,survive))

#and now the plot
library(popbio)
logi.hist.plot(bodysize,survive,boxp=FALSE,type="hist",col="gray")

产生

现在，是否可以使用ggplot2执行此操作？

Answer 1

以下是一些想法

ggplot(dat, aes(x = bodysize, y = survive)) + 
  geom_dotplot(
    aes(fill = factor(survive)), method = "histodot", binpositions = "all", 
    stackgroups = TRUE, stackdir = "centerwhole", binwidth = 1
  ) +
  geom_smooth(method = "glm", family = "binomial")

ggplot(dat, aes(x = bodysize, y = survive)) + 
  geom_hex(bins = 10) +
  geom_smooth(method = "glm", family = "binomial")

ggplot(dat, aes(x = bodysize, y = survive)) + 
  geom_bin2d(bins = 10) +
  geom_smooth(method = "glm", family = "binomial")