r - 具有给定权重向量的ggplot平滑线glm模型

Question

我有如下数据:

numbers <- structure(list(density = c(1L, 4L, 10L, 22L, 55L, 121L, 210L, 
444L), females = c(1L, 3L, 7L, 18L, 22L, 41L, 52L, 79L), males = c(0L, 
1L, 3L, 4L, 33L, 80L, 158L, 365L), maleProp = c(0, 0.25, 0.3, 
0.181818181818182, 0.6, 0.661157024793388, 0.752380952380952, 
0.822072072072072), total = c(1L, 4L, 10L, 22L, 55L, 121L, 210L, 
444L)), .Names = c("density", "females", "males", "maleProp", 
"total"), row.names = c(NA, -8L), class = "data.frame")

我想和 glm 有一个流畅的线条方法与 total如 weight .我试过，

ggplot(numbers, aes(density, maleProp)) + geom_point() + 
  stat_smooth(method = "glm", 
              method.args = list(family = "binomial", 
                                 type = "response", 
                                 weights = "total"))

我有错误，

Warning message:
Computation failed in `stat_smooth()`:
formal argument "weights" matched by multiple actual arguments 

在这种情况下如何绘制平滑线？

Answer 1

如果您想使用 glm使用您概述的参数，您可以创建一个包装函数，如下所示:

binomial_smooth <- function(...) {
  geom_smooth(method = "glm", method.args = list(family = "binomial"), ...)
}

您可以直接在 ggplot2 上使用目的:

ggplot(numbers, aes(density, maleProp)) + geom_point() + binomial_smooth(aes(weight = total))