如何在R ggplot2中的geom_smooth（facet_wrap）中传递多个公式？

发布于 2025-01-20 21:22:31 字数 738 浏览 3 评论 0原文

我想为每个因素中的每个因素（var.test）拟合三个不同的功能。我尝试了以下方法，但是我会发现一个错误，该错误读取警告消息：1：计算失败 stat_smooth（）：无效公式。有其他方法可以立即通过多个公式阅读吗？

set.seed(14)
df <- data.frame(
  var.test = c("T","T","T","T","M","M","M","M","A","A","A","A"),
  val.test = rnorm(12,4,5),
  x = c(1:12)
)

my.formula <- c(y~x + I(x^2), y~x, y~x + I(x^2))

ggplot(df, aes(x = x, y = val.test)) + geom_point() +
  geom_smooth(method="glm", formula = my.formula, 
              method.args = list(family = "poisson"), color = "black" ) + facet_grid(.~var.test)

原文

I want to fit three different functions for each of these factors (var.test). I tried the following method but I get an error that reads Warning messages: 1: Computation failed instat_smooth():invalid formula. Any other way to get multiple formulae to read be passed at once?

set.seed(14)
df <- data.frame(
  var.test = c("T","T","T","T","M","M","M","M","A","A","A","A"),
  val.test = rnorm(12,4,5),
  x = c(1:12)
)

my.formula <- c(y~x + I(x^2), y~x, y~x + I(x^2))

ggplot(df, aes(x = x, y = val.test)) + geom_point() +
  geom_smooth(method="glm", formula = my.formula, 
              method.args = list(family = "poisson"), color = "black" ) + facet_grid(.~var.test)

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猫弦 2025-01-27 21:22:31

每个 geom_smooth() 只能有一个公式。您需要添加三个不同的 geom_smooth 图层。您可以手动执行此操作

ggplot(df, aes(x = x, y = val.test)) + 
  geom_point() +
  geom_smooth(method="glm", formula = my.formula[[1]], method.args = list(family = "poisson"), color = "black" ) + 
  geom_smooth(method="glm", formula = my.formula[[2]], method.args = list(family = "poisson"), color = "black" ) + 
  geom_smooth(method="glm", formula = my.formula[[3]], method.args = list(family = "poisson"), color = "black" ) + 
  facet_grid(.~var.test)

或者您可以使用 lapply 来帮助

ggplot(df, aes(x = x, y = val.test)) + 
  geom_point() +
  lapply(my.formula, function(x) geom_smooth(method="glm", formula = x, 
              method.args = list(family = "poisson"), color = "black" )) + 
  facet_grid(.~var.test)

如果您希望每个面板有不同的行，那么您可以过滤每个面板的数据。在这里，我们使用 maply 帮助器并对每行数据进行子集化。

ggplot(df, aes(x = x, y = val.test)) + 
  geom_point() +
  mapply(function(x, z) geom_smooth(method="glm", data=function(d) subset(d, var.test==z), formula = x, 
              method.args = list(family = "poisson"), color = "black" ),
         my.formula, c("A","M","T")) + 
facet_grid(.~var.test)

You can only have one formula per geom_smooth(). You'll need to add three different geom_smooth layers. YOu can do that manually

ggplot(df, aes(x = x, y = val.test)) + 
  geom_point() +
  geom_smooth(method="glm", formula = my.formula[[1]], method.args = list(family = "poisson"), color = "black" ) + 
  geom_smooth(method="glm", formula = my.formula[[2]], method.args = list(family = "poisson"), color = "black" ) + 
  geom_smooth(method="glm", formula = my.formula[[3]], method.args = list(family = "poisson"), color = "black" ) + 
  facet_grid(.~var.test)

Or you can use lapply to help

ggplot(df, aes(x = x, y = val.test)) + 
  geom_point() +
  lapply(my.formula, function(x) geom_smooth(method="glm", formula = x, 
              method.args = list(family = "poisson"), color = "black" )) + 
  facet_grid(.~var.test)

If you want different lines per panel, then you can filter your data for each panel. Here we use an mapply helper and subset the data for each line.

ggplot(df, aes(x = x, y = val.test)) + 
  geom_point() +
  mapply(function(x, z) geom_smooth(method="glm", data=function(d) subset(d, var.test==z), formula = x, 
              method.args = list(family = "poisson"), color = "black" ),
         my.formula, c("A","M","T")) + 
facet_grid(.~var.test)