热图图中的重叠标签

发布于 2025-02-08 15:16:56 字数 222 浏览 3 评论 0原文

我正在通过COOCCUR软件包生产热图，但我得到了重叠的物种名称。如何解决？该图是由以下代码生成的：

M <- cooccur(mat = M, type = "spp_site", thresh = T, spp_names = TRUE, prob = "hyper")
plot(M, plotrand = TRUE)

原文

I am producing a heatmap via cooccur package but I am getting overlapping species names. How to solve it?
The plot was produced by the following codes:

M <- cooccur(mat = M, type = "spp_site", thresh = T, spp_names = TRUE, prob = "hyper")
plot(M, plotrand = TRUE)

enter image description here

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薄荷梦 2025-02-15 15:16:56

不幸的是，作者没有在功能中使用定义的主题。在这篇文章中如何更改R图表中的默认字体大小 @gregor Thomas给出一个很好的答案。您可以做的是创建自己的主题，例如ggplot。在这里，我将finches数据集用作示例：

library(cooccur)
data("finches")
cooccur.finches <- cooccur(mat=finches,
               type="spp_site",
               thresh=TRUE,
               spp_names=TRUE)
summary(cooccur.finches)
plot(cooccur.finches,cex.sub = 0.1)

p <- plot(cooccur.finches)
p + theme_bw(base_size = 28) +
  theme(axis.text = element_blank(), 
        axis.ticks = element_blank(), 
        plot.title = element_text(vjust = -4, face = "bold"), 
        panel.background = element_rect(fill = "white", colour = "white"), 
        panel.grid = element_blank(),
        legend.position = c(0.9, 0.5))

output：

我建议使用ggplot 。这是一个很好的帖子，可以肯定可以帮助您：更改ggplot2中轴文本的字体大小和方向

Unfortunately, the author didn't use defined themes inside the function. In this post How to change default font size in R chart @Gregor Thomas give a nice answer. What you can do is create your own theme like in ggplot. Here I use the finches dataset as an example:

library(cooccur)
data("finches")
cooccur.finches <- cooccur(mat=finches,
               type="spp_site",
               thresh=TRUE,
               spp_names=TRUE)
summary(cooccur.finches)
plot(cooccur.finches,cex.sub = 0.1)

p <- plot(cooccur.finches)
p + theme_bw(base_size = 28) +
  theme(axis.text = element_blank(), 
        axis.ticks = element_blank(), 
        plot.title = element_text(vjust = -4, face = "bold"), 
        panel.background = element_rect(fill = "white", colour = "white"), 
        panel.grid = element_blank(),
        legend.position = c(0.9, 0.5))

Output:

I would suggest playing around with the theme options from ggplot. Here is a good post which can help you for sure: Changing font size and direction of axes text in ggplot2

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