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r中NetGraph中点的控制大小

发布于 2025-01-18 17:25:52 字数 100 浏览 2 评论 0原文

在R中，NetGraph（）函数采用CEXS。点参数，该参数控制着图中的点的外观。是否可以通过我的.excel中的变量来扩展点的大小？

谢谢你，

我不知道论点

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时光与爱终年不遇 2025-01-25 17:25:52

目前尚不清楚您通过“按我的excel中的变量缩放点”的意思，如果您不确定参数，您可以查看netgraph。

假设您有这样的点大小的向量：

my_point_sizes <- c(1, 1, 2, 1, 4, 1, 6, 2, 1, 1)

和这样的netmeta对象：

library(netmeta)

load(system.file("/data/Senn2013.rda", package = "netmeta"))

net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
                data = Senn2013, sm = "MD", reference = "plac")

然后，您可以将大小应用到这样的点：

netgraph(net1, points = TRUE, cex.points = my_point_sizes)

^{在2022-04-03创建的 reprex package （v2.0.1）< /sup>}

It's not clear what you mean by "scaling the points by a variable in my Excel", and if you are unsure of the arguments, you could have a look at ?netgraph.

Suppose you had a vector of point sizes like this:

my_point_sizes <- c(1, 1, 2, 1, 4, 1, 6, 2, 1, 1)

And a netmeta object like this:

library(netmeta)

load(system.file("/data/Senn2013.rda", package = "netmeta"))

net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
                data = Senn2013, sm = "MD", reference = "plac")

Then you can apply the sizes to the points like this:

netgraph(net1, points = TRUE, cex.points = my_point_sizes)

^{Created on 2022-04-03 by the reprex package (v2.0.1)}

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你在看孤独的风景 2025-01-25 17:25:52

这是一种绘制由数据定义大小的点的方法。函数netmeta是S3类“netmeta”的列表，并且有两个成员treat1和treat2。

基本 R 函数 table 可以计算频率，但由于它们是两个向量的频率，因此这两个向量必须组合成一个 1 维向量。这是通过c() 完成的。

suppressPackageStartupMessages(library(netmeta))

data(Senn2013)
net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
                data = Senn2013, sm = "MD", reference = "plac")

# points size proportional to data frequencies
pts_size <- table(c(net1$treat1, net1$treat2))

netgraph(net1, points = TRUE, cex.points = pts_size)

^{由 reprex 包 (v2.0.1)}

Here is a way to plot the points with sizes defined by the data. Function netmeta is a list of S3 class "netmeta" and has two members treat1 and treat2.

Base R function table can compute the frequencies but since they are the frequencies of two vectors, the two vectors must be combined to a 1-dim vector. This is done with c().

suppressPackageStartupMessages(library(netmeta))

data(Senn2013)
net1 <- netmeta(TE, seTE, treat1, treat2, studlab,
                data = Senn2013, sm = "MD", reference = "plac")

# points size proportional to data frequencies
pts_size <- table(c(net1$treat1, net1$treat2))

netgraph(net1, points = TRUE, cex.points = pts_size)

^{Created on 2022-04-03 by the reprex package (v2.0.1)}

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