是否有(最好是简单直接的)方法在R中绘制具有中介系数的简单路径图?
我一直在寻找DiagrammeR
套餐,但这看起来有点矫枉过正(说实话,我没弄弄出如何制作情节)。
我知道的其他选项是Dia或Inkscape,但这些选项需要手动定位,连接路径等。
mediation
包有一个plot
选项但绘制了自举CI,而我想要实现的是一个简单的路径,其系数如下:
答案 0 :(得分:3)
答案 1 :(得分:2)
我对ggraph一无所知,但它可能是一条可能的路线。以下5分钟的谷歌搜索引导我:
library(ggraph)
require(igraph)
test <- data.frame(from = c(1,2,3), to=c(2,3,1), coef = letters[1:3])
simple <- graph_from_data_frame(test)
V(simple)$name <- LETTERS[1:3]
ggraph(simple, layout = 'auto') +
geom_edge_link(aes(label = coef),
angle_calc = 'along',
label_dodge = unit(2.5, 'mm'),
arrow = arrow(length = unit(4, 'mm')),
end_cap = circle(3, 'mm')) +
geom_node_label(aes(label = name),size = 5) +
theme_graph()
我不知道如何强制执行几何(如果可能的话),但好处是布局可以自动推广。
答案 2 :(得分:2)
您可以使用“心理”软件包来测试您的审核/调解,它也会给您带来情节。
mediate(Output ~ Independent1 + (Mediator), data =mydata)
答案 3 :(得分:1)
这是使用DiagrammeR
构建的中介图的两个版本,以及使用TikZ构建的第三版本。每个都有优点和缺点:
DiagrammeR + Graphviz:
TikZ
DiagrammeR本机语法(仅出于完整性考虑而提供)
R
用户进行编辑我已经用函数med_diagram
编码了第一和第二个示例,该函数使用glue
包来组装相关的graphviz或TikZ代码。该函数需要一个data.frame,该行期望一行包含相关标签和系数的列。对于特定于DiagrammeR的功能,还有一些参数可以调整设计的各个元素。
med_data <-
data.frame(
lab_x = "Math\\nAbility",
lab_m = "Math\\nself-efficacy",
lab_y = "Interest in the\\nmath major",
coef_xm = ".47*",
coef_my = ".36*",
coef_xy = "0.33* (.16)"
)
med_diagram <- function(data, height = .75, width = 2, graph_label = NA, node_text_size = 12, edge_text_size = 12, color = "black", ranksep = .2, minlen = 3){
require(glue)
require(DiagrammeR)
data$height <- height # node height
data$width <- width # node width
data$color <- color # node + edge border color
data$ranksep <- ranksep # separation btwn mediator row and x->y row
data$minlen <- minlen # minimum edge length
data$node_text_size <- node_text_size
data$edge_text_size <- edge_text_size
data$graph_label <- ifelse(is.na(graph_label), "", paste0("label = '", graph_label, "'"))
diagram_out <- glue::glue_data(data,
"digraph flowchart {
fontname = Helvetica
<<graph_label>>
graph [ranksep = <<ranksep>>]
# node definitions with substituted label text
node [fontname = Helvetica, shape = rectangle, fixedsize = TRUE, width = <<width>>, height = <<height>>, fontsize = <<node_text_size>>, color = <<color>>]
mm [label = '<<lab_m>>']
xx [label = '<<lab_x>>']
yy [label = '<<lab_y>>']
# edge definitions with the node IDs
edge [minlen = <<minlen>>, fontname = Helvetica, fontsize = <<edge_text_size>>, color = <<color>>]
mm -> yy [label = '<<coef_my>>'];
xx -> mm [label = '<<coef_xm>>'];
xx -> yy [label = '<<coef_xy>>'];
{ rank = same; mm }
{ rank = same; xx; yy }
}
", .open = "<<", .close = ">>")
DiagrammeR::grViz(diagram_out)
}
med_diagram(med_data)
TikZ和PGF需要作为LaTeX包加载到序言中。下面的示例代码包括这些软件包和一些其他命令,例如,为图中使用的“ mynode”设置了全局规范。我收到警告,要在自己的序言中加入\pgfplotsset{compat=1.17}
,但对于其他人则没有必要。请注意,此代码基于此处提供的示例:https://tex.stackexchange.com/a/225940/34597
---
title: "Sample Rmd"
author: "Your name here"
output: pdf_document
header-includes:
- \usepackage{tikz}
- \usepackage{pgfplots}
- \pgfplotsset{compat=1.17}
- \tikzset{mynode/.style={draw,text width=1in,align=center} }
- \usetikzlibrary{positioning}
---
```{r, load_packages, include = FALSE}
library(glue)
```
```{r, load_function}
med_diagram_tikz <- function(data) {
glue::glue_data(med_data,
"
\\begin{figure}
\\begin{center}
\\begin{tikzpicture}[font=\\sffamily]
\\node[mynode] (m){<<lab_m>>};
\\node[mynode,below left=of m](x) {<<lab_x>>};
\\node[mynode,below right=of m](y) {<<lab_y>>};
\\draw[-latex] (x.north) -- node[auto] {<<coef_xm>>} (m.west);
\\draw[-latex] (m.east) -- node[auto] {<<coef_my>>} (y.north);
\\draw[-latex] (x.east) --
node[below=2mm, align=center] {<<coef_xy>>} (y.west);
\\end{tikzpicture}
\\end{center}
\\end{figure}
",
.open = "<<", .close = ">>"
)
}
```
```{r create_diagram, echo = FALSE, results = 'asis'}
med_data <-
data.frame(
lab_x = "Math\\\\Ability",
lab_m = "Math\\\\self-efficacy",
lab_y = "Interest in the\\\\math major",
coef_xm = ".47*",
coef_my = ".36*",
coef_xy = "0.33* (.16)"
)
tikz_diagram_out <- med_diagram_tikz(med_data)
# requires chunk header to be set to results = 'asis'
cat("\n", tikz_diagram_out, "\n")
```
此中介图的第三个版本使用R
用户更容易理解的语法,但我不喜欢边缘标签文本的位置奇怪(因此,上面有两个替代版本)。
library(DiagrammeR)
# Create a node data frame (ndf)
ndf <- create_node_df(
n = 3,
label = c( "Math\nself-efficacy","Math\nability", "Interest in\nthe math major"),
shape = rep("rectangle", 3),
style = "empty",
fontsize = 6,
fixedsize = TRUE,
height = .5,
width = .75,
color = "gray80",
x = c(1, 2, 3),
y = c(1, 2, 1)
)
# Create an edge data frame (edf)
edf <- create_edge_df(
from = c(1, 1, 2),
to = c(2, 3, 3),
label = c(".47*", ".33* (.16)", ".36*"),
fontsize = 6,
minlen = 1,
color = "gray80",
)
# Create a graph with the ndf and edf
graph <- create_graph(
nodes_df = ndf,
edges_df = edf
)
graph %>%
render_graph()