我发现了一篇关于lavaan
使用DiagrammeR
. 但是,DiagrammeR
这篇文章中使用的版本是版本0.6
,我在尝试重现版本代码时遇到了一些麻烦0.8
(http://rich-iannone.github.io/DiagrammeR/docs.html)。
通过一些非常小的更改,代码如下所示
首先安装一个 SEMlavaan
library("stringr")
library("lavaan")
library("DiagrammeR")
library("dplyr")
library("semPlot")
model <- '
# latent variables
ind60 =~ x1 + x2 + x3
dem60 =~ y1 + y2 + y3 + y4
dem65 =~ y5 + y6 + y7 + y8
# regressions
dem60 ~ ind60
dem65 ~ ind60 + dem60
# residual covariances
y1 ~~ y5
y2 ~~ y4 + y6
y3 ~~ y7
y4 ~~ y8
y6 ~~ y8
'
fit <- growth(model, data = PoliticalDemocracy)
semPaths(fit, intercept = FALSE, whatLabel = "est",
residuals = FALSE, exoCov = FALSE)
现在这是帖子中提出的代码
paths <- fit %>%
parameterestimates %>%
select(lhs, op, rhs, est)
# Latent variables are left-hand side of "=~" lines
latent <- paths %>%
filter(op == "=~") %>%
select(nodes = lhs) %>%
distinct %>%
mutate(shape = "circle")
# Manifest variables are not latent variables
`%not_in%` <- Negate(`%in%`)
manifest <- paths %>%
filter(op != "~1", lhs %not_in% latent$nodes) %>%
select(nodes = lhs) %>%
distinct %>%
mutate(shape = "square")
# Nodes are prepared
node_set <- combine_ndfs(latent, manifest)
# Edges will be labeled by the parameter estimates
all_paths <- paths %>%
filter(op != "~1") %>%
mutate(label = round(est, 2)) %>%
select(-est)
# Factor loadings are the paths in the "=~" lines
loadings <- all_paths %>%
filter(op == "=~") %>%
mutate(edge_from = lhs, edge_to = rhs, style = "dashed") %>%
select(edge_from, edge_to, style, label)
regressions <- all_paths %>%
filter(op == "~") %>%
rename(edge_to = lhs, edge_from = rhs) %>%
mutate(style = "solid") %>%
select(edge_from, edge_to, style, label)
edge_set <- combine_edfs(loadings, regressions)
到目前为止,一切都很好。
错误在这里
# Combine edges and nodes
my_graph <- graphviz_graph(
nodes = node_set,
edges_df = edge_set,
graph_attrs = c("ranksep = 1"))
# We can plot the graph directly
graphviz_render(my_graph)
在 的文档中,DiagrammeR
据说“将函数重命名为graphviz_graph
和”。graphviz_render
create_graph
render_graph
但是,进行此更改不起作用
my_graph <- create_graph(
nodes = node_set,
edges_df = edge_set,
graph_attrs = c("ranksep = 1"))
知道为什么吗?
其他问题。在这篇文章中,这段代码似乎没有绘制残差协方差。知道如何用 绘制残差协方差吗DiagrammeR
?
谢谢