Assess d-separation between variables | R Documentation |
D-separation is a key concept in causal structural models. Variables are
d-separated if there are no open paths between them. The node_d*()
functions label variables as d-connected or d-separated. The
ggdag_d*()
functions plot the results. The *_dconnected()
,
*_dseparated()
, and *_drelationship()
functions essentially
produce the same output and are just different ways of thinking about the
relationship. See dagitty::dseparated()
for details.
node_dconnected(
.tdy_dag,
from = NULL,
to = NULL,
controlling_for = NULL,
as_factor = TRUE,
...
)
node_dseparated(
.tdy_dag,
from = NULL,
to = NULL,
controlling_for = NULL,
as_factor = TRUE
)
node_drelationship(
.tdy_dag,
from = NULL,
to = NULL,
controlling_for = NULL,
as_factor = TRUE
)
ggdag_drelationship(
.tdy_dag,
from = NULL,
to = NULL,
controlling_for = NULL,
...,
edge_type = "link_arc",
node_size = 16,
text_size = 3.88,
label_size = text_size,
text_col = "white",
label_col = text_col,
node = TRUE,
stylized = FALSE,
text = TRUE,
use_labels = NULL,
collider_lines = TRUE
)
ggdag_dseparated(
.tdy_dag,
from = NULL,
to = NULL,
controlling_for = NULL,
...,
edge_type = "link_arc",
node_size = 16,
text_size = 3.88,
label_size = text_size,
text_col = "white",
label_col = text_col,
node = TRUE,
stylized = FALSE,
text = TRUE,
use_labels = NULL,
collider_lines = TRUE
)
ggdag_dconnected(
.tdy_dag,
from = NULL,
to = NULL,
controlling_for = NULL,
...,
edge_type = "link_arc",
node_size = 16,
text_size = 3.88,
label_size = text_size,
text_col = "white",
label_col = text_col,
node = TRUE,
stylized = FALSE,
text = TRUE,
use_labels = NULL,
collider_lines = TRUE
)
.tdy_dag |
input graph, an object of class |
from |
a character vector, the starting variable (must by in DAG). If
|
to |
a character vector, the ending variable (must by in DAG). If
|
controlling_for |
a character vector, variables in the DAG to control for. |
as_factor |
logical. Should the |
... |
additional arguments passed to |
edge_type |
a character vector, the edge geom to use. One of: "link_arc", which accounts for directed and bidirected edges, "link", "arc", or "diagonal" |
node_size |
size of DAG node |
text_size |
size of DAG text |
label_size |
size of label text |
text_col |
color of DAG text |
label_col |
color of label text |
node |
logical. Should nodes be included in the DAG? |
stylized |
logical. Should DAG nodes be stylized? If so, use
|
text |
logical. Should text be included in the DAG? |
use_labels |
a string. Variable to use for |
collider_lines |
logical. Should the plot show paths activated by adjusting for a collider? |
a tidy_dagitty
with a d_relationship
column for
variable D relationship or a ggplot
library(ggplot2)
dag <- dagify(m ~ x + y)
dag %>% ggdag_drelationship("x", "y")
dag %>% ggdag_drelationship("x", "y", controlling_for = "m")
dag %>%
node_dseparated("x", "y") %>%
ggplot(aes(x = x, y = y, xend = xend, yend = yend, shape = adjusted, col = d_relationship)) +
geom_dag_edges() +
geom_dag_collider_edges() +
geom_dag_node() +
geom_dag_text(col = "white") +
theme_dag() +
scale_adjusted()
dag %>%
node_dconnected("x", "y", controlling_for = "m") %>%
ggplot(aes(x = x, y = y, xend = xend, yend = yend, shape = adjusted, col = d_relationship)) +
geom_dag_edges() +
geom_dag_collider_edges() +
geom_dag_node() +
geom_dag_text(col = "white") +
theme_dag() +
scale_adjusted()
dagify(m ~ x + y, m_jr ~ m) %>%
tidy_dagitty(layout = "nicely") %>%
node_dconnected("x", "y", controlling_for = "m_jr") %>%
ggplot(aes(x = x, y = y, xend = xend, yend = yend, shape = adjusted, col = d_relationship)) +
geom_dag_edges() +
geom_dag_collider_edges() +
geom_dag_node() +
geom_dag_text(col = "white") +
theme_dag() +
scale_adjusted()
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