Nothing
layout <- get_layout("ne", "phys", "",
"plea", "", "",
"dist", "", "dep",
"saf", "", "",
"coh", "stress", "", rows = 5)
df_nodes <- tidySEM:::long_layout(layout)
df_nodes <- data.frame(node_id = 1:length(df_nodes$name), name = df_nodes$name, stringsAsFactors = FALSE)
df_nodes$shape <- "oval"
df_nodes$shape[grepl("(phys)", df_nodes$name)] <- "rect"
labels <- list("ne" = "Natural environment",
"plea" = "Pleasantness",
"dist" = "Disturbance",
"saf" = "Safety",
"coh" = "Cohesion",
"phys" = "Physical activity",
"stress" = "Stress",
"dep" ="Depression"
)
df_nodes$label <- unlist(labels[match(df_nodes$name, names(labels))])
df_edges <- data.frame(matrix(c(
1, 6, "last", "+",
2, 6, "last", "+",
3, 6, "last", "-",
4, 6, "last", "+",
5, 6, "last", "+",
1, 7, "last", "-",
2, 7, "last", "-",
3, 7, "last", "+",
4, 7, "last", "-",
5, 7, "last", "-",
6, 8, "last", "-",
7, 8, "last", "+",
6, 7, "none", "a",
1, 2, "none", "b",
1, 3, "none", "c"), ncol = 4, byrow = TRUE), stringsAsFactors = FALSE)
names(df_edges) <- c("from", "to", "arrow", "label")
df_edges$from <- df_nodes$name[as.numeric(df_edges$from)]
df_edges$to <- df_nodes$name[as.numeric(df_edges$to)]
df_edges$curvature <- c(rep(NA, 12), rep(60, 3))
#df_edges$label[grepl("^ri", df_edges$from)] <- "1"
prep <- prepare_graph(nodes = df_nodes, layout = layout, edges = df_edges, angle = 15, fix_coord = FALSE)
prep$edges[13, c("connect_from", "connect_to")] <- c("bottom", "top")
p <- plot(prep)
test_that("Plot works", {
expect_s3_class(p, "ggplot")
})
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