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library(ggvis)
library(dplyr) # For arrange function
set.seed(1780)
df <- data.frame(x = runif(12), y = runif(12), z = gl(3, 4))
df %>% ggvis(x = ~x, y = ~y) %>% layer_paths()
# Grouping, manually specified
df %>% group_by(z) %>%
ggvis(x = ~x, y = ~y, stroke = ~z, fill := NA) %>%
layer_paths() %>%
layer_points()
# Grouping can happen after ggvis() call
df %>%
ggvis(x = ~x, y = ~y, stroke = ~z, fill := NA) %>%
group_by(z) %>%
layer_paths() %>%
layer_points()
# Data sorted by x
df %>% ggvis(x = ~x, y = ~y) %>%
arrange(x) %>%
layer_paths() %>%
layer_points()
# layer_lines sorts and adds a mark_path
df %>% ggvis(x = ~x, y = ~y) %>%
layer_lines() %>%
layer_points()
# Data sorted by y
df %>% ggvis(x = ~x, y = ~y) %>%
arrange(y) %>%
layer_paths() %>%
layer_points()
# Grouping with auto_group, and sorted
df %>% ggvis(x = ~x, y = ~y, stroke = ~z, fill := NA) %>%
auto_group() %>%
arrange(x) %>%
layer_paths() %>%
layer_points()
# Using layer_lines, which sorts the data
df %>% ggvis(x = ~x, y = ~y, stroke = ~z, fill := NA) %>%
layer_lines() %>%
layer_points()
# Dashed lines
dat <- data.frame(x = rep(c(0, 1), 6), g = gl(6, 2))
dat %>% group_by(g) %>%
ggvis(x = ~x, y = ~g) %>%
layer_paths(strokeDash = ~g) %>%
add_axis("y", grid = FALSE) %>%
add_axis("x", grid = FALSE, title = "", tick_size_major = 0, ticks = 0)
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