add_trace: Add trace(s) to a plotly visualization

In gvarunkumar/plotly: Create Interactive Web Graphics via 'plotly.js'

Description

Add trace(s) to a plotly visualization

Usage

add_trace(p, ..., color, symbol, size, linetype, data = NULL)

add_markers(p, x = NULL, y = NULL, z = NULL, ...)

add_text(p, x = NULL, y = NULL, z = NULL, text = NULL, ...)

add_paths(p, x = NULL, y = NULL, z = NULL, ...)

add_lines(p, x = NULL, y = NULL, z = NULL, ...)

add_segments(p, x = NULL, y = NULL, xend = NULL, yend = NULL, ...)

add_polygons(p, x = NULL, y = NULL, ...)

add_ribbons(p, x = NULL, ymin = NULL, ymax = NULL, ...)

add_area(p, x = NULL, ymax = NULL, ...)

add_bars(p, x = NULL, y = NULL, ...)

add_histogram(p, x = NULL, y = NULL, ...)

add_histogram2d(p, x = NULL, y = NULL, z = NULL, ...)

add_histogram2dcontour(p, x = NULL, y = NULL, z = NULL, ...)

add_heatmap(p, z = NULL, ...)

add_contour(p, z = NULL, ...)

add_boxplot(p, x = NULL, y = NULL, ...)

add_surface(p, z = NULL, ...)

add_scattergeo(p, geo = "geo", ...)

add_choropleth(p, z = NULL, ...)

Arguments

p	a plotly or ggplot object.
...	These arguments are documented in the references section below. Note that acceptable arguments depend on the trace type.
color	Either a variable name or a vector to use for color mapping.
symbol	Either a variable name or a (discrete) vector to use for symbol encoding.
size	A variable name or numeric vector to encode the size of markers.
linetype	Either a variable name or a (discrete) vector to use for linetype encoding.
data	A data frame to associate with this trace (optional). If not provided, arguments are evaluated using the data frame in plot_ly().
x	the x variable.
y	the y variable.
text	textual labels.
ymin	a variable used to define the lower boundary of a polygon.
ymax	a variable used to define the upper boundary of a polygon.
alpha	alpha channel applied to color (on 0-1 scale).

Author(s)

Carson Sievert

References

https://plot.ly/r/reference/

See Also

plot_ly()

Examples

p <- plot_ly(economics, x = ~date, y = ~uempmed)
p
p %>% add_markers()
p %>% add_lines()
p %>% add_text(text = ".")

# attributes declared in plot_ly() carry over to downstream traces
plot_ly(economics, x = ~date, y = ~uempmed) %>% 
  add_lines(line = list(color = "red")) %>%
  add_markers(color = ~pop) %>%
  layout(showlegend = FALSE)

txhousing %>% 
  group_by(city) %>% 
  plot_ly(x = ~date, y = ~median) %>%
  add_lines(fill = "black")

ggplot2::map_data("world", "canada") %>%
  group_by(group) %>%
  plot_ly(x = ~long, y = ~lat) %>%
  add_polygons(hoverinfo = "none") %>%
  add_markers(text = ~paste(name, "<br />", pop), hoverinfo = "text",
    data = maps::canada.cities) %>%
  layout(showlegend = FALSE)

plot_ly(economics, x = ~date) %>% 
  add_ribbons(ymin = ~pce - 1e3, ymax = ~pce + 1e3)
huron <- data.frame(year = 1875:1972, level = as.vector(LakeHuron))
plot_ly(huron, x = ~year, ymax = ~level) %>% add_area()
library(dplyr)
mtcars %>%
  count(vs) %>%
  plot_ly(x = ~vs, y = ~n) %>%
  add_bars()

plot_ly(x = ~rnorm(100)) %>% add_histogram()
plot_ly(x = ~LETTERS, y = ~LETTERS) %>% add_histogram2d()
z <- as.matrix(table(LETTERS, LETTERS))
plot_ly(x = ~LETTERS, y = ~LETTERS, z = ~z) %>% add_histogram2d()
plot_ly(MASS::geyser, x = ~waiting, y = ~duration) %>% 
add_histogram2dcontour()
plot_ly(z = ~volcano) %>% add_heatmap()
plot_ly(z = ~volcano) %>% add_contour()
plot_ly(mtcars, x = ~factor(vs), y = ~mpg) %>% add_boxplot()
plot_ly(z = ~volcano) %>% add_surface()
plot_ly() %>% add_scattergeo()
density <- state.x77[, "Population"] / state.x77[, "Area"]
plot_ly(z = ~density) %>% 
  add_choropleth(locations = state.abb, locationmode = 'USA-states') %>%
  layout(geo = list(scope = "usa"))

gvarunkumar/plotly documentation built on May 17, 2019, 9:29 a.m.