| Title: | Create Streamplots in 'ggplot2' |
| Version: | 0.1.0 |
| Description: | Make smoothed stacked area charts in 'ggplot2'. Stream plots are useful to show magnitude trends over time. |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| Depends: | R (≥ 3.6.0) |
| Imports: | ggplot2, purrr, dplyr, stats, magrittr, tidyr, forcats |
| RoxygenNote: | 7.1.1 |
| Suggests: | testthat (≥ 2.1.0) |
| NeedsCompilation: | no |
| Packaged: | 2021-05-04 17:27:21 UTC; davidsjoberg |
| Author: | David Sjoberg [aut, cre] |
| Maintainer: | David Sjoberg <dav.sjob@gmail.com> |
| Repository: | CRAN |
| Date/Publication: | 2021-05-06 07:50:03 UTC |
Pipe operator
Description
See magrittr::%>% for details.
Usage
lhs %>% rhs
Value
result of right hand side of pipe
Worldwide Blockbusters 2019-1977
Description
The Worldwide Blockbusters 2019-1977 dataset provides information on the top ten highest grossing films worldwide between the years 2019 and 1977.
Usage
blockbusters
Format
A data frame with 430 rows and 4 variables:
- year
release year of blockbuster
- genre
genre of blockbuster title
- box_office
Sum of box office per genre and year, billion real dollars
Source
https://www.kaggle.com/narmelan/top-ten-blockbusters-20191977
geom_stream geom to create stream plots
Description
geom_stream
geom to create stream plots
Usage
geom_stream(
mapping = NULL,
data = NULL,
geom = "polygon",
position = "identity",
show.legend = NA,
inherit.aes = TRUE,
na.rm = TRUE,
bw = 0.75,
extra_span = 0.01,
n_grid = 1000,
method = c("new_wiggle"),
center_fun = NULL,
type = c("mirror", "ridge", "proportional"),
true_range = c("both", "min_x", "max_x", "none"),
sorting = c("none", "onset", "inside_out"),
...
)
Arguments
mapping |
provide you own mapping. both x and y need to be numeric. |
data |
provide you own data |
geom |
change geom |
position |
change position |
show.legend |
show legend in plot |
inherit.aes |
should the geom inherits aesthetics |
na.rm |
remove missing values |
bw |
bandwidth of kernel density estimation |
extra_span |
How many extra range should be used in estimation? Percent of x range added to min and max. |
n_grid |
number of x points that should be calculated. The higher the more smooth plot. |
method |
Only 'new wiggle' is implemented so far. |
center_fun |
a function that returns the y center for each possible x in range of x. |
type |
one of 'mirror' which stacks symmetrically around the x axis, or 'ridge' which stacks from the x-axis, or 'proportional' |
true_range |
should the true data range be used or the estimation range? |
sorting |
Should the groups be sorted. Either the default 'none', 'onset' or 'inside_out' |
... |
other arguments to be passed to the geom |
Value
a 'ggplot' layer
Examples
library(ggplot2)
set.seed(123)
df <- data.frame(x = rep(1:10, 3),
y = rpois(30, 2),
group = sort(rep(c("A", "B", "C"), 10)))
ggplot(df, aes(x, y, fill = group, label = group)) +
geom_stream()
geom_stream_label geom to create labels to a geom_stream plot
Description
geom_stream_label
geom to create labels to a geom_stream plot
Usage
geom_stream_label(
mapping = NULL,
data = NULL,
geom = "text",
position = "identity",
show.legend = NA,
inherit.aes = TRUE,
na.rm = TRUE,
bw = 0.75,
extra_span = 0.01,
n_grid = 100,
method = c("new_wiggle"),
center_fun = NULL,
type = c("mirror", "ridge", "proportional"),
true_range = c("both", "min_x", "max_x", "none"),
sorting = c("none", "onset", "inside_out"),
...
)
Arguments
mapping |
provide you own mapping. both x and y need to be numeric. |
data |
provide you own data |
geom |
change geom |
position |
change position |
show.legend |
show legend in plot |
inherit.aes |
should the geom inherits aesthetics |
na.rm |
remove missing values |
bw |
bandwidth of kernel density estimation |
extra_span |
How many extra range should be used in estimation? Percent of x range added to min and max. |
n_grid |
number of x points that should be calculated. The higher the more smooth plot. |
method |
Only 'new wiggle' is implemented so far. |
center_fun |
a function that returns the y center for each possible x in range of x. |
type |
one of 'mirror' which stacks symmetrically around the x axis, or 'ridge' which stacks from the x-axis, or 'proportional'. |
true_range |
should the true data range be used or the estimation range? |
sorting |
Should the groups be sorted. Either the default 'none', 'onset' or 'inside_out' |
... |
other arguments to be passed to the geom |
Value
a 'ggplot' layer
Examples
library(ggplot2)
set.seed(123)
df <- data.frame(x = rep(1:10, 3),
y = rpois(30, 2),
group = sort(rep(c("A", "B", "C"), 10)))
ggplot(df, aes(x, y, fill = group, label = group)) +
geom_stream() +
geom_stream_label(n_grid = 100)