View source: R/visualization.R
| plot_bar | R Documentation |
Create a bar plot using the aelab theme.
plot_bar(
df,
x,
y,
z = NULL,
base_size = 25,
line_width = 1,
text_color = "black",
facet = FALSE,
facet_x = NULL,
facet_y = NULL,
style = "bw",
position = "dodge",
stat = "identity"
)
df |
A data frame. |
x |
<['data-masking'][ggplot2::aes]> Column mapped to the x-axis. |
y |
<['data-masking'][ggplot2::aes]> Column mapped to the y-axis. |
z |
<['data-masking'][ggplot2::aes]> Optional column mapped to fill colour. |
base_size |
Base font size. Default 25. |
line_width |
Bar outline width. Default 1. |
text_color |
Text colour. Default |
facet |
Logical; add facet grid? Default |
facet_x |
Column name (string) for the horizontal facet dimension. |
facet_y |
Column name (string) for the vertical facet dimension. |
style |
Theme style. Default |
position |
Bar position: |
stat |
Stat type: |
A ggplot object.
## Not run:
df <- data.frame(x = c("A","B","A","B"), g = c("X","X","Y","Y"), y = c(1,2,3,4))
plot_bar(df, x, y, g)
## End(Not run)
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