quantile_plot {TOmicsVis} | R Documentation |
Quantile plot for visualizing data distribution.
Description
Quantile plot for visualizing data distribution.
Usage
quantile_plot(
data,
my_shape = "fill_circle",
point_size = 1.5,
conf_int = TRUE,
conf_level = 0.95,
split_panel = "Split_Panel",
legend_pos = "right",
legend_dir = "vertical",
sci_fill_color = "Sci_NPG",
sci_color_alpha = 0.75,
ggTheme = "theme_light"
)
Arguments
data |
Dataframe: Weight and Sex traits dataframe (1st-col: Weight, 2nd-col: Sex). |
my_shape |
Character: scatter shape. Default: "fill_circle", options: "border_square", "border_circle", "border_triangle", "plus", "times", "border_diamond", "border_triangle_down", "square_times", "plus_times", "diamond_plus", "circle_plus", "di_triangle", "square_plus", "circle_times","square_triangle", "fill_square", "fill_circle", "fill_triangle", "fill_diamond", "large_circle", "small_circle", "fill_border_circle", "fill_border_square", "fill_border_diamond", "fill_border_triangle". |
point_size |
Numeric: point size. Default: 1.5, min: 0.0, max: not required. |
conf_int |
Logical: confidence interval (CI). Default: TRUE, options: TRUE or FALSE. |
conf_level |
Numeric: confidence interval value. Default: 0.95, min: 0.00, max: 1.00. |
split_panel |
Character: split panel by groups. Default: "Split_Panel", options: "One_Panel", "Split_Panel". |
legend_pos |
Character: legend position. Default: "right", options: "none", "left", "right", "bottom", "top". |
legend_dir |
Character: legend direction. Default: "vertical", options: "horizontal", "vertical". |
sci_fill_color |
Character: ggsci fill or color palette. Default: "Sci_NPG", options: "Sci_AAAS", "Sci_NPG", "Sci_Simpsons", "Sci_JAMA", "Sci_GSEA", "Sci_Lancet", "Sci_Futurama", "Sci_JCO", "Sci_NEJM", "Sci_IGV", "Sci_UCSC", "Sci_D3", "Sci_Material". |
sci_color_alpha |
Numeric: ggsci border color alpha. Default: 0.75, min: 0.00, max: 1.00. |
ggTheme |
Character: ggplot2 themes. Default: "theme_light", options: "theme_default", "theme_bw", "theme_gray", "theme_light", "theme_linedraw", "theme_dark", "theme_minimal", "theme_classic", "theme_void". |
Value
Plot: quantile plot for visualizing data distribution.
Author(s)
benben-miao
Examples
# 1. Library TOmicsVis package
library(TOmicsVis)
# 2. Use example dataset
data(weight_sex)
head(weight_sex)
# 3. Default parameters
quantile_plot(weight_sex)
# 4. Set split_panel = "Split_Panel"
quantile_plot(weight_sex, split_panel = "Split_Panel")
# 5. Set sci_fill_color = "Sci_Futurama"
quantile_plot(weight_sex, sci_fill_color = "Sci_Futurama")
# 6. Set conf_int = FALSE
quantile_plot(weight_sex, conf_int = FALSE)