点击排名优化_五一网站个人空间_做网络推广怎么收费_谷歌seo关键词排名优化

时间:2025/7/10 6:00:47来源：https://blog.csdn.net/H20230717/article/details/145828299 浏览次数:0次

文章目录

- 介绍
- 安装
- Usage
- 文档
- 参考

介绍

tidyplots----取代ggplot2的科研绘图利器。tidyplots的目标是简化为科学论文准备出版的情节的创建。它允许使用一致和直观的语法逐渐添加，删除和调整情节组件。

在这里插入图片描述

安装

You can install the released version of tidyplots from CRAN with:

install.packages("tidyplots")

And the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("jbengler/tidyplots")

Usage

Here are some examples. Also have a look at the getting started guide and the full documentation.

library(tidyplots)study |> tidyplot(x = treatment, y = score, color = treatment) |> add_mean_bar(alpha = 0.4) |> add_sem_errorbar() |> add_data_points_beeswarm()

在这里插入图片描述

energy |> tidyplot(x = year, y = energy, color = energy_source) |> add_barstack_absolute()

在这里插入图片描述

energy |> dplyr::filter(year %in% c(2005, 2010, 2015, 2020)) |> tidyplot(y = energy, color = energy_source) |> add_donut() |> split_plot(by = year)

在这里插入图片描述

energy_week |> tidyplot(x = date, y = power, color = energy_source) |> add_areastack_absolute()

在这里插入图片描述

energy_week |> tidyplot(x = date, y = power, color = energy_source) |> add_areastack_relative()

在这里插入图片描述

study |> tidyplot(x = group, y = score, color = dose) |> add_mean_bar(alpha = 0.4) |> add_mean_dash() |> add_mean_value()

在这里插入图片描述

time_course |>tidyplot(x = day, y = score, color = treatment) |>add_mean_line() |>add_mean_dot() |>add_sem_ribbon()

在这里插入图片描述

climate |>tidyplot(x = month, y = year, color = max_temperature) |>add_heatmap()

在这里插入图片描述

study |> tidyplot(x = treatment, y = score, color = treatment) |> add_boxplot() |> add_test_pvalue(ref.group = 1)

在这里插入图片描述

gene_expression |> dplyr::filter(external_gene_name %in% c("Apol6", "Col5a3", "Vgf", "Bsn")) |> tidyplot(x = condition, y = expression, color = sample_type) |> add_mean_dash() |> add_sem_errorbar() |> add_data_points_beeswarm() |> add_test_asterisks(hide_info = TRUE) |> remove_x_axis_title() |> split_plot(by = external_gene_name)

在这里插入图片描述

study |> tidyplot(x = treatment, y = score, color = treatment) |> add_mean_bar(alpha = 0.4) |> add_sem_errorbar() |> add_data_points_beeswarm() |> view_plot(title = "Default color scheme: 'friendly'") |> adjust_colors(colors_discrete_apple) |> view_plot(title = "Alternative color scheme: 'apple'")