ggplot2, by Hadley Wickham, is an excellent and flexible package for elegant data visualization in R. However the default generated plots requires some formatting before we can send them for ...

Back in May of this year, I set myself a challenge: I wanted to try as many applications and libraries and programming languages in the field of data visualization as possible. To compare these tools ...

森林图是以统计指标和统计分析方法为基础，用数值运算结果绘制出的图型。它在平面直角坐标系中，以一条垂直的无效线 (横坐标刻度为1或0)为中心，用平行于横轴的多条线描述每个被纳入研究的效应量和可信区间，用一个棱形 (或其它图形)描述多个研究合并 ...

In the R programming language, the de facto standard framework for drawing rectangular coordinates is ggplot2. The most important feature of ggplot2 is that it is object-oriented and uses the plus ...

We collected data on cereal rye cover crop performance metrics (biomass, N content, and C:N ratio), additional agronomic and soil data, and metadata such as any associated publications (Table 1). The ...

Kaplan–Meier (KM) survival analyses based on complex patient categorization due to the burgeoning volumes of genomic, molecular and phenotypic data, are an increasingly important aspect of the ...

今天我们会介绍一下10个适用于多个学科的Python数据可视化库，其中有名气很大的也有鲜为人知的。 matplotlib 是Python可视化程序库的泰斗。经过十几年它任然是Python使用者最常用的画图库。它的设计和在1980年代被设计的商业化程序语言MATLAB非常接近。 由于 ...

Abstract: Rapidly creating effective visualizations using expressive grammars is challenging for users who have limited time and limited skills in statistics and data visualization. Even high-level, ...

For everything from styling text and customizing color palettes to creating your own geoms, these ggplot2 add-ons deserve a place in your R data visualization toolkit. Plus, a bonus list of packages ...

关于基因功能富集分析的教程之前其实介绍过很多，比较简单的方法是直接使用在线工具（如OmicShare tools）去完成。如果是使用R语言，我觉得对初学者来说比较“凌乱”的是相关注释包的下载安装。 闲言少叙，下面就以具体的例子看下，如何安装基因功能富集 ...

tidybayes is an R package that aims to make it easy to integrate popular Bayesian modeling methods into a tidy data + ggplot workflow. It builds on top of (and re-exports) several functions for ...