Plotting means and error bars (ggplot2)】的更多相关文章

library(ggplot2) ############################################# # summarySE ############################################# ## Summarizes data. ## Gives count, mean, standard deviation, standard error of the mean, and confidence interval (default 95%).…
一,布局 R绘图所占的区域,被分成两大部分,一是外围边距,一是绘图区域. 外围边距可使用par()函数中的oma来进行设置.比如oma=c(4,3,2,1),就是指外围边距分别为下边距:4行,左边距3行,上边距2行,右边距1行.很明显这个设置顺序是从x轴开始顺时针方向.这里的行是指可以显示1行普通字体.所以当我们使用mtext中的line参数时,设置的大小就应该是[0,行数)的开区间.当我们使用mtext在外围边距上书写内容时,设置mtext中的outer=TRUE即可. 绘图区域可使用par(…
A Quick Overview of the ggplot2 Package in R While it will be important to focus on theory, I want to explain the ggplot2 package because I will be using it throughout the rest of this series. Knowing how it works will keep the focus on the results r…
Getting started with machine learning in Python Machine learning is a field that uses algorithms to learn from data and make predictions. Practically, this means that we can feed data into an algorithm, and use it to make predictions about what might…
reference:http://www.egrappler.com/javascript-chart-and-graph-libraries-for-developers/ BY TEAMEGRAPPLER · MARCH 4, 2014   Graphs and charts are used to simplify complex data and make it easy to read and understand. There is a growing number of Open…
This section describes some best practices for analysis. These practices come from experience of analysts in the Data Mining Team. We list a few things you should do (or at least consider doing) and some pitfalls to avoid. We provide a list of issues…
原理 比较两组就用t-test,比较三组及以上就用ANOVA.注意:我们默认说的都是one way ANOVA,也就是对group的分类标准只有一个,比如case和control(ABCD多组),two way就是分类标准有多个,比如case or control,male or femal. 方差分析的核心原理: Null hypothesis,any组之间的mean都没有差异: 统计检验,F分布: R实例 One-Way ANOVA Test in R my_data <- PlantGro…
本文更新地址:http://blog.csdn.net/tanzuozhev/article/details/51112057 本文在 http://www.cookbook-r.com/Graphs/Scatterplots_(ggplot2)/ 的基础上加入了自己的理解 对于连续型数据轴和离散型数据轴 # Some sample data dat <- read.table(header=TRUE, text=' cond result control 10 treatment 11.5 '…
About this Course This course will teach you the "magic" of getting deep learning to work well. Rather than the deep learning process being a black box, you will understand what drives performance, and be able to more systematically get good res…
1.  JS Charts Features Prepare your chart data in XML, JSON or JavaScript Array Create charts in different templates like bar charts, pie charts or simple line graphs You don't need any server-side plugins/modules It's compatible with most web browse…