library(ggplot2)library(grid)grid.newpage()pushViewport(viewport(layout = grid.layout(1,2)))vplayout = function(x, y) viewport(layout.pos.row = x, layout.pos.col = y)b<-matrix(1:2,ncol=2,byrow=T)for (i in 1:2){  r<-which(b==i,arr.ind=T)  read.table(…

Milan Ikits University of Utah Joe Kniss University of Utah Aaron Lefohn University of California, Davis Charles Hansen University of Utah This chapter presents texture-based volume rendering techniques that are used for visualizing three-dimensional…

Joanna Zhao’s and Jenny Bryan’s R graph catalog is meant to be a complement to the physical book,Creating More Effective Graphs, but it’s a really nice gallery in its own right. The catalog shows a series of different data visualizations, all made wi…

1.ggplot2发展历程 ggplot2是Hadley在爱荷华州立大学博士期间的作品,也是他博士论文的主题之一,实际上ggplot2还有个前身ggplot,但后来废弃了,某种程度上这也是Hadley写软件的特 征,熟悉他的人就知道这不是他第一个“2”版本的包了(还有reshape2).带2的包和原来的包在语法上会有很大的改动,基本上不兼容.尽管如此,他的R代码风格在R社区可谓独树一帜,尤其是他的代码结构很好,可读性很高,ggplot2是R代码抽象的一个杰作.读者若感兴趣,可以在GitHub网站…

https://www.threadingbuildingblocks.org/docs/help/index.htm Parallelizing Data Flow and Dependency Graphs In addition to loop parallelism, the Intel® Threading Building Blocks (Intel® TBB) library also supports graph parallelism. It's possible to cre…

library(ggplot2) ############################################# # summarySE ############################################# ## Summarizes data. ## Gives count, mean, standard deviation, standard error of the mean, and confidence interval (default 95%).…

Safari HTML5 Canvas Guide: Creating Charts and Graphs Bar graphs are similar to data plots, but each sample is graphed as a rectangle scaled to the height or width of the sample. The example in Listing 10-4 graphs data as vertical bars with a text la…

print(figure_handle,'formats','-rnumber','filename')  %将图形保存为png格式,分辨率为number的(默认为72),最好指定的分辨率大一点,否则保存图形的效果较差.   %Save the figure with the handle h to a PostScript file named Figure1, which can be printed later: h = figure;   %指定图片打印figure handle plo…

Calculus on Computational Graphs: Backpropagation Introduction Backpropagation is the key algorithm that makes training deep models computationally tractable. For modern neural networks, it can make training with gradient descent as much as ten milli…

一.用法解析 1.1. 分辨率-rnumber 1.2.  输出图片的“格式”formats 二.用法示例 2.1. 设置输出图片的“图像纵横比” 2.2. Batch Processing(图片保存“批处理”)filename 1.2. 输出图片的“格式”formats 一.用法解析 print(figure_handle,'formats','-rnumber','filename') %将图形保存为formats格式,分辨率为600的(默认为72),最好指定的分辨率大一点,否则保存图形的效…