随笔分类 -  R

heatmap
摘要:heatmap 热图是一种有效的数据可视化方法,一般借助矩阵数据间相关性作图。exampleData quantile(evar,0.75),]install.packages("gplots")library(gplots)heatmap.2(mostVariable,trace="none",col=greenred(10))heatmap.2(mostVariable,trace="none",col=greenred(10),ColSideColors=bluered(5))ord <- order(rowSums(ab 阅读全文
posted @ 2013-12-19 14:42 Buttonwood 阅读(630) 评论(0) 推荐(0)
Ch16 Advanced graphics (一 ggplot)
摘要:16.3 The ggplot2 packagehttp://had.co.nz/ggplot2The ggplot2 package implements a system for creating graphics in R based on a comprehensive and coherent grammar. This provides a consistency to graph creation often lacking in R, and allows the user to create graph types that are innovative and novel. 阅读全文
posted @ 2012-07-17 20:16 Buttonwood 阅读(1) 评论(0) 推荐(0)
Ch16 Advanced graphics (一 lattice)
摘要:Ch16 Advanced graphicsThe grid graphics system provides low-level access to graphic primitives, giving programmers a great deal of flexibility in the creation of graphic output. The lattice package provides an intuitive approach for examining multivariate relationships through conditional 1-, 2-, o. 阅读全文
posted @ 2012-07-17 17:39 Buttonwood 阅读(5) 评论(0) 推荐(0)
Ch12 Resampling statistics and bootstrapping
摘要:Ch12 Resampling statistics and bootstrappingPermutation testsPermutation tests, also called randomization or re-randomization tests.Ten subjects have been randomlyassigned to one of two treatment conditions(A or B) and an outcome variable (score) has been recorded.Is there enough evidence to conclud 阅读全文
posted @ 2012-07-17 15:32 Buttonwood 阅读(697) 评论(0) 推荐(0)
Creating publication-quality output
摘要:Creating publication-quality outputThe Sweave package allows you to embed R code and output in LaTeX documents, in order to produce high-end typeset reports in PDF, PostScript, and DVI formats. Sweave is an elegant, precise, and highly flexible system,but it requires the author to be conversant with 阅读全文
posted @ 2012-07-16 21:02 Buttonwood 阅读(461) 评论(0) 推荐(0)
Working with large datasets
摘要:Working with large datasetsThere are three issues to consider when working with large datasets:(a) efficient programming to speed execution, (b) storing data externally to limit memory issues,(c) using specialized statistical routines designed to efficiently analyze massive amounts of data.Efficient 阅读全文
posted @ 2012-07-16 17:40 Buttonwood 阅读(282) 评论(0) 推荐(0)
Updating an R installation
摘要:Updating an R installationupdate.packages() function can be used to download and install the most recent version of a contributed package.http://cran.r-project.org/binThe installed.packages() function is used to save a list of packages to a location outside of the R director y tree, and then the lis 阅读全文
posted @ 2012-07-16 17:30 Buttonwood 阅读(200) 评论(0) 推荐(0)