tg: tg "to grob" helper function
R: tg "to grob" helper function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
R: tg "to grob" helper function
const macros = { "\\R": "\\textsf{R}", "\\code": "\\texttt"};
function
Package: econDV
Type: Package
Title: 國立臺北大學資料視覺化課程套件
R: 好友关系网络的可视化
f_renren_snsR Documentation
好友关系网络的可视化
warning=FALSE}
library(TSA)
library(ggplot2)
R: Search Google
googleR Documentation
Search Google
R: Search google
googleR Documentation
Search google
R: Google Suite
googleR Documentation
Google Suite
R: Search Google
googleR Documentation
Search Google
R: Search Google
googleR Documentation
Search Google
R: Google Suite
googleR Documentation
Google Suite
R: Run Google Search
googleR Documentation
Run Google Search
R: Google data set
googleR Documentation
Google data set
R: Google data set
googleR Documentation
Google data set
R: Direct Google-search
googleR Documentation
Direct Google-search
Package: TGS
Version: 1.0.1
Title: Rapid Reconstruction of Time-Varying Gene Regulatory Networks
R: Google data set
googleR Documentation
Google data set
R: Google data set
googleR Documentation
Google data set
R: Google data set
googleR Documentation
Google data set
R: Daily returns of the google stock
googleR Documentation
Daily returns of the google stock
LOESS数据,发现不行,因为和LOESS几乎重合,没有区别;后面使用原换算当量的交通流量。总误差平方和为47171.85。使用指数平滑法预测下一个5min,得到总误差平方和为47189.7,和ARIMA模型差距不大,但指数平滑的计算量更低,参数
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.