作者seablack (Water)
看板NCTU-STAT95G
標題Re: [討論] 程式碼
時間Sat Jan 13 22:28:27 2007
Add some useful packages (functions) in R to all.
Name Illustrations
1. boost : Boosting Methods for Real and Simulated Data
2. classifly : Explore classification models in high dimensions
3. concord : Concordance and reliability
4. dyn : Time Series Regression
5. EMV : Estimation of Missing Values for a Data Matrix
6. FactoMineR: Factor Analysis and Data Mining with R
7. fda : Functional Data Analysis
8. gclus : Clustering Graphics
9. ump : Uniformly Most Powerful Tests
10. TwoWaySurvival : Additiv Two-Way Hazards Modelling of
Right Censored Survival Data
Reference from
http://cran.csie.ntu.edu.tw/src/contrib/PACKAGES.html
: In R :
: 1. Function for reading binary data:
: e.g.,
: zz = file("D:/Test01.raw", "rb") # Readin binary data
: N = 2064384/2; # Numbers of data
: nb = 128; # image size = nb x nb
: k = 40; # 40th
: Img = readBin(zz, "integer", n=N,size=2) # using 2 bytes integer read data
: ZZ = matrix(Img[(1+(k-1)*nb*nb):((k)*nb*nb)],nb,nb); # assign 40th image to ZZ
: Co = rgb(0:255, 0:255, 0:255, max = 255); #Create gray map
: image(1:nb, 1:nb,ZZ,col = Co) # display 40th image
: 2. Function for data mining package:
: RWeka : Collected many mining tools like those in http://www.cs.waikato.ac.nz/ml/weka/.
: http://cran.cs.pu.edu.tw/src/contrib/Descriptions/RWeka.html
: 3. Function for Parallel Virtual Machine (PVM):
: rpvm : http://cran.cs.pu.edu.tw/src/contrib/Descriptions/rpvm.html
: ※ 引述《mangogogo (mangogo)》之銘言:
: : 我之前就一直有一個想法就是
: : 大家可以一起分享使用過不錯的code
: : 降大家也不用再大費周章花同樣的時間找
: : 所以版主置個底吧
: : 大家要分享就推文
: : 有需要再來推文找找看
: : 說不定就有自己要的
: : 當然這需要大家的共享~~
: : ps.
: : R code package 可以去http://www.r-project.org/的Search 中有一個google bar
: : 打你要的關鍵字 即可得到介紹code的pdf
: : 如果是你要的 去使用R下載 並安裝即可
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推 josephw:呵呵~ 01/13 22:41
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