教程NTsys主成分分析PCA过程_第1页
教程NTsys主成分分析PCA过程_第2页
教程NTsys主成分分析PCA过程_第3页
教程NTsys主成分分析PCA过程_第4页
教程NTsys主成分分析PCA过程_第5页
全文预览已结束

下载本文档

版权说明:本文档由用户提供并上传,收益归属内容提供方,若内容存在侵权,请进行举报或认领

文档简介

1、Using NTSYS-pc for Non-metric Multidimensional Scaling (NMDS) and Principal Coordinates Analysis of dominant data  Data preparation1) Open excel file “dominant edited” in the ECL290 folder, it should look like the clip below. You can either input files to NTSYS-pc using Excel or using the appli

2、cation NTedit.sample bear data excel     there are 66 rows and 20 columns   1 66 20 0       AFLPA1 AFLPA2 AFLPB1 AFLPB2 AFLPC1 pop1Ma1 1 1 1 0 0 pop1Ma2 1 0 1 0 0 pop1Ma3 1 1 1 0 0 pop1Ma4 1 1 1 0 0 pop1Ma5 1 1 0 0 0 pop1Ma6 1 1 1 0 0 pop1Ma7 1 1 1 0 0 pop1Ma8 1 1 1 1 0

3、               Your loci or OTUs can be either the columns or the rows, but keep track you have to tell the program later, which is which. In this case, the OTUs are rows. Also open excel file “dominant symbol.xls” (该文件和用于数据分析的.xls有些相同,文件头除了列的位置输入1外,因为只有一列数据,其他相同。下

4、面部分只有两列:最左边一列个体名称;第二列是数据,同一群体不同个体数据相同,主要是为了在最后形成的图上对个体做标记。如图A). This file specifies populations so when the results are plotted, individuals in different populations are given different symbols Principal Coordinates Analysis1a) Open Programs-NTSYS-pc21-Ntedit File-Open file in grid. Browse to G

5、:drive and change file type to Excel. ECL290-Data sets-original data-ORDINATION-dominant.xls This allows you to view the excel file in the NTS format and it can be saved as a .NTS files if you so choose. Close Ntedit.1b) Open Programs-NTSYS-pc21-NTSYSpc2a) Select Similarity left menu and choose Qual

6、itative Data 2b) Click Help menu in upper right corner of NTSYS window. Whatever module you are usingm if you click Help it will open up the relevant help section.3) Double click Input File box and browse to ECL290 folder-Ordination, change file type to excel. Select “dominant.xls”4) Select Rows if

7、your OTUs are rows (they are)(本例中标记是在行row,所以要选择。方框中有×表示选择).5) Choose J (J = Jaccards coefficient) for Coefficient6) Double click Output file and browse to your eponymous ECL290 folder. Name Output file “dominant jaccard”, save as type .NTS (from this point on save all files as type .NTS)7) Leav

8、e Positive (= 1.00000) and Negative (=0.00000) codes as default8) Click Compute in top menu bar  The Window you have open should look like the window on the next page.  Note: Another NTSYS window titled “Report listing” will now open up and will give you a list of operations you have run a

9、nd tell you where the resultant files are saved8) Select Output and Transf. from the left menu, then click Dcenter icon9) Browse to your ECL290 folder and Input matrix file “dominant jaccard” you will probably have to change the “files of type” to .NTS in order to see the Jaccard matrix you made and

10、 be able to select it.10) Browse to your ECL290 folder and name Result matrix “dominant jaccard dcenter”11a) Leave Square distances box checked11b) Click Compute  12) Select Ordination from the left menu and then choose the Eigen module13) Browse to your ECL290 file and select “dominant jaccard

11、 dcenter” for Input matrix file14) Browse to your ECL290 file and name Output eigenvector file “dominant jaccard dcenter vector”15) Browse to ECL290 file and name Output eigenvalue file “dominant edit jaccard dcenter value”16) Leave Number of dimensions as 4 and Sample Size and Degrees of Freedom as

12、 017) Check Show Details Box if you want to see the operations in the Report Listing box18) Click Compute  19) Select Graphics from the left menu and then choose Mod3D plot20) Browse to ECL290 “your name” folder and choose Input file named “dominant jaccard dcenter vector”21) Deselect Plot by rows(此处要取消掉row,点击去掉×)22) Browse to ECL290 Ordination file and choose for Plot symbol input file “dominant symbol” you will have to change file type to all or .xls to see this file!23) Leave Graph Matrix File blank24) Click Compute, you should get a plot

温馨提示

  • 1. 本站所有资源如无特殊说明,都需要本地电脑安装OFFICE2007和PDF阅读器。图纸软件为CAD,CAXA,PROE,UG,SolidWorks等.压缩文件请下载最新的WinRAR软件解压。
  • 2. 本站的文档不包含任何第三方提供的附件图纸等,如果需要附件,请联系上传者。文件的所有权益归上传用户所有。
  • 3. 本站RAR压缩包中若带图纸,网页内容里面会有图纸预览,若没有图纸预览就没有图纸。
  • 4. 未经权益所有人同意不得将文件中的内容挪作商业或盈利用途。
  • 5. 人人文库网仅提供信息存储空间,仅对用户上传内容的表现方式做保护处理,对用户上传分享的文档内容本身不做任何修改或编辑,并不能对任何下载内容负责。
  • 6. 下载文件中如有侵权或不适当内容,请与我们联系,我们立即纠正。
  • 7. 本站不保证下载资源的准确性、安全性和完整性, 同时也不承担用户因使用这些下载资源对自己和他人造成任何形式的伤害或损失。

最新文档

评论

0/150

提交评论