Proc tree

    • [DOCX File]Root - Mobile ITnT Solutions

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      The Linux Directory / File Tree ... /proc – Process Information. Contains information about system process. /proc. is another special directory, appearing to be ordinary files, but not taking up disk space. It is actually a view of the kernel, or better, what the kernel manages, and is a …


    • [DOC File]User Guide to Statistical Analyses

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      proc tree; run; When this code is run, we get the resulting output: Stepwise Discriminant analysis: Given the large number of fingerprint groups in OFRG studies, it would be unfeasible to manually pick out groups, or clusters of groups, that demonstrate treatment differences. To help us locate differences between treatments, we use a stepwise ...


    • [DOCX File]KSU | Faculty Web - Faculty Web Pages

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      Proc stdize data = jlp.iris method = range out = temp; var &inputs; run; Proc cluster data = temp method=ward ccc pseudo outtree=tree; var &inputs; run; Proc tree data = tree level = .0005; run; /* */ /* KMEANS CLUSTERING */ proc fastclus data=temp maxc=3 maxiter=10 out=clus; var Sepal_Length Sepal_Width Petal_Length Petal_Width; run; proc freq ...


    • [DOC File]Title1 'Chapter 16 Examples';

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      proc. tree. data= clustertree out= treeout nclusters= 3; title3 'proc tree from original cluster data'; run; Proc. print. data= treeout; title3 'out= treeout from proc tree on original data'; run; Title3; run; Title: Title1 'Chapter 16 Examples'; Author: Al Schwarzkopf Last modified …


    • [DOC File]Procrustes distance

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      If PROC CLUSTER and TREE are used, a phenogram is also printed in the output. References: Harvati, K., Frost, S.R., & McNulty, K.P. (2004). Neanderthal taxonomy reconsidered: Implications of 3D primate models of intra- and interspecific differences. Proceedings of the …


    • [DOC File]EXAMPLE: Using SAS data step to do Monte Carlo Integration

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      The distance between two points (x1, y1) and (x2, y2) can be found by d = . The Nearest Neighbor distance to a particular tree is the smallest of all of the distances from this tree to all other trees. One measure of tree closeness might be the average Nearest Neighbor distance. If this average is too "small", then this suggests aggregation.


    • [DOC File]Title1 'Chapter 16 Examples';

      https://info.5y1.org/proc-tree_1_d87ad7.html

      Title2 'Cluster Analysis of Chemical Data'; Data Cluster;. length symboltype $7. ; Infile 'f:\MultivariateAnalysis05x\AfifiData\Cluster.txt'; Input Type $ SYMBOL $ OBSNO ROR5 DE SALESGR5 EPS5 NPM1 PE PAYOUTR1;


    • [DOC File]National Algorithms for Determining Stocking Class, Stand ...

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      Because individual tree species and size classes could not be consistently identified, the usefulness of this classification as a tool for area classification was limited. Basal Area Standard – in this procedure, tally trees are counted to determine the predominant species and age group. The basal area standard is the basal area expected in a ...


    • [DOC File]9

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      The OUT=___ option in PROC TREE puts what cluster each observation belongs to in a data set. COPY puts X1 and X2 into the OUT data set. Note that no output is produced by PROC TREE except for the hierarchical tree diagram in the graph window. Below is the resulting output:


    • [DOC File]Cluster Analysis Example:

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      proc. tree. data=tree out=clus3 nclusters= 3; id cid; copy income educ; The TREE procedure produces a tree diagram, also known as a dendrogram or phenogram, using a data set created by the CLUSTER procedure. The CLUSTER procedure creates output data sets that contain the results of hierarchical clustering as a tree structure.


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