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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationTue, 11 Nov 2008 06:34:06 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/11/t1226410541j7c4dk6y4h5l5ja.htm/, Retrieved Tue, 28 May 2024 04:05:39 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23459, Retrieved Tue, 28 May 2024 04:05:39 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Hierarchical Clustering] [Various EDA topic...] [2008-11-11 13:34:06] [70ba55c7ff8e068610dc28fc16e6d1e2] [Current]
Feedback Forum
2008-11-22 15:01:04 [Stijn Loomans] [reply] 
Juiste methode maar er is nergens een besluit van de gegevens terug te vinden.
2008-11-23 16:09:30 [df2ed12c9b09685cd516719b004050c5] [reply] 
Het dendogram wordt meestal gebruikt voor niet-tijdreeksen vb: in de marketing, om producten die samen horen te categoriseren.
Het dendogram geeft een clustering weer van observaties (maanden), er staat ook telkens een volgnummer bij. Welke observaties van de tijdreeksen gelijkaardig zijn, worden geclusterd, vormen dus aparte takken. Des te minder clusters er gevormd worden, des te meer verband in de tijdreeksen.

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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
7.8
7.6
7.5
7.6
7.5
7.3
7.6
7.5
7.6
7.9
7.9
8.1
8.2
8.0
7.5
6.8
6.5
6.6
7.6
8.0
8.0
7.7
7.5
7.6
7.7
7.9
7.8
7.5
7.5
7.1
7.5
7.5
7.6
7.7
7.7
7.9
8.1
8.2
8.2
8.1
7.9
7.3
6.9
6.6
6.7
6.9
7.0
7.1
7.2
7.1
6.9
7.0
6.8
6.4
6.7
6.7
6.4
6.3
6.2
6.5
6.8
6.8
6.5
6.3
5.9
5.9
6.4
6.4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23459&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23459&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23459&T=0

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Summary of Dendrogram
LabelHeight
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
170
180
190
200
210
220
230
240
250
260
270
280
290
300
310
320
330
340
350
360
370
380
390
400
410
420
430
440
450
460
470
480.133333333333333
490.133333333333333
500.239999999999999
510.239999999999999
520.266666666666666
530.299999999999999
540.342857142857142
550.374999999999999
560.380952380952383
570.497142857142859
580.601666666666668
590.717948717948721
600.795714285714284
611.12500000000000
621.31538461538461
631.57857142857143
642.08500000000000
655.41666666666667
665.98392857142857
6725.1031862745098

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0 \tabularnewline
2 & 0 \tabularnewline
3 & 0 \tabularnewline
4 & 0 \tabularnewline
5 & 0 \tabularnewline
6 & 0 \tabularnewline
7 & 0 \tabularnewline
8 & 0 \tabularnewline
9 & 0 \tabularnewline
10 & 0 \tabularnewline
11 & 0 \tabularnewline
12 & 0 \tabularnewline
13 & 0 \tabularnewline
14 & 0 \tabularnewline
15 & 0 \tabularnewline
16 & 0 \tabularnewline
17 & 0 \tabularnewline
18 & 0 \tabularnewline
19 & 0 \tabularnewline
20 & 0 \tabularnewline
21 & 0 \tabularnewline
22 & 0 \tabularnewline
23 & 0 \tabularnewline
24 & 0 \tabularnewline
25 & 0 \tabularnewline
26 & 0 \tabularnewline
27 & 0 \tabularnewline
28 & 0 \tabularnewline
29 & 0 \tabularnewline
30 & 0 \tabularnewline
31 & 0 \tabularnewline
32 & 0 \tabularnewline
33 & 0 \tabularnewline
34 & 0 \tabularnewline
35 & 0 \tabularnewline
36 & 0 \tabularnewline
37 & 0 \tabularnewline
38 & 0 \tabularnewline
39 & 0 \tabularnewline
40 & 0 \tabularnewline
41 & 0 \tabularnewline
42 & 0 \tabularnewline
43 & 0 \tabularnewline
44 & 0 \tabularnewline
45 & 0 \tabularnewline
46 & 0 \tabularnewline
47 & 0 \tabularnewline
48 & 0.133333333333333 \tabularnewline
49 & 0.133333333333333 \tabularnewline
50 & 0.239999999999999 \tabularnewline
51 & 0.239999999999999 \tabularnewline
52 & 0.266666666666666 \tabularnewline
53 & 0.299999999999999 \tabularnewline
54 & 0.342857142857142 \tabularnewline
55 & 0.374999999999999 \tabularnewline
56 & 0.380952380952383 \tabularnewline
57 & 0.497142857142859 \tabularnewline
58 & 0.601666666666668 \tabularnewline
59 & 0.717948717948721 \tabularnewline
60 & 0.795714285714284 \tabularnewline
61 & 1.12500000000000 \tabularnewline
62 & 1.31538461538461 \tabularnewline
63 & 1.57857142857143 \tabularnewline
64 & 2.08500000000000 \tabularnewline
65 & 5.41666666666667 \tabularnewline
66 & 5.98392857142857 \tabularnewline
67 & 25.1031862745098 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23459&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0[/C][/ROW]
[ROW][C]2[/C][C]0[/C][/ROW]
[ROW][C]3[/C][C]0[/C][/ROW]
[ROW][C]4[/C][C]0[/C][/ROW]
[ROW][C]5[/C][C]0[/C][/ROW]
[ROW][C]6[/C][C]0[/C][/ROW]
[ROW][C]7[/C][C]0[/C][/ROW]
[ROW][C]8[/C][C]0[/C][/ROW]
[ROW][C]9[/C][C]0[/C][/ROW]
[ROW][C]10[/C][C]0[/C][/ROW]
[ROW][C]11[/C][C]0[/C][/ROW]
[ROW][C]12[/C][C]0[/C][/ROW]
[ROW][C]13[/C][C]0[/C][/ROW]
[ROW][C]14[/C][C]0[/C][/ROW]
[ROW][C]15[/C][C]0[/C][/ROW]
[ROW][C]16[/C][C]0[/C][/ROW]
[ROW][C]17[/C][C]0[/C][/ROW]
[ROW][C]18[/C][C]0[/C][/ROW]
[ROW][C]19[/C][C]0[/C][/ROW]
[ROW][C]20[/C][C]0[/C][/ROW]
[ROW][C]21[/C][C]0[/C][/ROW]
[ROW][C]22[/C][C]0[/C][/ROW]
[ROW][C]23[/C][C]0[/C][/ROW]
[ROW][C]24[/C][C]0[/C][/ROW]
[ROW][C]25[/C][C]0[/C][/ROW]
[ROW][C]26[/C][C]0[/C][/ROW]
[ROW][C]27[/C][C]0[/C][/ROW]
[ROW][C]28[/C][C]0[/C][/ROW]
[ROW][C]29[/C][C]0[/C][/ROW]
[ROW][C]30[/C][C]0[/C][/ROW]
[ROW][C]31[/C][C]0[/C][/ROW]
[ROW][C]32[/C][C]0[/C][/ROW]
[ROW][C]33[/C][C]0[/C][/ROW]
[ROW][C]34[/C][C]0[/C][/ROW]
[ROW][C]35[/C][C]0[/C][/ROW]
[ROW][C]36[/C][C]0[/C][/ROW]
[ROW][C]37[/C][C]0[/C][/ROW]
[ROW][C]38[/C][C]0[/C][/ROW]
[ROW][C]39[/C][C]0[/C][/ROW]
[ROW][C]40[/C][C]0[/C][/ROW]
[ROW][C]41[/C][C]0[/C][/ROW]
[ROW][C]42[/C][C]0[/C][/ROW]
[ROW][C]43[/C][C]0[/C][/ROW]
[ROW][C]44[/C][C]0[/C][/ROW]
[ROW][C]45[/C][C]0[/C][/ROW]
[ROW][C]46[/C][C]0[/C][/ROW]
[ROW][C]47[/C][C]0[/C][/ROW]
[ROW][C]48[/C][C]0.133333333333333[/C][/ROW]
[ROW][C]49[/C][C]0.133333333333333[/C][/ROW]
[ROW][C]50[/C][C]0.239999999999999[/C][/ROW]
[ROW][C]51[/C][C]0.239999999999999[/C][/ROW]
[ROW][C]52[/C][C]0.266666666666666[/C][/ROW]
[ROW][C]53[/C][C]0.299999999999999[/C][/ROW]
[ROW][C]54[/C][C]0.342857142857142[/C][/ROW]
[ROW][C]55[/C][C]0.374999999999999[/C][/ROW]
[ROW][C]56[/C][C]0.380952380952383[/C][/ROW]
[ROW][C]57[/C][C]0.497142857142859[/C][/ROW]
[ROW][C]58[/C][C]0.601666666666668[/C][/ROW]
[ROW][C]59[/C][C]0.717948717948721[/C][/ROW]
[ROW][C]60[/C][C]0.795714285714284[/C][/ROW]
[ROW][C]61[/C][C]1.12500000000000[/C][/ROW]
[ROW][C]62[/C][C]1.31538461538461[/C][/ROW]
[ROW][C]63[/C][C]1.57857142857143[/C][/ROW]
[ROW][C]64[/C][C]2.08500000000000[/C][/ROW]
[ROW][C]65[/C][C]5.41666666666667[/C][/ROW]
[ROW][C]66[/C][C]5.98392857142857[/C][/ROW]
[ROW][C]67[/C][C]25.1031862745098[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23459&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23459&T=1

As an alternative you can also use a QR Code:  
QR Code


The GUIDs for individual cells are displayed in the table below:

Summary of Dendrogram
LabelHeight
10
20
30
40
50
60
70
80
90
100
110
120
130
140
150
160
170
180
190
200
210
220
230
240
250
260
270
280
290
300
310
320
330
340
350
360
370
380
390
400
410
420
430
440
450
460
470
480.133333333333333
490.133333333333333
500.239999999999999
510.239999999999999
520.266666666666666
530.299999999999999
540.342857142857142
550.374999999999999
560.380952380952383
570.497142857142859
580.601666666666668
590.717948717948721
600.795714285714284
611.12500000000000
621.31538461538461
631.57857142857143
642.08500000000000
655.41666666666667
665.98392857142857
6725.1031862745098


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
R code (references can be found in the software module):
par3 <- as.logical(par3)
par4 <- as.logical(par4)
if (par3 == 'TRUE'){
dum = xlab
xlab = ylab
ylab = dum
}
x <- t(y)
hc <- hclust(dist(x),method=par1)
d <- as.dendrogram(hc)
str(d)
mysub <- paste('Method: ',par1)
bitmap(file='test1.png')
if (par4 == 'TRUE'){
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(d,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
if (par2 != 'ALL'){
if (par3 == 'TRUE'){
ylab = 'cluster'
} else {
xlab = 'cluster'
}
par2 <- as.numeric(par2)
memb <- cutree(hc, k = par2)
cent <- NULL
for(k in 1:par2){
cent <- rbind(cent, colMeans(x[memb == k, , drop = FALSE]))
}
hc1 <- hclust(dist(cent),method=par1, members = table(memb))
de <- as.dendrogram(hc1)
bitmap(file='test2.png')
if (par4 == 'TRUE'){
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8),type='t',center=T, sub=mysub)
} else {
plot(de,main=main,ylab=ylab,xlab=xlab,horiz=par3, nodePar=list(pch = c(1,NA), cex=0.8, lab.cex = 0.8), sub=mysub)
}
dev.off()
str(de)
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- length(x[,1])-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,hc$labels[i])
a<-table.element(a,hc$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')
if (par2 != 'ALL'){
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Summary of Cut Dendrogram',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Label',header=TRUE)
a<-table.element(a,'Height',header=TRUE)
a<-table.row.end(a)
num <- par2-1
for (i in 1:num)
{
a<-table.row.start(a)
a<-table.element(a,i)
a<-table.element(a,hc1$height[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
}