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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 11:27:22 -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/t1226428082vndisct5x30shvf.htm/, Retrieved Sun, 19 May 2024 12:14:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23799, Retrieved Sun, 19 May 2024 12:14:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsgdm
Estimated Impact121

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] [WS3 Task 2] [2008-11-11 18:27:22] [99f79d508deef838ee89a56fb32f134e] [Current]
Feedback Forum
2008-11-20 10:21:28 [Angelique Van de Vijver] [reply] 
Goede conclusie: Via het dendrogram wordt de tijdreeks onderverdeeld in verschillende clusters. Er zijn inderdaad meer clusters naarmate de waarde lager is.
Extra uitleg: Het dendrogram is louter exploratief en hieruit kunnen we dus ook niet veel afleiden. De linker-en rechter cluster hebben ongeveer dezelfde waarde. In de rechtercluster zijn er meer onderverdelingen dan in de linkercluster.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
98,6
98
106,8
96,6
100,1
107,7
91,5
97,8
107,4
117,5
105,6
97,4
99,5
98
104,3
100,6
101,1
103,9
96,9
95,5
108,4
117
103,8
100,8
110,6
104
112,6
107,3
98,9
109,8
104,9
102,2
123,9
124,9
112,7
121,9
100,6
104,3
120,4
107,5
102,9
125,6
107,5
108,8
128,4
121,1
119,5
128,7
108,7
105,5
119,8
111,3
110,6
120,1
97,5
107,7
127,3
117,2
119,8
116,2
111
112,4
130,6
109,1
118,8
123,9
101,6
112,8
128
129,6
125,8
119,5
115,7
113,6
129,7
112
116,8
127
112,1
114,2
121,1
131,6
125
120,4
117,7
117,5
120,6
127,5
112,3
124,5
115,2
105,4

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 3 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23799&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23799&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23799&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 time3 seconds
R Server'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Summary of Dendrogram
LabelHeight
10
20
30
40
50
60
70
80
90
100
110
120
130.0999999999999943
140.0999999999999943
150.0999999999999943
160.0999999999999943
170.0999999999999943
180.0999999999999943
190.0999999999999943
200.0999999999999943
210.100000000000009
220.100000000000009
230.166666666666657
240.166666666666676
250.166666666666676
260.200000000000003
270.200000000000003
280.200000000000003
290.249999999999993
300.266666666666652
310.266666666666670
320.266666666666670
330.266666666666670
340.299999999999983
350.299999999999997
360.300000000000011
370.300000000000011
380.333333333333338
390.399999999999996
400.433333333333328
410.466666666666664
420.5
430.5
440.500000000000007
450.566666666666658
460.566666666666672
470.599999999999994
480.600000000000009
490.616666666666672
500.633333333333335
510.700000000000003
520.799999999999992
530.800000000000011
540.833333333333333
550.95000000000001
560.993333333333326
571
581.06666666666668
591.09047619047620
601.23333333333333
611.26190476190475
621.26666666666666
631.30000000000000
641.36666666666667
651.46
661.56666666666666
671.64999999999999
681.77333333333332
692.03333333333332
702.35000000000001
712.50000000000000
722.84571428571427
733.42666666666667
743.52857142857145
753.59833333333333
764.24444444444445
775.03333333333336
786.23051948051949
796.66619047619047
806.93051948051947
818.56999999999998
828.68545454545453
839.39722222222222
8423.4060504201681
8524.0986868686868
8626.4817460317460
8732.4009222661396
8854.2938852813852
89121.765191815857
90159.930576923077
91516.873879598662

\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 & 0.0999999999999943 \tabularnewline
14 & 0.0999999999999943 \tabularnewline
15 & 0.0999999999999943 \tabularnewline
16 & 0.0999999999999943 \tabularnewline
17 & 0.0999999999999943 \tabularnewline
18 & 0.0999999999999943 \tabularnewline
19 & 0.0999999999999943 \tabularnewline
20 & 0.0999999999999943 \tabularnewline
21 & 0.100000000000009 \tabularnewline
22 & 0.100000000000009 \tabularnewline
23 & 0.166666666666657 \tabularnewline
24 & 0.166666666666676 \tabularnewline
25 & 0.166666666666676 \tabularnewline
26 & 0.200000000000003 \tabularnewline
27 & 0.200000000000003 \tabularnewline
28 & 0.200000000000003 \tabularnewline
29 & 0.249999999999993 \tabularnewline
30 & 0.266666666666652 \tabularnewline
31 & 0.266666666666670 \tabularnewline
32 & 0.266666666666670 \tabularnewline
33 & 0.266666666666670 \tabularnewline
34 & 0.299999999999983 \tabularnewline
35 & 0.299999999999997 \tabularnewline
36 & 0.300000000000011 \tabularnewline
37 & 0.300000000000011 \tabularnewline
38 & 0.333333333333338 \tabularnewline
39 & 0.399999999999996 \tabularnewline
40 & 0.433333333333328 \tabularnewline
41 & 0.466666666666664 \tabularnewline
42 & 0.5 \tabularnewline
43 & 0.5 \tabularnewline
44 & 0.500000000000007 \tabularnewline
45 & 0.566666666666658 \tabularnewline
46 & 0.566666666666672 \tabularnewline
47 & 0.599999999999994 \tabularnewline
48 & 0.600000000000009 \tabularnewline
49 & 0.616666666666672 \tabularnewline
50 & 0.633333333333335 \tabularnewline
51 & 0.700000000000003 \tabularnewline
52 & 0.799999999999992 \tabularnewline
53 & 0.800000000000011 \tabularnewline
54 & 0.833333333333333 \tabularnewline
55 & 0.95000000000001 \tabularnewline
56 & 0.993333333333326 \tabularnewline
57 & 1 \tabularnewline
58 & 1.06666666666668 \tabularnewline
59 & 1.09047619047620 \tabularnewline
60 & 1.23333333333333 \tabularnewline
61 & 1.26190476190475 \tabularnewline
62 & 1.26666666666666 \tabularnewline
63 & 1.30000000000000 \tabularnewline
64 & 1.36666666666667 \tabularnewline
65 & 1.46 \tabularnewline
66 & 1.56666666666666 \tabularnewline
67 & 1.64999999999999 \tabularnewline
68 & 1.77333333333332 \tabularnewline
69 & 2.03333333333332 \tabularnewline
70 & 2.35000000000001 \tabularnewline
71 & 2.50000000000000 \tabularnewline
72 & 2.84571428571427 \tabularnewline
73 & 3.42666666666667 \tabularnewline
74 & 3.52857142857145 \tabularnewline
75 & 3.59833333333333 \tabularnewline
76 & 4.24444444444445 \tabularnewline
77 & 5.03333333333336 \tabularnewline
78 & 6.23051948051949 \tabularnewline
79 & 6.66619047619047 \tabularnewline
80 & 6.93051948051947 \tabularnewline
81 & 8.56999999999998 \tabularnewline
82 & 8.68545454545453 \tabularnewline
83 & 9.39722222222222 \tabularnewline
84 & 23.4060504201681 \tabularnewline
85 & 24.0986868686868 \tabularnewline
86 & 26.4817460317460 \tabularnewline
87 & 32.4009222661396 \tabularnewline
88 & 54.2938852813852 \tabularnewline
89 & 121.765191815857 \tabularnewline
90 & 159.930576923077 \tabularnewline
91 & 516.873879598662 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23799&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]0.0999999999999943[/C][/ROW]
[ROW][C]14[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]15[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]16[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]17[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]18[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]19[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]20[/C][C]0.0999999999999943[/C][/ROW]
[ROW][C]21[/C][C]0.100000000000009[/C][/ROW]
[ROW][C]22[/C][C]0.100000000000009[/C][/ROW]
[ROW][C]23[/C][C]0.166666666666657[/C][/ROW]
[ROW][C]24[/C][C]0.166666666666676[/C][/ROW]
[ROW][C]25[/C][C]0.166666666666676[/C][/ROW]
[ROW][C]26[/C][C]0.200000000000003[/C][/ROW]
[ROW][C]27[/C][C]0.200000000000003[/C][/ROW]
[ROW][C]28[/C][C]0.200000000000003[/C][/ROW]
[ROW][C]29[/C][C]0.249999999999993[/C][/ROW]
[ROW][C]30[/C][C]0.266666666666652[/C][/ROW]
[ROW][C]31[/C][C]0.266666666666670[/C][/ROW]
[ROW][C]32[/C][C]0.266666666666670[/C][/ROW]
[ROW][C]33[/C][C]0.266666666666670[/C][/ROW]
[ROW][C]34[/C][C]0.299999999999983[/C][/ROW]
[ROW][C]35[/C][C]0.299999999999997[/C][/ROW]
[ROW][C]36[/C][C]0.300000000000011[/C][/ROW]
[ROW][C]37[/C][C]0.300000000000011[/C][/ROW]
[ROW][C]38[/C][C]0.333333333333338[/C][/ROW]
[ROW][C]39[/C][C]0.399999999999996[/C][/ROW]
[ROW][C]40[/C][C]0.433333333333328[/C][/ROW]
[ROW][C]41[/C][C]0.466666666666664[/C][/ROW]
[ROW][C]42[/C][C]0.5[/C][/ROW]
[ROW][C]43[/C][C]0.5[/C][/ROW]
[ROW][C]44[/C][C]0.500000000000007[/C][/ROW]
[ROW][C]45[/C][C]0.566666666666658[/C][/ROW]
[ROW][C]46[/C][C]0.566666666666672[/C][/ROW]
[ROW][C]47[/C][C]0.599999999999994[/C][/ROW]
[ROW][C]48[/C][C]0.600000000000009[/C][/ROW]
[ROW][C]49[/C][C]0.616666666666672[/C][/ROW]
[ROW][C]50[/C][C]0.633333333333335[/C][/ROW]
[ROW][C]51[/C][C]0.700000000000003[/C][/ROW]
[ROW][C]52[/C][C]0.799999999999992[/C][/ROW]
[ROW][C]53[/C][C]0.800000000000011[/C][/ROW]
[ROW][C]54[/C][C]0.833333333333333[/C][/ROW]
[ROW][C]55[/C][C]0.95000000000001[/C][/ROW]
[ROW][C]56[/C][C]0.993333333333326[/C][/ROW]
[ROW][C]57[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]1.06666666666668[/C][/ROW]
[ROW][C]59[/C][C]1.09047619047620[/C][/ROW]
[ROW][C]60[/C][C]1.23333333333333[/C][/ROW]
[ROW][C]61[/C][C]1.26190476190475[/C][/ROW]
[ROW][C]62[/C][C]1.26666666666666[/C][/ROW]
[ROW][C]63[/C][C]1.30000000000000[/C][/ROW]
[ROW][C]64[/C][C]1.36666666666667[/C][/ROW]
[ROW][C]65[/C][C]1.46[/C][/ROW]
[ROW][C]66[/C][C]1.56666666666666[/C][/ROW]
[ROW][C]67[/C][C]1.64999999999999[/C][/ROW]
[ROW][C]68[/C][C]1.77333333333332[/C][/ROW]
[ROW][C]69[/C][C]2.03333333333332[/C][/ROW]
[ROW][C]70[/C][C]2.35000000000001[/C][/ROW]
[ROW][C]71[/C][C]2.50000000000000[/C][/ROW]
[ROW][C]72[/C][C]2.84571428571427[/C][/ROW]
[ROW][C]73[/C][C]3.42666666666667[/C][/ROW]
[ROW][C]74[/C][C]3.52857142857145[/C][/ROW]
[ROW][C]75[/C][C]3.59833333333333[/C][/ROW]
[ROW][C]76[/C][C]4.24444444444445[/C][/ROW]
[ROW][C]77[/C][C]5.03333333333336[/C][/ROW]
[ROW][C]78[/C][C]6.23051948051949[/C][/ROW]
[ROW][C]79[/C][C]6.66619047619047[/C][/ROW]
[ROW][C]80[/C][C]6.93051948051947[/C][/ROW]
[ROW][C]81[/C][C]8.56999999999998[/C][/ROW]
[ROW][C]82[/C][C]8.68545454545453[/C][/ROW]
[ROW][C]83[/C][C]9.39722222222222[/C][/ROW]
[ROW][C]84[/C][C]23.4060504201681[/C][/ROW]
[ROW][C]85[/C][C]24.0986868686868[/C][/ROW]
[ROW][C]86[/C][C]26.4817460317460[/C][/ROW]
[ROW][C]87[/C][C]32.4009222661396[/C][/ROW]
[ROW][C]88[/C][C]54.2938852813852[/C][/ROW]
[ROW][C]89[/C][C]121.765191815857[/C][/ROW]
[ROW][C]90[/C][C]159.930576923077[/C][/ROW]
[ROW][C]91[/C][C]516.873879598662[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23799&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23799&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
130.0999999999999943
140.0999999999999943
150.0999999999999943
160.0999999999999943
170.0999999999999943
180.0999999999999943
190.0999999999999943
200.0999999999999943
210.100000000000009
220.100000000000009
230.166666666666657
240.166666666666676
250.166666666666676
260.200000000000003
270.200000000000003
280.200000000000003
290.249999999999993
300.266666666666652
310.266666666666670
320.266666666666670
330.266666666666670
340.299999999999983
350.299999999999997
360.300000000000011
370.300000000000011
380.333333333333338
390.399999999999996
400.433333333333328
410.466666666666664
420.5
430.5
440.500000000000007
450.566666666666658
460.566666666666672
470.599999999999994
480.600000000000009
490.616666666666672
500.633333333333335
510.700000000000003
520.799999999999992
530.800000000000011
540.833333333333333
550.95000000000001
560.993333333333326
571
581.06666666666668
591.09047619047620
601.23333333333333
611.26190476190475
621.26666666666666
631.30000000000000
641.36666666666667
651.46
661.56666666666666
671.64999999999999
681.77333333333332
692.03333333333332
702.35000000000001
712.50000000000000
722.84571428571427
733.42666666666667
743.52857142857145
753.59833333333333
764.24444444444445
775.03333333333336
786.23051948051949
796.66619047619047
806.93051948051947
818.56999999999998
828.68545454545453
839.39722222222222
8423.4060504201681
8524.0986868686868
8626.4817460317460
8732.4009222661396
8854.2938852813852
89121.765191815857
90159.930576923077
91516.873879598662


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')
}