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of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationSun, 04 Nov 2007 10:02:58 -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/2007/Nov/04/tx0mjk7v5g436zd1194195693.htm/, Retrieved Sun, 05 May 2024 17:11:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=364, Retrieved Sun, 05 May 2024 17:11:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact222
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [WS 5 Various EDA ...] [2007-11-04 17:02:58] [4bd8a0043457404de73994ae0e323922] [Current]
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Dataseries X:
7,4	6,4	8,7
7,2	6,3	8,5
7	6	8,2
6,6	5,3	8,3
6,4	5,2	8
6,4	5,1	8,1
6,8	5,4	8,7
7,3	5,8	9,3
7	5,6	8,9
7	5,6	8,8
6,7	5,4	8,4
6,7	5,4	8,4
6,3	5,5	7,3
6,2	5,5	7,2
6	5,3	7
6,3	5,7	7
6,2	5,6	6,9
6,1	5,5	6,9
6,2	5,6	7,1
6,6	5,9	7,5
6,6	6	7,4
7,8	7	8,9
7,4	6,6	8,3
7,4	6,6	8,3
7,5	6,3	9
7,4	6,3	8,9
7,4	6,3	8,8
7	6,3	7,8
6,9	6,2	7,8
6,9	6,2	7,8
7,6	6,3	9,2
7,7	6,4	9,3
7,6	6,4	9,2
8,2	7,8	8,6
8	7,7	8,5
8,1	7,7	8,5
8,3	7,7	9
8,2	7,7	9
8,1	7,6	8,8
7,7	7,5	8
7,6	7,4	7,9
7,7	7,4	8,1
8,2	7,5	9,3
8,4	7,6	9,4
8,4	7,6	9,4
8,6	8,1	9,3
8,4	7,8	9
8,5	8	9,1
8,7	7,9	9,7
8,7	7,9	9,7
8,6	7,8	9,6
7,4	6,7	8,3
7,3	6,6	8,2
7,4	6,6	8,4
9	7,7	10,6
9,2	7,9	10,9
9,2	8	10,9
8,5	7,7	9,6
8,3	7,5	9,3
8,3	7,6	9,3
8,6	7,8	9,6
8,6	7,8	9,5
8,5	7,7	9,5
8,1	7,4	9
8,1	7,5	8,9
8	7,2	9
8,6	7,5	10,1
8,7	7,6	10,2
8,7	7,6	10,2
8,6	7,8	9,5
8,4	7,7	9,3
8,4	7,7	9,3
8,7	8,2	9,4
8,7	8,2	9,3
8,5	8,1	9,1
8,3	7,8	9
8,3	7,8	8,9
8,3	7,7	9
8,1	6,7	9,8
8,2	6,7	10
8,1	6,7	9,8
8,1	7,2	9,4
7,9	6,9	9
7,7	6,8	8,9
8,1	7,2	9,3
8	7,1	9,1
7,7	6,9	8,8
7,8	6,9	8,9
7,6	6,7	8,7
7,4	6,5	8,6
7,7	6,6	9,1
7,9	6,6	9,3
7,6	6,5	8,9




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=364&T=0

[TABLE]
[ROW][C]Summary of compuational 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]2 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=364&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=364&T=0

As an alternative you can also use a QR Code:  

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

Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Summary of Dendrogram
LabelHeight
10
20
30
40
50
60
70
80
90
100
110
120.0999999999999996
130.0999999999999996
140.0999999999999996
150.0999999999999996
160.0999999999999996
170.0999999999999996
180.0999999999999996
190.0999999999999996
200.0999999999999996
210.0999999999999996
220.0999999999999996
230.100000000000001
240.127614237491539
250.127614237491541
260.133333333333333
270.133333333333335
280.137377344785322
290.141421356237309
300.141421356237309
310.141421356237309
320.141421356237309
330.141421356237309
340.141421356237310
350.141421356237310
360.141421356237310
370.141421356237310
380.173205080756888
390.176417624662798
400.176417624662798
410.1764176246628
420.188561808316412
430.199999999999999
440.210018769324858
450.217400800258808
460.217719700768865
470.230940107675849
480.230940107675851
490.235702260395515
500.244948974278317
510.245436036690136
520.254165767818701
530.279458180291988
540.282842712474619
550.286168582658929
560.298142396999971
570.301763809020503
580.352859547920897
590.397606774342517
600.438685717649667
610.44684678446316
620.463087612001388
630.474034131450302
640.531864212827577
650.533693132821101
660.549237892498694
670.554234759029406
680.590009844047375
690.59481699012736
700.660920148281909
710.66111711741648
720.891825466289151
730.957332835878085
740.957506881651033
751.32373256223693
761.43916639772776
771.7635439904068
781.88870440693586
792.09246075267243
802.09391601590158
812.41833042900632
822.60806974096245
833.04547285938668
843.47791412803025
854.54834978713410
865.02997035987643
875.59184354295347
886.44758256224646
898.39491989814402
909.18402332816775
9127.8558742683003
9253.6444792355086

\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 & 0.0999999999999996 \tabularnewline
13 & 0.0999999999999996 \tabularnewline
14 & 0.0999999999999996 \tabularnewline
15 & 0.0999999999999996 \tabularnewline
16 & 0.0999999999999996 \tabularnewline
17 & 0.0999999999999996 \tabularnewline
18 & 0.0999999999999996 \tabularnewline
19 & 0.0999999999999996 \tabularnewline
20 & 0.0999999999999996 \tabularnewline
21 & 0.0999999999999996 \tabularnewline
22 & 0.0999999999999996 \tabularnewline
23 & 0.100000000000001 \tabularnewline
24 & 0.127614237491539 \tabularnewline
25 & 0.127614237491541 \tabularnewline
26 & 0.133333333333333 \tabularnewline
27 & 0.133333333333335 \tabularnewline
28 & 0.137377344785322 \tabularnewline
29 & 0.141421356237309 \tabularnewline
30 & 0.141421356237309 \tabularnewline
31 & 0.141421356237309 \tabularnewline
32 & 0.141421356237309 \tabularnewline
33 & 0.141421356237309 \tabularnewline
34 & 0.141421356237310 \tabularnewline
35 & 0.141421356237310 \tabularnewline
36 & 0.141421356237310 \tabularnewline
37 & 0.141421356237310 \tabularnewline
38 & 0.173205080756888 \tabularnewline
39 & 0.176417624662798 \tabularnewline
40 & 0.176417624662798 \tabularnewline
41 & 0.1764176246628 \tabularnewline
42 & 0.188561808316412 \tabularnewline
43 & 0.199999999999999 \tabularnewline
44 & 0.210018769324858 \tabularnewline
45 & 0.217400800258808 \tabularnewline
46 & 0.217719700768865 \tabularnewline
47 & 0.230940107675849 \tabularnewline
48 & 0.230940107675851 \tabularnewline
49 & 0.235702260395515 \tabularnewline
50 & 0.244948974278317 \tabularnewline
51 & 0.245436036690136 \tabularnewline
52 & 0.254165767818701 \tabularnewline
53 & 0.279458180291988 \tabularnewline
54 & 0.282842712474619 \tabularnewline
55 & 0.286168582658929 \tabularnewline
56 & 0.298142396999971 \tabularnewline
57 & 0.301763809020503 \tabularnewline
58 & 0.352859547920897 \tabularnewline
59 & 0.397606774342517 \tabularnewline
60 & 0.438685717649667 \tabularnewline
61 & 0.44684678446316 \tabularnewline
62 & 0.463087612001388 \tabularnewline
63 & 0.474034131450302 \tabularnewline
64 & 0.531864212827577 \tabularnewline
65 & 0.533693132821101 \tabularnewline
66 & 0.549237892498694 \tabularnewline
67 & 0.554234759029406 \tabularnewline
68 & 0.590009844047375 \tabularnewline
69 & 0.59481699012736 \tabularnewline
70 & 0.660920148281909 \tabularnewline
71 & 0.66111711741648 \tabularnewline
72 & 0.891825466289151 \tabularnewline
73 & 0.957332835878085 \tabularnewline
74 & 0.957506881651033 \tabularnewline
75 & 1.32373256223693 \tabularnewline
76 & 1.43916639772776 \tabularnewline
77 & 1.7635439904068 \tabularnewline
78 & 1.88870440693586 \tabularnewline
79 & 2.09246075267243 \tabularnewline
80 & 2.09391601590158 \tabularnewline
81 & 2.41833042900632 \tabularnewline
82 & 2.60806974096245 \tabularnewline
83 & 3.04547285938668 \tabularnewline
84 & 3.47791412803025 \tabularnewline
85 & 4.54834978713410 \tabularnewline
86 & 5.02997035987643 \tabularnewline
87 & 5.59184354295347 \tabularnewline
88 & 6.44758256224646 \tabularnewline
89 & 8.39491989814402 \tabularnewline
90 & 9.18402332816775 \tabularnewline
91 & 27.8558742683003 \tabularnewline
92 & 53.6444792355086 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=364&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]0.0999999999999996[/C][/ROW]
[ROW][C]13[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]14[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]15[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]16[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]17[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]18[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]19[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]20[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]21[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]22[/C][C]0.0999999999999996[/C][/ROW]
[ROW][C]23[/C][C]0.100000000000001[/C][/ROW]
[ROW][C]24[/C][C]0.127614237491539[/C][/ROW]
[ROW][C]25[/C][C]0.127614237491541[/C][/ROW]
[ROW][C]26[/C][C]0.133333333333333[/C][/ROW]
[ROW][C]27[/C][C]0.133333333333335[/C][/ROW]
[ROW][C]28[/C][C]0.137377344785322[/C][/ROW]
[ROW][C]29[/C][C]0.141421356237309[/C][/ROW]
[ROW][C]30[/C][C]0.141421356237309[/C][/ROW]
[ROW][C]31[/C][C]0.141421356237309[/C][/ROW]
[ROW][C]32[/C][C]0.141421356237309[/C][/ROW]
[ROW][C]33[/C][C]0.141421356237309[/C][/ROW]
[ROW][C]34[/C][C]0.141421356237310[/C][/ROW]
[ROW][C]35[/C][C]0.141421356237310[/C][/ROW]
[ROW][C]36[/C][C]0.141421356237310[/C][/ROW]
[ROW][C]37[/C][C]0.141421356237310[/C][/ROW]
[ROW][C]38[/C][C]0.173205080756888[/C][/ROW]
[ROW][C]39[/C][C]0.176417624662798[/C][/ROW]
[ROW][C]40[/C][C]0.176417624662798[/C][/ROW]
[ROW][C]41[/C][C]0.1764176246628[/C][/ROW]
[ROW][C]42[/C][C]0.188561808316412[/C][/ROW]
[ROW][C]43[/C][C]0.199999999999999[/C][/ROW]
[ROW][C]44[/C][C]0.210018769324858[/C][/ROW]
[ROW][C]45[/C][C]0.217400800258808[/C][/ROW]
[ROW][C]46[/C][C]0.217719700768865[/C][/ROW]
[ROW][C]47[/C][C]0.230940107675849[/C][/ROW]
[ROW][C]48[/C][C]0.230940107675851[/C][/ROW]
[ROW][C]49[/C][C]0.235702260395515[/C][/ROW]
[ROW][C]50[/C][C]0.244948974278317[/C][/ROW]
[ROW][C]51[/C][C]0.245436036690136[/C][/ROW]
[ROW][C]52[/C][C]0.254165767818701[/C][/ROW]
[ROW][C]53[/C][C]0.279458180291988[/C][/ROW]
[ROW][C]54[/C][C]0.282842712474619[/C][/ROW]
[ROW][C]55[/C][C]0.286168582658929[/C][/ROW]
[ROW][C]56[/C][C]0.298142396999971[/C][/ROW]
[ROW][C]57[/C][C]0.301763809020503[/C][/ROW]
[ROW][C]58[/C][C]0.352859547920897[/C][/ROW]
[ROW][C]59[/C][C]0.397606774342517[/C][/ROW]
[ROW][C]60[/C][C]0.438685717649667[/C][/ROW]
[ROW][C]61[/C][C]0.44684678446316[/C][/ROW]
[ROW][C]62[/C][C]0.463087612001388[/C][/ROW]
[ROW][C]63[/C][C]0.474034131450302[/C][/ROW]
[ROW][C]64[/C][C]0.531864212827577[/C][/ROW]
[ROW][C]65[/C][C]0.533693132821101[/C][/ROW]
[ROW][C]66[/C][C]0.549237892498694[/C][/ROW]
[ROW][C]67[/C][C]0.554234759029406[/C][/ROW]
[ROW][C]68[/C][C]0.590009844047375[/C][/ROW]
[ROW][C]69[/C][C]0.59481699012736[/C][/ROW]
[ROW][C]70[/C][C]0.660920148281909[/C][/ROW]
[ROW][C]71[/C][C]0.66111711741648[/C][/ROW]
[ROW][C]72[/C][C]0.891825466289151[/C][/ROW]
[ROW][C]73[/C][C]0.957332835878085[/C][/ROW]
[ROW][C]74[/C][C]0.957506881651033[/C][/ROW]
[ROW][C]75[/C][C]1.32373256223693[/C][/ROW]
[ROW][C]76[/C][C]1.43916639772776[/C][/ROW]
[ROW][C]77[/C][C]1.7635439904068[/C][/ROW]
[ROW][C]78[/C][C]1.88870440693586[/C][/ROW]
[ROW][C]79[/C][C]2.09246075267243[/C][/ROW]
[ROW][C]80[/C][C]2.09391601590158[/C][/ROW]
[ROW][C]81[/C][C]2.41833042900632[/C][/ROW]
[ROW][C]82[/C][C]2.60806974096245[/C][/ROW]
[ROW][C]83[/C][C]3.04547285938668[/C][/ROW]
[ROW][C]84[/C][C]3.47791412803025[/C][/ROW]
[ROW][C]85[/C][C]4.54834978713410[/C][/ROW]
[ROW][C]86[/C][C]5.02997035987643[/C][/ROW]
[ROW][C]87[/C][C]5.59184354295347[/C][/ROW]
[ROW][C]88[/C][C]6.44758256224646[/C][/ROW]
[ROW][C]89[/C][C]8.39491989814402[/C][/ROW]
[ROW][C]90[/C][C]9.18402332816775[/C][/ROW]
[ROW][C]91[/C][C]27.8558742683003[/C][/ROW]
[ROW][C]92[/C][C]53.6444792355086[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=364&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=364&T=1

As an alternative you can also use a 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
120.0999999999999996
130.0999999999999996
140.0999999999999996
150.0999999999999996
160.0999999999999996
170.0999999999999996
180.0999999999999996
190.0999999999999996
200.0999999999999996
210.0999999999999996
220.0999999999999996
230.100000000000001
240.127614237491539
250.127614237491541
260.133333333333333
270.133333333333335
280.137377344785322
290.141421356237309
300.141421356237309
310.141421356237309
320.141421356237309
330.141421356237309
340.141421356237310
350.141421356237310
360.141421356237310
370.141421356237310
380.173205080756888
390.176417624662798
400.176417624662798
410.1764176246628
420.188561808316412
430.199999999999999
440.210018769324858
450.217400800258808
460.217719700768865
470.230940107675849
480.230940107675851
490.235702260395515
500.244948974278317
510.245436036690136
520.254165767818701
530.279458180291988
540.282842712474619
550.286168582658929
560.298142396999971
570.301763809020503
580.352859547920897
590.397606774342517
600.438685717649667
610.44684678446316
620.463087612001388
630.474034131450302
640.531864212827577
650.533693132821101
660.549237892498694
670.554234759029406
680.590009844047375
690.59481699012736
700.660920148281909
710.66111711741648
720.891825466289151
730.957332835878085
740.957506881651033
751.32373256223693
761.43916639772776
771.7635439904068
781.88870440693586
792.09246075267243
802.09391601590158
812.41833042900632
822.60806974096245
833.04547285938668
843.47791412803025
854.54834978713410
865.02997035987643
875.59184354295347
886.44758256224646
898.39491989814402
909.18402332816775
9127.8558742683003
9253.6444792355086



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')
}