Free Statistics

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 02:56:33 -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/tag0qrgvevr72ca1194170106.htm/, Retrieved Sun, 05 May 2024 09:02:30 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=360, Retrieved Sun, 05 May 2024 09:02:30 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2 Centroid linkage
Estimated Impact191
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Various EDA topics] [2007-11-04 09:56:33] [3cbd35878d9bd3c68c81c01c5c6ec146] [Current]
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Dataseries X:
106.7	97.3	93.5	104.8	124.9
110.2	101	94.7	105.6	132
125.9	113.2	112.9	118.3	151.4
100.1	101	99.2	89.9	108.9
106.4	105.7	105.6	90.2	121.3
114.8	113.9	113	107	123.4
81.3	86.4	83.1	64.5	90.3
87	96.5	81.1	92.6	79.3
104.2	103.3	96.9	95.8	117.2
108	114.9	104.3	94.3	116.9
105	105.8	97.7	91.2	120.8
94.5	94.2	102.6	86.3	96.1
92	98.4	89.9	77.6	100.8
95.9	99.4	96	82.5	105.3
108.8	108.8	112.7	97.7	116.1
103.4	112.6	107.1	83.3	112.8
102.1	104.4	106.2	84.2	114.5
110.1	112.2	121	92.8	117.2
83.2	81.1	101.2	77.4	77.1
82.7	97.1	83.2	72.5	80.1
106.8	112.6	105.1	88.8	120.3
113.7	113.8	113.3	93.4	133.4
102.5	107.8	99.1	92.6	109.4
96.6	103.2	100.3	90.7	93.2
92.1	103.3	93.5	81.6	91.2
95.6	101.2	98.8	84.1	99.2
102.3	107.7	106.2	88.1	108.2
98.6	110.4	98.3	85.3	101.5
98.2	101.9	102.1	82.9	106.9
104.5	115.9	117.1	84.8	104.4
84	89.9	101.5	71.2	77.9
73.8	88.6	80.5	68.9	60
103.9	117.2	105.9	94.3	99.5
106	123.9	109.5	97.6	95
97.2	100	97.2	85.6	105.6
102.6	103.6	114.5	91.9	102.5
89	94.1	93.5	75.8	93.3
93.8	98.7	100.9	79.8	97.3
116.7	119.5	121.1	99	127
106.8	112.7	116.5	88.5	111.7
98.5	104.4	109.3	86.7	96.4
118.7	124.7	118.1	97.9	133
90	89.1	108.3	94.3	72.2
91.9	97	105.4	72.9	95.8
113.3	121.6	116.2	91.8	124.1
113.1	118.8	111.2	93.2	127.6
104.1	114	105.8	86.5	110.7
108.7	111.5	122.7	98.9	104.6
96.7	97.2	99.5	77.2	112.7
101	102.5	107.9	79.4	115.3
116.9	113.4	124.6	90.4	139.4
105.8	109.8	115	81.4	119
99	104.9	110.3	85.8	97.4
129.4	126.1	132.7	103.6	154
83	80	99.7	73.6	81.5
88.9	96.8	96.5	75.7	88.8
115.9	117.2	118.7	99.2	127.7
104.2	112.3	112.9	88.7	105.1
113.4	117.3	130.5	94.6	114.9
112.2	111.1	137.9	98.7	106.4
100.8	102.2	115	84.2	104.5
107.3	104.3	116.8	87.7	121.6
126.6	122.9	140.9	103.3	141.4
102.9	107.6	120.7	88.2	99
117.9	121.3	134.2	93.4	126.7
128.8	131.5	147.3	106.3	134.1
87.5	89	112.4	73.1	81.3
93.8	104.4	107.1	78.6	88.6
122.7	128.9	128.4	101.6	132.7
126.2	135.9	137.7	101.4	132.9
124.6	133.3	135	98.5	134.4
116.7	121.3	151	99	103.7
115.2	120.5	137.4	89.5	119.7
111.1	120.4	132.4	83.5	115
129.9	137.9	161.3	97.4	132.9
113.3	126.1	139.8	87.8	108.5
118.5	133.2	146	90.4	113.9
133.5	146.6	154.6	97.1	142.9
102.1	103.4	142.1	79.4	95.2
102.4	117.2	120.5	85	93




Summary of compuational 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 compuational 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=360&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]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=360&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=360&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 time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135







Summary of Dendrogram
LabelHeight
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
75.74512072532152
85.80896927782118
96.04648658313239
106.107372593841
116.45368112010501
126.68318991623895
136.70856395188957
146.81102048154313
156.83260979020074
166.8622153857191
176.9570635694692
187.01284535691469
197.4083140899238
207.57343886962343
217.96271809360783
227.70067939697619
237.74391660490514
248.08577866488946
258.29095893126965
267.51037217573801
277.94376386896572
287.49156230923087
298.39521515116436
308.61961785807173
318.85607136375944
328.88675723499887
338.8336632419453
348.91976550282563
358.21826678172368
368.59385614668311
379.06587006304414
389.07634287585039
399.21848623328527
409.29070268016596
419.0290314497483
429.38657694801817
439.66436754267965
449.88155467921738
459.22074492388363
4610.3614670775909
479.0145275409285
488.92164046755097
4910.7252559029533
5011.0257465898430
5111.1190299629814
5211.3220627930350
5311.5326938832682
5411.9829738307730
5512.9772900194014
5610.7200986181489
5713.1374055311728
5813.2018424987335
5913.2292277162367
6013.5952321659580
6114.1296382069122
6215.2849599279815
6315.3049958376085
6416.5753917415342
6513.8608601027515
6616.7485198699959
6716.5514915500870
6816.867127793433
6916.7515655982834
7021.4437693692230
7120.6974630812794
7221.3183210611272
7324.0019345695498
7424.7991840079771
7522.1667598959838
7626.3343789736007
7741.7485457345893
7849.1853350459952
7956.1162166642157

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.81934053986603 \tabularnewline
2 & 3.4957116585897 \tabularnewline
3 & 3.63180395946697 \tabularnewline
4 & 4.33474336033865 \tabularnewline
5 & 5.22206855565876 \tabularnewline
6 & 5.60267793113257 \tabularnewline
7 & 5.74512072532152 \tabularnewline
8 & 5.80896927782118 \tabularnewline
9 & 6.04648658313239 \tabularnewline
10 & 6.107372593841 \tabularnewline
11 & 6.45368112010501 \tabularnewline
12 & 6.68318991623895 \tabularnewline
13 & 6.70856395188957 \tabularnewline
14 & 6.81102048154313 \tabularnewline
15 & 6.83260979020074 \tabularnewline
16 & 6.8622153857191 \tabularnewline
17 & 6.9570635694692 \tabularnewline
18 & 7.01284535691469 \tabularnewline
19 & 7.4083140899238 \tabularnewline
20 & 7.57343886962343 \tabularnewline
21 & 7.96271809360783 \tabularnewline
22 & 7.70067939697619 \tabularnewline
23 & 7.74391660490514 \tabularnewline
24 & 8.08577866488946 \tabularnewline
25 & 8.29095893126965 \tabularnewline
26 & 7.51037217573801 \tabularnewline
27 & 7.94376386896572 \tabularnewline
28 & 7.49156230923087 \tabularnewline
29 & 8.39521515116436 \tabularnewline
30 & 8.61961785807173 \tabularnewline
31 & 8.85607136375944 \tabularnewline
32 & 8.88675723499887 \tabularnewline
33 & 8.8336632419453 \tabularnewline
34 & 8.91976550282563 \tabularnewline
35 & 8.21826678172368 \tabularnewline
36 & 8.59385614668311 \tabularnewline
37 & 9.06587006304414 \tabularnewline
38 & 9.07634287585039 \tabularnewline
39 & 9.21848623328527 \tabularnewline
40 & 9.29070268016596 \tabularnewline
41 & 9.0290314497483 \tabularnewline
42 & 9.38657694801817 \tabularnewline
43 & 9.66436754267965 \tabularnewline
44 & 9.88155467921738 \tabularnewline
45 & 9.22074492388363 \tabularnewline
46 & 10.3614670775909 \tabularnewline
47 & 9.0145275409285 \tabularnewline
48 & 8.92164046755097 \tabularnewline
49 & 10.7252559029533 \tabularnewline
50 & 11.0257465898430 \tabularnewline
51 & 11.1190299629814 \tabularnewline
52 & 11.3220627930350 \tabularnewline
53 & 11.5326938832682 \tabularnewline
54 & 11.9829738307730 \tabularnewline
55 & 12.9772900194014 \tabularnewline
56 & 10.7200986181489 \tabularnewline
57 & 13.1374055311728 \tabularnewline
58 & 13.2018424987335 \tabularnewline
59 & 13.2292277162367 \tabularnewline
60 & 13.5952321659580 \tabularnewline
61 & 14.1296382069122 \tabularnewline
62 & 15.2849599279815 \tabularnewline
63 & 15.3049958376085 \tabularnewline
64 & 16.5753917415342 \tabularnewline
65 & 13.8608601027515 \tabularnewline
66 & 16.7485198699959 \tabularnewline
67 & 16.5514915500870 \tabularnewline
68 & 16.867127793433 \tabularnewline
69 & 16.7515655982834 \tabularnewline
70 & 21.4437693692230 \tabularnewline
71 & 20.6974630812794 \tabularnewline
72 & 21.3183210611272 \tabularnewline
73 & 24.0019345695498 \tabularnewline
74 & 24.7991840079771 \tabularnewline
75 & 22.1667598959838 \tabularnewline
76 & 26.3343789736007 \tabularnewline
77 & 41.7485457345893 \tabularnewline
78 & 49.1853350459952 \tabularnewline
79 & 56.1162166642157 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=360&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.81934053986603[/C][/ROW]
[ROW][C]2[/C][C]3.4957116585897[/C][/ROW]
[ROW][C]3[/C][C]3.63180395946697[/C][/ROW]
[ROW][C]4[/C][C]4.33474336033865[/C][/ROW]
[ROW][C]5[/C][C]5.22206855565876[/C][/ROW]
[ROW][C]6[/C][C]5.60267793113257[/C][/ROW]
[ROW][C]7[/C][C]5.74512072532152[/C][/ROW]
[ROW][C]8[/C][C]5.80896927782118[/C][/ROW]
[ROW][C]9[/C][C]6.04648658313239[/C][/ROW]
[ROW][C]10[/C][C]6.107372593841[/C][/ROW]
[ROW][C]11[/C][C]6.45368112010501[/C][/ROW]
[ROW][C]12[/C][C]6.68318991623895[/C][/ROW]
[ROW][C]13[/C][C]6.70856395188957[/C][/ROW]
[ROW][C]14[/C][C]6.81102048154313[/C][/ROW]
[ROW][C]15[/C][C]6.83260979020074[/C][/ROW]
[ROW][C]16[/C][C]6.8622153857191[/C][/ROW]
[ROW][C]17[/C][C]6.9570635694692[/C][/ROW]
[ROW][C]18[/C][C]7.01284535691469[/C][/ROW]
[ROW][C]19[/C][C]7.4083140899238[/C][/ROW]
[ROW][C]20[/C][C]7.57343886962343[/C][/ROW]
[ROW][C]21[/C][C]7.96271809360783[/C][/ROW]
[ROW][C]22[/C][C]7.70067939697619[/C][/ROW]
[ROW][C]23[/C][C]7.74391660490514[/C][/ROW]
[ROW][C]24[/C][C]8.08577866488946[/C][/ROW]
[ROW][C]25[/C][C]8.29095893126965[/C][/ROW]
[ROW][C]26[/C][C]7.51037217573801[/C][/ROW]
[ROW][C]27[/C][C]7.94376386896572[/C][/ROW]
[ROW][C]28[/C][C]7.49156230923087[/C][/ROW]
[ROW][C]29[/C][C]8.39521515116436[/C][/ROW]
[ROW][C]30[/C][C]8.61961785807173[/C][/ROW]
[ROW][C]31[/C][C]8.85607136375944[/C][/ROW]
[ROW][C]32[/C][C]8.88675723499887[/C][/ROW]
[ROW][C]33[/C][C]8.8336632419453[/C][/ROW]
[ROW][C]34[/C][C]8.91976550282563[/C][/ROW]
[ROW][C]35[/C][C]8.21826678172368[/C][/ROW]
[ROW][C]36[/C][C]8.59385614668311[/C][/ROW]
[ROW][C]37[/C][C]9.06587006304414[/C][/ROW]
[ROW][C]38[/C][C]9.07634287585039[/C][/ROW]
[ROW][C]39[/C][C]9.21848623328527[/C][/ROW]
[ROW][C]40[/C][C]9.29070268016596[/C][/ROW]
[ROW][C]41[/C][C]9.0290314497483[/C][/ROW]
[ROW][C]42[/C][C]9.38657694801817[/C][/ROW]
[ROW][C]43[/C][C]9.66436754267965[/C][/ROW]
[ROW][C]44[/C][C]9.88155467921738[/C][/ROW]
[ROW][C]45[/C][C]9.22074492388363[/C][/ROW]
[ROW][C]46[/C][C]10.3614670775909[/C][/ROW]
[ROW][C]47[/C][C]9.0145275409285[/C][/ROW]
[ROW][C]48[/C][C]8.92164046755097[/C][/ROW]
[ROW][C]49[/C][C]10.7252559029533[/C][/ROW]
[ROW][C]50[/C][C]11.0257465898430[/C][/ROW]
[ROW][C]51[/C][C]11.1190299629814[/C][/ROW]
[ROW][C]52[/C][C]11.3220627930350[/C][/ROW]
[ROW][C]53[/C][C]11.5326938832682[/C][/ROW]
[ROW][C]54[/C][C]11.9829738307730[/C][/ROW]
[ROW][C]55[/C][C]12.9772900194014[/C][/ROW]
[ROW][C]56[/C][C]10.7200986181489[/C][/ROW]
[ROW][C]57[/C][C]13.1374055311728[/C][/ROW]
[ROW][C]58[/C][C]13.2018424987335[/C][/ROW]
[ROW][C]59[/C][C]13.2292277162367[/C][/ROW]
[ROW][C]60[/C][C]13.5952321659580[/C][/ROW]
[ROW][C]61[/C][C]14.1296382069122[/C][/ROW]
[ROW][C]62[/C][C]15.2849599279815[/C][/ROW]
[ROW][C]63[/C][C]15.3049958376085[/C][/ROW]
[ROW][C]64[/C][C]16.5753917415342[/C][/ROW]
[ROW][C]65[/C][C]13.8608601027515[/C][/ROW]
[ROW][C]66[/C][C]16.7485198699959[/C][/ROW]
[ROW][C]67[/C][C]16.5514915500870[/C][/ROW]
[ROW][C]68[/C][C]16.867127793433[/C][/ROW]
[ROW][C]69[/C][C]16.7515655982834[/C][/ROW]
[ROW][C]70[/C][C]21.4437693692230[/C][/ROW]
[ROW][C]71[/C][C]20.6974630812794[/C][/ROW]
[ROW][C]72[/C][C]21.3183210611272[/C][/ROW]
[ROW][C]73[/C][C]24.0019345695498[/C][/ROW]
[ROW][C]74[/C][C]24.7991840079771[/C][/ROW]
[ROW][C]75[/C][C]22.1667598959838[/C][/ROW]
[ROW][C]76[/C][C]26.3343789736007[/C][/ROW]
[ROW][C]77[/C][C]41.7485457345893[/C][/ROW]
[ROW][C]78[/C][C]49.1853350459952[/C][/ROW]
[ROW][C]79[/C][C]56.1162166642157[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=360&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=360&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
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
75.74512072532152
85.80896927782118
96.04648658313239
106.107372593841
116.45368112010501
126.68318991623895
136.70856395188957
146.81102048154313
156.83260979020074
166.8622153857191
176.9570635694692
187.01284535691469
197.4083140899238
207.57343886962343
217.96271809360783
227.70067939697619
237.74391660490514
248.08577866488946
258.29095893126965
267.51037217573801
277.94376386896572
287.49156230923087
298.39521515116436
308.61961785807173
318.85607136375944
328.88675723499887
338.8336632419453
348.91976550282563
358.21826678172368
368.59385614668311
379.06587006304414
389.07634287585039
399.21848623328527
409.29070268016596
419.0290314497483
429.38657694801817
439.66436754267965
449.88155467921738
459.22074492388363
4610.3614670775909
479.0145275409285
488.92164046755097
4910.7252559029533
5011.0257465898430
5111.1190299629814
5211.3220627930350
5311.5326938832682
5411.9829738307730
5512.9772900194014
5610.7200986181489
5713.1374055311728
5813.2018424987335
5913.2292277162367
6013.5952321659580
6114.1296382069122
6215.2849599279815
6315.3049958376085
6416.5753917415342
6513.8608601027515
6616.7485198699959
6716.5514915500870
6816.867127793433
6916.7515655982834
7021.4437693692230
7120.6974630812794
7221.3183210611272
7324.0019345695498
7424.7991840079771
7522.1667598959838
7626.3343789736007
7741.7485457345893
7849.1853350459952
7956.1162166642157



Parameters (Session):
par1 = centroid ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = centroid ; 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')
}