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 03:00:59 -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/jf9f0bwcjbbdfn61194170363.htm/, Retrieved Sun, 05 May 2024 12:37:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=324, Retrieved Sun, 05 May 2024 12:37:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2 McQuitty method
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 10:00:59] [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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001

\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 & 3 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ 193.190.124.10:1001 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=324&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]3 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=324&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=324&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 time3 seconds
R Server'Herman Ole Andreas Wold' @ 193.190.124.10:1001







Summary of Dendrogram
LabelHeight
11.81934053986603
23.4957116585897
33.63180395946697
44.33474336033865
55.22206855565876
65.60267793113257
76
86.04648658313239
96.107372593841
106.45368112010501
116.65307171518826
126.81102048154313
136.8622153857191
147.0128453569147
157.71686464828818
167.79224979197423
178.29095893126965
188.53536491058652
198.54934733822503
208.85607136375944
219.06587006304414
229.0763428758504
239.16152542915247
249.24820586402077
259.66436754267965
269.78407423951499
2710.2768202186218
2810.3352393878776
2910.3614670775909
3010.5240033722000
3110.8023243259491
3210.8552853577552
3310.9134200964784
3410.9737386581495
3511.2120807487957
3611.4635844628244
3711.9050409491106
3812.0660681251185
3912.0878864468663
4012.2131065595243
4112.3211200789539
4212.3482617442458
4312.7960872940759
4413.4925905592662
4513.7138757967634
4614.0088727562624
4714.3136470391841
4814.4466335544222
4914.7498621014623
5015.2849599279815
5115.6665695411887
5215.7076414524906
5315.9541016416365
5416.4820643158693
5516.5669240339239
5616.6374809776430
5716.867127793433
5818.0826863603394
5918.7760575346471
6019.6252587847289
6120.9466226852032
6221.1855965364901
6321.7918310026535
6422.0297523151817
6524.1147935165353
6624.2179479152118
6726.5379765883438
6826.9292025445292
6927.8398302496324
7030.8140712187647
7131.0364847018588
7231.1609745493824
7331.3004124817918
7435.9382059392606
7538.974190104474
7640.8934083389059
7749.8993588665726
7855.5461443528591
7980.4379909125861

\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 & 6 \tabularnewline
8 & 6.04648658313239 \tabularnewline
9 & 6.107372593841 \tabularnewline
10 & 6.45368112010501 \tabularnewline
11 & 6.65307171518826 \tabularnewline
12 & 6.81102048154313 \tabularnewline
13 & 6.8622153857191 \tabularnewline
14 & 7.0128453569147 \tabularnewline
15 & 7.71686464828818 \tabularnewline
16 & 7.79224979197423 \tabularnewline
17 & 8.29095893126965 \tabularnewline
18 & 8.53536491058652 \tabularnewline
19 & 8.54934733822503 \tabularnewline
20 & 8.85607136375944 \tabularnewline
21 & 9.06587006304414 \tabularnewline
22 & 9.0763428758504 \tabularnewline
23 & 9.16152542915247 \tabularnewline
24 & 9.24820586402077 \tabularnewline
25 & 9.66436754267965 \tabularnewline
26 & 9.78407423951499 \tabularnewline
27 & 10.2768202186218 \tabularnewline
28 & 10.3352393878776 \tabularnewline
29 & 10.3614670775909 \tabularnewline
30 & 10.5240033722000 \tabularnewline
31 & 10.8023243259491 \tabularnewline
32 & 10.8552853577552 \tabularnewline
33 & 10.9134200964784 \tabularnewline
34 & 10.9737386581495 \tabularnewline
35 & 11.2120807487957 \tabularnewline
36 & 11.4635844628244 \tabularnewline
37 & 11.9050409491106 \tabularnewline
38 & 12.0660681251185 \tabularnewline
39 & 12.0878864468663 \tabularnewline
40 & 12.2131065595243 \tabularnewline
41 & 12.3211200789539 \tabularnewline
42 & 12.3482617442458 \tabularnewline
43 & 12.7960872940759 \tabularnewline
44 & 13.4925905592662 \tabularnewline
45 & 13.7138757967634 \tabularnewline
46 & 14.0088727562624 \tabularnewline
47 & 14.3136470391841 \tabularnewline
48 & 14.4466335544222 \tabularnewline
49 & 14.7498621014623 \tabularnewline
50 & 15.2849599279815 \tabularnewline
51 & 15.6665695411887 \tabularnewline
52 & 15.7076414524906 \tabularnewline
53 & 15.9541016416365 \tabularnewline
54 & 16.4820643158693 \tabularnewline
55 & 16.5669240339239 \tabularnewline
56 & 16.6374809776430 \tabularnewline
57 & 16.867127793433 \tabularnewline
58 & 18.0826863603394 \tabularnewline
59 & 18.7760575346471 \tabularnewline
60 & 19.6252587847289 \tabularnewline
61 & 20.9466226852032 \tabularnewline
62 & 21.1855965364901 \tabularnewline
63 & 21.7918310026535 \tabularnewline
64 & 22.0297523151817 \tabularnewline
65 & 24.1147935165353 \tabularnewline
66 & 24.2179479152118 \tabularnewline
67 & 26.5379765883438 \tabularnewline
68 & 26.9292025445292 \tabularnewline
69 & 27.8398302496324 \tabularnewline
70 & 30.8140712187647 \tabularnewline
71 & 31.0364847018588 \tabularnewline
72 & 31.1609745493824 \tabularnewline
73 & 31.3004124817918 \tabularnewline
74 & 35.9382059392606 \tabularnewline
75 & 38.974190104474 \tabularnewline
76 & 40.8934083389059 \tabularnewline
77 & 49.8993588665726 \tabularnewline
78 & 55.5461443528591 \tabularnewline
79 & 80.4379909125861 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=324&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]6[/C][/ROW]
[ROW][C]8[/C][C]6.04648658313239[/C][/ROW]
[ROW][C]9[/C][C]6.107372593841[/C][/ROW]
[ROW][C]10[/C][C]6.45368112010501[/C][/ROW]
[ROW][C]11[/C][C]6.65307171518826[/C][/ROW]
[ROW][C]12[/C][C]6.81102048154313[/C][/ROW]
[ROW][C]13[/C][C]6.8622153857191[/C][/ROW]
[ROW][C]14[/C][C]7.0128453569147[/C][/ROW]
[ROW][C]15[/C][C]7.71686464828818[/C][/ROW]
[ROW][C]16[/C][C]7.79224979197423[/C][/ROW]
[ROW][C]17[/C][C]8.29095893126965[/C][/ROW]
[ROW][C]18[/C][C]8.53536491058652[/C][/ROW]
[ROW][C]19[/C][C]8.54934733822503[/C][/ROW]
[ROW][C]20[/C][C]8.85607136375944[/C][/ROW]
[ROW][C]21[/C][C]9.06587006304414[/C][/ROW]
[ROW][C]22[/C][C]9.0763428758504[/C][/ROW]
[ROW][C]23[/C][C]9.16152542915247[/C][/ROW]
[ROW][C]24[/C][C]9.24820586402077[/C][/ROW]
[ROW][C]25[/C][C]9.66436754267965[/C][/ROW]
[ROW][C]26[/C][C]9.78407423951499[/C][/ROW]
[ROW][C]27[/C][C]10.2768202186218[/C][/ROW]
[ROW][C]28[/C][C]10.3352393878776[/C][/ROW]
[ROW][C]29[/C][C]10.3614670775909[/C][/ROW]
[ROW][C]30[/C][C]10.5240033722000[/C][/ROW]
[ROW][C]31[/C][C]10.8023243259491[/C][/ROW]
[ROW][C]32[/C][C]10.8552853577552[/C][/ROW]
[ROW][C]33[/C][C]10.9134200964784[/C][/ROW]
[ROW][C]34[/C][C]10.9737386581495[/C][/ROW]
[ROW][C]35[/C][C]11.2120807487957[/C][/ROW]
[ROW][C]36[/C][C]11.4635844628244[/C][/ROW]
[ROW][C]37[/C][C]11.9050409491106[/C][/ROW]
[ROW][C]38[/C][C]12.0660681251185[/C][/ROW]
[ROW][C]39[/C][C]12.0878864468663[/C][/ROW]
[ROW][C]40[/C][C]12.2131065595243[/C][/ROW]
[ROW][C]41[/C][C]12.3211200789539[/C][/ROW]
[ROW][C]42[/C][C]12.3482617442458[/C][/ROW]
[ROW][C]43[/C][C]12.7960872940759[/C][/ROW]
[ROW][C]44[/C][C]13.4925905592662[/C][/ROW]
[ROW][C]45[/C][C]13.7138757967634[/C][/ROW]
[ROW][C]46[/C][C]14.0088727562624[/C][/ROW]
[ROW][C]47[/C][C]14.3136470391841[/C][/ROW]
[ROW][C]48[/C][C]14.4466335544222[/C][/ROW]
[ROW][C]49[/C][C]14.7498621014623[/C][/ROW]
[ROW][C]50[/C][C]15.2849599279815[/C][/ROW]
[ROW][C]51[/C][C]15.6665695411887[/C][/ROW]
[ROW][C]52[/C][C]15.7076414524906[/C][/ROW]
[ROW][C]53[/C][C]15.9541016416365[/C][/ROW]
[ROW][C]54[/C][C]16.4820643158693[/C][/ROW]
[ROW][C]55[/C][C]16.5669240339239[/C][/ROW]
[ROW][C]56[/C][C]16.6374809776430[/C][/ROW]
[ROW][C]57[/C][C]16.867127793433[/C][/ROW]
[ROW][C]58[/C][C]18.0826863603394[/C][/ROW]
[ROW][C]59[/C][C]18.7760575346471[/C][/ROW]
[ROW][C]60[/C][C]19.6252587847289[/C][/ROW]
[ROW][C]61[/C][C]20.9466226852032[/C][/ROW]
[ROW][C]62[/C][C]21.1855965364901[/C][/ROW]
[ROW][C]63[/C][C]21.7918310026535[/C][/ROW]
[ROW][C]64[/C][C]22.0297523151817[/C][/ROW]
[ROW][C]65[/C][C]24.1147935165353[/C][/ROW]
[ROW][C]66[/C][C]24.2179479152118[/C][/ROW]
[ROW][C]67[/C][C]26.5379765883438[/C][/ROW]
[ROW][C]68[/C][C]26.9292025445292[/C][/ROW]
[ROW][C]69[/C][C]27.8398302496324[/C][/ROW]
[ROW][C]70[/C][C]30.8140712187647[/C][/ROW]
[ROW][C]71[/C][C]31.0364847018588[/C][/ROW]
[ROW][C]72[/C][C]31.1609745493824[/C][/ROW]
[ROW][C]73[/C][C]31.3004124817918[/C][/ROW]
[ROW][C]74[/C][C]35.9382059392606[/C][/ROW]
[ROW][C]75[/C][C]38.974190104474[/C][/ROW]
[ROW][C]76[/C][C]40.8934083389059[/C][/ROW]
[ROW][C]77[/C][C]49.8993588665726[/C][/ROW]
[ROW][C]78[/C][C]55.5461443528591[/C][/ROW]
[ROW][C]79[/C][C]80.4379909125861[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=324&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=324&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
76
86.04648658313239
96.107372593841
106.45368112010501
116.65307171518826
126.81102048154313
136.8622153857191
147.0128453569147
157.71686464828818
167.79224979197423
178.29095893126965
188.53536491058652
198.54934733822503
208.85607136375944
219.06587006304414
229.0763428758504
239.16152542915247
249.24820586402077
259.66436754267965
269.78407423951499
2710.2768202186218
2810.3352393878776
2910.3614670775909
3010.5240033722000
3110.8023243259491
3210.8552853577552
3310.9134200964784
3410.9737386581495
3511.2120807487957
3611.4635844628244
3711.9050409491106
3812.0660681251185
3912.0878864468663
4012.2131065595243
4112.3211200789539
4212.3482617442458
4312.7960872940759
4413.4925905592662
4513.7138757967634
4614.0088727562624
4714.3136470391841
4814.4466335544222
4914.7498621014623
5015.2849599279815
5115.6665695411887
5215.7076414524906
5315.9541016416365
5416.4820643158693
5516.5669240339239
5616.6374809776430
5716.867127793433
5818.0826863603394
5918.7760575346471
6019.6252587847289
6120.9466226852032
6221.1855965364901
6321.7918310026535
6422.0297523151817
6524.1147935165353
6624.2179479152118
6726.5379765883438
6826.9292025445292
6927.8398302496324
7030.8140712187647
7131.0364847018588
7231.1609745493824
7331.3004124817918
7435.9382059392606
7538.974190104474
7640.8934083389059
7749.8993588665726
7855.5461443528591
7980.4379909125861



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