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 02:58:35 -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/t9lusx4lpxqmovm1194170254.htm/, Retrieved Sun, 05 May 2024 09:26:45 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=359, Retrieved Sun, 05 May 2024 09:26:45 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsQ2 Average method
Estimated Impact188
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 09:58:35] [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=359&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=359&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=359&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
76
86.04648658313239
96.107372593841
106.45368112010501
116.65307171518826
126.81102048154313
136.8622153857191
147.01284535691469
157.71686464828818
167.79224979197423
178.29095893126965
188.53536491058652
198.54934733822503
208.85607136375944
219.06587006304414
229.07634287585039
239.16152542915247
249.24820586402077
259.66436754267965
269.78407423951499
2710.2768202186218
2810.3614670775909
2910.4934767274156
3010.5240033722000
3110.8023243259491
3210.8207028470378
3310.9134200964784
3411.0035207123062
3511.028341938512
3611.6805505127767
3711.8214497038615
3811.9050409491106
3912.0660681251185
4012.1013798091961
4112.3211200789539
4212.7960872940759
4313.4925905592662
4413.521855814108
4513.5552422654116
4613.6471718125107
4713.8713618260873
4814.3893216315851
4914.5860555258083
5014.6364953040235
5115.2849599279815
5215.4116114581087
5315.7076414524906
5415.9276708365762
5516.0003889381927
5616.6905870560931
5716.867127793433
5817.1777009237376
5918.0812672930959
6018.0826863603394
6118.2427119390037
6219.6328005933232
6321.8746900591820
6422.058905609594
6523.1040882766312
6623.5561968002172
6724.3932028969486
6826.5379765883438
6926.6863336551662
7028.2790986002908
7129.4936610150478
7230.1725727574364
7333.2012570156019
7436.5277669948092
7536.7888819154980
7642.3089801689107
7744.6293643873411
7846.1523773536167
7954.7487303955624

\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 & 7.01284535691469 \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 & 9.07634287585039 \tabularnewline
23 & 9.16152542915247 \tabularnewline
24 & 9.24820586402077 \tabularnewline
25 & 9.66436754267965 \tabularnewline
26 & 9.78407423951499 \tabularnewline
27 & 10.2768202186218 \tabularnewline
28 & 10.3614670775909 \tabularnewline
29 & 10.4934767274156 \tabularnewline
30 & 10.5240033722000 \tabularnewline
31 & 10.8023243259491 \tabularnewline
32 & 10.8207028470378 \tabularnewline
33 & 10.9134200964784 \tabularnewline
34 & 11.0035207123062 \tabularnewline
35 & 11.028341938512 \tabularnewline
36 & 11.6805505127767 \tabularnewline
37 & 11.8214497038615 \tabularnewline
38 & 11.9050409491106 \tabularnewline
39 & 12.0660681251185 \tabularnewline
40 & 12.1013798091961 \tabularnewline
41 & 12.3211200789539 \tabularnewline
42 & 12.7960872940759 \tabularnewline
43 & 13.4925905592662 \tabularnewline
44 & 13.521855814108 \tabularnewline
45 & 13.5552422654116 \tabularnewline
46 & 13.6471718125107 \tabularnewline
47 & 13.8713618260873 \tabularnewline
48 & 14.3893216315851 \tabularnewline
49 & 14.5860555258083 \tabularnewline
50 & 14.6364953040235 \tabularnewline
51 & 15.2849599279815 \tabularnewline
52 & 15.4116114581087 \tabularnewline
53 & 15.7076414524906 \tabularnewline
54 & 15.9276708365762 \tabularnewline
55 & 16.0003889381927 \tabularnewline
56 & 16.6905870560931 \tabularnewline
57 & 16.867127793433 \tabularnewline
58 & 17.1777009237376 \tabularnewline
59 & 18.0812672930959 \tabularnewline
60 & 18.0826863603394 \tabularnewline
61 & 18.2427119390037 \tabularnewline
62 & 19.6328005933232 \tabularnewline
63 & 21.8746900591820 \tabularnewline
64 & 22.058905609594 \tabularnewline
65 & 23.1040882766312 \tabularnewline
66 & 23.5561968002172 \tabularnewline
67 & 24.3932028969486 \tabularnewline
68 & 26.5379765883438 \tabularnewline
69 & 26.6863336551662 \tabularnewline
70 & 28.2790986002908 \tabularnewline
71 & 29.4936610150478 \tabularnewline
72 & 30.1725727574364 \tabularnewline
73 & 33.2012570156019 \tabularnewline
74 & 36.5277669948092 \tabularnewline
75 & 36.7888819154980 \tabularnewline
76 & 42.3089801689107 \tabularnewline
77 & 44.6293643873411 \tabularnewline
78 & 46.1523773536167 \tabularnewline
79 & 54.7487303955624 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=359&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]7.01284535691469[/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]9.07634287585039[/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]10.3614670775909[/C][/ROW]
[ROW][C]29[/C][C]10.4934767274156[/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]10.8207028470378[/C][/ROW]
[ROW][C]33[/C][C]10.9134200964784[/C][/ROW]
[ROW][C]34[/C][C]11.0035207123062[/C][/ROW]
[ROW][C]35[/C][C]11.028341938512[/C][/ROW]
[ROW][C]36[/C][C]11.6805505127767[/C][/ROW]
[ROW][C]37[/C][C]11.8214497038615[/C][/ROW]
[ROW][C]38[/C][C]11.9050409491106[/C][/ROW]
[ROW][C]39[/C][C]12.0660681251185[/C][/ROW]
[ROW][C]40[/C][C]12.1013798091961[/C][/ROW]
[ROW][C]41[/C][C]12.3211200789539[/C][/ROW]
[ROW][C]42[/C][C]12.7960872940759[/C][/ROW]
[ROW][C]43[/C][C]13.4925905592662[/C][/ROW]
[ROW][C]44[/C][C]13.521855814108[/C][/ROW]
[ROW][C]45[/C][C]13.5552422654116[/C][/ROW]
[ROW][C]46[/C][C]13.6471718125107[/C][/ROW]
[ROW][C]47[/C][C]13.8713618260873[/C][/ROW]
[ROW][C]48[/C][C]14.3893216315851[/C][/ROW]
[ROW][C]49[/C][C]14.5860555258083[/C][/ROW]
[ROW][C]50[/C][C]14.6364953040235[/C][/ROW]
[ROW][C]51[/C][C]15.2849599279815[/C][/ROW]
[ROW][C]52[/C][C]15.4116114581087[/C][/ROW]
[ROW][C]53[/C][C]15.7076414524906[/C][/ROW]
[ROW][C]54[/C][C]15.9276708365762[/C][/ROW]
[ROW][C]55[/C][C]16.0003889381927[/C][/ROW]
[ROW][C]56[/C][C]16.6905870560931[/C][/ROW]
[ROW][C]57[/C][C]16.867127793433[/C][/ROW]
[ROW][C]58[/C][C]17.1777009237376[/C][/ROW]
[ROW][C]59[/C][C]18.0812672930959[/C][/ROW]
[ROW][C]60[/C][C]18.0826863603394[/C][/ROW]
[ROW][C]61[/C][C]18.2427119390037[/C][/ROW]
[ROW][C]62[/C][C]19.6328005933232[/C][/ROW]
[ROW][C]63[/C][C]21.8746900591820[/C][/ROW]
[ROW][C]64[/C][C]22.058905609594[/C][/ROW]
[ROW][C]65[/C][C]23.1040882766312[/C][/ROW]
[ROW][C]66[/C][C]23.5561968002172[/C][/ROW]
[ROW][C]67[/C][C]24.3932028969486[/C][/ROW]
[ROW][C]68[/C][C]26.5379765883438[/C][/ROW]
[ROW][C]69[/C][C]26.6863336551662[/C][/ROW]
[ROW][C]70[/C][C]28.2790986002908[/C][/ROW]
[ROW][C]71[/C][C]29.4936610150478[/C][/ROW]
[ROW][C]72[/C][C]30.1725727574364[/C][/ROW]
[ROW][C]73[/C][C]33.2012570156019[/C][/ROW]
[ROW][C]74[/C][C]36.5277669948092[/C][/ROW]
[ROW][C]75[/C][C]36.7888819154980[/C][/ROW]
[ROW][C]76[/C][C]42.3089801689107[/C][/ROW]
[ROW][C]77[/C][C]44.6293643873411[/C][/ROW]
[ROW][C]78[/C][C]46.1523773536167[/C][/ROW]
[ROW][C]79[/C][C]54.7487303955624[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=359&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=359&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
147.01284535691469
157.71686464828818
167.79224979197423
178.29095893126965
188.53536491058652
198.54934733822503
208.85607136375944
219.06587006304414
229.07634287585039
239.16152542915247
249.24820586402077
259.66436754267965
269.78407423951499
2710.2768202186218
2810.3614670775909
2910.4934767274156
3010.5240033722000
3110.8023243259491
3210.8207028470378
3310.9134200964784
3411.0035207123062
3511.028341938512
3611.6805505127767
3711.8214497038615
3811.9050409491106
3912.0660681251185
4012.1013798091961
4112.3211200789539
4212.7960872940759
4313.4925905592662
4413.521855814108
4513.5552422654116
4613.6471718125107
4713.8713618260873
4814.3893216315851
4914.5860555258083
5014.6364953040235
5115.2849599279815
5215.4116114581087
5315.7076414524906
5415.9276708365762
5516.0003889381927
5616.6905870560931
5716.867127793433
5817.1777009237376
5918.0812672930959
6018.0826863603394
6118.2427119390037
6219.6328005933232
6321.8746900591820
6422.058905609594
6523.1040882766312
6623.5561968002172
6724.3932028969486
6826.5379765883438
6926.6863336551662
7028.2790986002908
7129.4936610150478
7230.1725727574364
7333.2012570156019
7436.5277669948092
7536.7888819154980
7642.3089801689107
7744.6293643873411
7846.1523773536167
7954.7487303955624



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