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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 05 Nov 2007 14:10:29 -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/05/5bu8xlts671kjg11194297116.htm/, Retrieved Mon, 29 Apr 2024 07:55:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=422, Retrieved Mon, 29 Apr 2024 07:55:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact246

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [dendrogram] [2007-11-05 21:10:29] [db8a46b0d17caf4a2f9ca9845a402581] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
97.3	93.5	93.5	124.9
101	94.7	94.7	132
113.2	112.9	112.9	151.4
101	99.2	99.2	108.9
105.7	105.6	105.6	121.3
113.9	113	113	123.4
86.4	83.1	83.1	90.3
96.5	81.1	81.1	79.3
103.3	96.9	96.9	117.2
114.9	104.3	104.3	116.9
105.8	97.7	97.7	120.8
94.2	102.6	102.6	96.1
98.4	89.9	89.9	100.8
99.4	96	96	105.3
108.8	112.7	112.7	116.1
112.6	107.1	107.1	112.8
104.4	106.2	106.2	114.5
112.2	121	121	117.2
81.1	101.2	101.2	77.1
97.1	83.2	83.2	80.1
112.6	105.1	105.1	120.3
113.8	113.3	113.3	133.4
107.8	99.1	99.1	109.4
103.2	100.3	100.3	93.2
103.3	93.5	93.5	91.2
101.2	98.8	98.8	99.2
107.7	106.2	106.2	108.2
110.4	98.3	98.3	101.5
101.9	102.1	102.1	106.9
115.9	117.1	117.1	104.4
89.9	101.5	101.5	77.9
88.6	80.5	80.5	60
117.2	105.9	105.9	99.5
123.9	109.5	109.5	95
100	97.2	97.2	105.6
103.6	114.5	114.5	102.5
94.1	93.5	93.5	93.3
98.7	100.9	100.9	97.3
119.5	121.1	121.1	127
112.7	116.5	116.5	111.7
104.4	109.3	109.3	96.4
124.7	118.1	118.1	133
89.1	108.3	108.3	72.2
97	105.4	105.4	95.8
121.6	116.2	116.2	124.1
118.8	111.2	111.2	127.6
114	105.8	105.8	110.7
111.5	122.7	122.7	104.6
97.2	99.5	99.5	112.7
102.5	107.9	107.9	115.3
113.4	124.6	124.6	139.4
109.8	115	115	119
104.9	110.3	110.3	97.4
126.1	132.7	132.7	154
80	99.7	99.7	81.5
96.8	96.5	96.5	88.8
117.2	118.7	118.7	127.7
112.3	112.9	112.9	105.1
117.3	130.5	130.5	114.9
111.1	137.9	137.9	106.4
102.2	115	115	104.5
104.3	116.8	116.8	121.6
122.9	140.9	140.9	141.4
107.6	120.7	120.7	99
121.3	134.2	134.2	126.7
131.5	147.3	147.3	134.1
89	112.4	112.4	81.3
104.4	107.1	107.1	88.6
128.9	128.4	128.4	132.7
135.9	137.7	137.7	132.9
133.3	135	135	134.4
121.3	151	151	103.7
120.5	137.4	137.4	119.7
120.4	132.4	132.4	115
137.9	161.3	161.3	132.9
126.1	139.8	139.8	108.5
133.2	146	146	113.9
146.6	154.6	154.6	142.9
103.4	142.1	142.1	95.2
117.2	120.5	120.5	93

Tables (Output of Computation)





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=422&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=422&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=422&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 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
11.80277563773199
21.82482875908947
32.54165300542776
43.12249899919920
53.13368792319849
63.16701752442263
74.10365690573665
84.15932686861707
94.25793377120875
104.32203655699487
114.47101778122163
124.52658811910250
134.65080638169338
144.85695377783234
154.85901224530255
165.00699510684802
176.67083203206317
186.7483331275212
196.84032162986506
206.93757882838096
216.98068764521088
227.38715100698503
237.53790421801711
247.68505042273633
257.79999999999999
268.1363382427232
278.18413098624405
288.37376856618334
299.1706052144883
309.43663075467087
319.54253635046783
329.8
339.90807751281752
3410.0094954917818
3510.7851750101702
3610.7907367681730
3710.8189648303338
3810.8374351209131
3911.1162043881893
4012.5079974416371
4112.9903810567666
4213.1468627436358
4313.2939836016147
4413.4996296245490
4513.5136967555144
4614.0185591271000
4714.4627106726229
4814.8327340702920
4914.9003355666911
5015.1990131258579
5115.2865954352171
5215.2973853975116
5316.1499226004337
5416.2932501361760
5516.7758755360190
5617.2325273828304
5717.3942519241271
5820.0902961650644
5920.4389334359697
6020.4406457823621
6123.7667835434246
6224.3156328315757
6324.5521893117498
6424.914654322306
6524.9595673039418
6629.1803015748638
6732.3191893462692
6833.0678091200491
6933.8252863993788
7037.914113467151
7140.0282400312579
7244.0159062158216
7347.3905053781873
7451.0383189378334
7554.7241263064108
7666.7385196119902
7777.943890074848
78104.431987436800
79145.664099901108

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.80277563773199 \tabularnewline
2 & 1.82482875908947 \tabularnewline
3 & 2.54165300542776 \tabularnewline
4 & 3.12249899919920 \tabularnewline
5 & 3.13368792319849 \tabularnewline
6 & 3.16701752442263 \tabularnewline
7 & 4.10365690573665 \tabularnewline
8 & 4.15932686861707 \tabularnewline
9 & 4.25793377120875 \tabularnewline
10 & 4.32203655699487 \tabularnewline
11 & 4.47101778122163 \tabularnewline
12 & 4.52658811910250 \tabularnewline
13 & 4.65080638169338 \tabularnewline
14 & 4.85695377783234 \tabularnewline
15 & 4.85901224530255 \tabularnewline
16 & 5.00699510684802 \tabularnewline
17 & 6.67083203206317 \tabularnewline
18 & 6.7483331275212 \tabularnewline
19 & 6.84032162986506 \tabularnewline
20 & 6.93757882838096 \tabularnewline
21 & 6.98068764521088 \tabularnewline
22 & 7.38715100698503 \tabularnewline
23 & 7.53790421801711 \tabularnewline
24 & 7.68505042273633 \tabularnewline
25 & 7.79999999999999 \tabularnewline
26 & 8.1363382427232 \tabularnewline
27 & 8.18413098624405 \tabularnewline
28 & 8.37376856618334 \tabularnewline
29 & 9.1706052144883 \tabularnewline
30 & 9.43663075467087 \tabularnewline
31 & 9.54253635046783 \tabularnewline
32 & 9.8 \tabularnewline
33 & 9.90807751281752 \tabularnewline
34 & 10.0094954917818 \tabularnewline
35 & 10.7851750101702 \tabularnewline
36 & 10.7907367681730 \tabularnewline
37 & 10.8189648303338 \tabularnewline
38 & 10.8374351209131 \tabularnewline
39 & 11.1162043881893 \tabularnewline
40 & 12.5079974416371 \tabularnewline
41 & 12.9903810567666 \tabularnewline
42 & 13.1468627436358 \tabularnewline
43 & 13.2939836016147 \tabularnewline
44 & 13.4996296245490 \tabularnewline
45 & 13.5136967555144 \tabularnewline
46 & 14.0185591271000 \tabularnewline
47 & 14.4627106726229 \tabularnewline
48 & 14.8327340702920 \tabularnewline
49 & 14.9003355666911 \tabularnewline
50 & 15.1990131258579 \tabularnewline
51 & 15.2865954352171 \tabularnewline
52 & 15.2973853975116 \tabularnewline
53 & 16.1499226004337 \tabularnewline
54 & 16.2932501361760 \tabularnewline
55 & 16.7758755360190 \tabularnewline
56 & 17.2325273828304 \tabularnewline
57 & 17.3942519241271 \tabularnewline
58 & 20.0902961650644 \tabularnewline
59 & 20.4389334359697 \tabularnewline
60 & 20.4406457823621 \tabularnewline
61 & 23.7667835434246 \tabularnewline
62 & 24.3156328315757 \tabularnewline
63 & 24.5521893117498 \tabularnewline
64 & 24.914654322306 \tabularnewline
65 & 24.9595673039418 \tabularnewline
66 & 29.1803015748638 \tabularnewline
67 & 32.3191893462692 \tabularnewline
68 & 33.0678091200491 \tabularnewline
69 & 33.8252863993788 \tabularnewline
70 & 37.914113467151 \tabularnewline
71 & 40.0282400312579 \tabularnewline
72 & 44.0159062158216 \tabularnewline
73 & 47.3905053781873 \tabularnewline
74 & 51.0383189378334 \tabularnewline
75 & 54.7241263064108 \tabularnewline
76 & 66.7385196119902 \tabularnewline
77 & 77.943890074848 \tabularnewline
78 & 104.431987436800 \tabularnewline
79 & 145.664099901108 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=422&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.80277563773199[/C][/ROW]
[ROW][C]2[/C][C]1.82482875908947[/C][/ROW]
[ROW][C]3[/C][C]2.54165300542776[/C][/ROW]
[ROW][C]4[/C][C]3.12249899919920[/C][/ROW]
[ROW][C]5[/C][C]3.13368792319849[/C][/ROW]
[ROW][C]6[/C][C]3.16701752442263[/C][/ROW]
[ROW][C]7[/C][C]4.10365690573665[/C][/ROW]
[ROW][C]8[/C][C]4.15932686861707[/C][/ROW]
[ROW][C]9[/C][C]4.25793377120875[/C][/ROW]
[ROW][C]10[/C][C]4.32203655699487[/C][/ROW]
[ROW][C]11[/C][C]4.47101778122163[/C][/ROW]
[ROW][C]12[/C][C]4.52658811910250[/C][/ROW]
[ROW][C]13[/C][C]4.65080638169338[/C][/ROW]
[ROW][C]14[/C][C]4.85695377783234[/C][/ROW]
[ROW][C]15[/C][C]4.85901224530255[/C][/ROW]
[ROW][C]16[/C][C]5.00699510684802[/C][/ROW]
[ROW][C]17[/C][C]6.67083203206317[/C][/ROW]
[ROW][C]18[/C][C]6.7483331275212[/C][/ROW]
[ROW][C]19[/C][C]6.84032162986506[/C][/ROW]
[ROW][C]20[/C][C]6.93757882838096[/C][/ROW]
[ROW][C]21[/C][C]6.98068764521088[/C][/ROW]
[ROW][C]22[/C][C]7.38715100698503[/C][/ROW]
[ROW][C]23[/C][C]7.53790421801711[/C][/ROW]
[ROW][C]24[/C][C]7.68505042273633[/C][/ROW]
[ROW][C]25[/C][C]7.79999999999999[/C][/ROW]
[ROW][C]26[/C][C]8.1363382427232[/C][/ROW]
[ROW][C]27[/C][C]8.18413098624405[/C][/ROW]
[ROW][C]28[/C][C]8.37376856618334[/C][/ROW]
[ROW][C]29[/C][C]9.1706052144883[/C][/ROW]
[ROW][C]30[/C][C]9.43663075467087[/C][/ROW]
[ROW][C]31[/C][C]9.54253635046783[/C][/ROW]
[ROW][C]32[/C][C]9.8[/C][/ROW]
[ROW][C]33[/C][C]9.90807751281752[/C][/ROW]
[ROW][C]34[/C][C]10.0094954917818[/C][/ROW]
[ROW][C]35[/C][C]10.7851750101702[/C][/ROW]
[ROW][C]36[/C][C]10.7907367681730[/C][/ROW]
[ROW][C]37[/C][C]10.8189648303338[/C][/ROW]
[ROW][C]38[/C][C]10.8374351209131[/C][/ROW]
[ROW][C]39[/C][C]11.1162043881893[/C][/ROW]
[ROW][C]40[/C][C]12.5079974416371[/C][/ROW]
[ROW][C]41[/C][C]12.9903810567666[/C][/ROW]
[ROW][C]42[/C][C]13.1468627436358[/C][/ROW]
[ROW][C]43[/C][C]13.2939836016147[/C][/ROW]
[ROW][C]44[/C][C]13.4996296245490[/C][/ROW]
[ROW][C]45[/C][C]13.5136967555144[/C][/ROW]
[ROW][C]46[/C][C]14.0185591271000[/C][/ROW]
[ROW][C]47[/C][C]14.4627106726229[/C][/ROW]
[ROW][C]48[/C][C]14.8327340702920[/C][/ROW]
[ROW][C]49[/C][C]14.9003355666911[/C][/ROW]
[ROW][C]50[/C][C]15.1990131258579[/C][/ROW]
[ROW][C]51[/C][C]15.2865954352171[/C][/ROW]
[ROW][C]52[/C][C]15.2973853975116[/C][/ROW]
[ROW][C]53[/C][C]16.1499226004337[/C][/ROW]
[ROW][C]54[/C][C]16.2932501361760[/C][/ROW]
[ROW][C]55[/C][C]16.7758755360190[/C][/ROW]
[ROW][C]56[/C][C]17.2325273828304[/C][/ROW]
[ROW][C]57[/C][C]17.3942519241271[/C][/ROW]
[ROW][C]58[/C][C]20.0902961650644[/C][/ROW]
[ROW][C]59[/C][C]20.4389334359697[/C][/ROW]
[ROW][C]60[/C][C]20.4406457823621[/C][/ROW]
[ROW][C]61[/C][C]23.7667835434246[/C][/ROW]
[ROW][C]62[/C][C]24.3156328315757[/C][/ROW]
[ROW][C]63[/C][C]24.5521893117498[/C][/ROW]
[ROW][C]64[/C][C]24.914654322306[/C][/ROW]
[ROW][C]65[/C][C]24.9595673039418[/C][/ROW]
[ROW][C]66[/C][C]29.1803015748638[/C][/ROW]
[ROW][C]67[/C][C]32.3191893462692[/C][/ROW]
[ROW][C]68[/C][C]33.0678091200491[/C][/ROW]
[ROW][C]69[/C][C]33.8252863993788[/C][/ROW]
[ROW][C]70[/C][C]37.914113467151[/C][/ROW]
[ROW][C]71[/C][C]40.0282400312579[/C][/ROW]
[ROW][C]72[/C][C]44.0159062158216[/C][/ROW]
[ROW][C]73[/C][C]47.3905053781873[/C][/ROW]
[ROW][C]74[/C][C]51.0383189378334[/C][/ROW]
[ROW][C]75[/C][C]54.7241263064108[/C][/ROW]
[ROW][C]76[/C][C]66.7385196119902[/C][/ROW]
[ROW][C]77[/C][C]77.943890074848[/C][/ROW]
[ROW][C]78[/C][C]104.431987436800[/C][/ROW]
[ROW][C]79[/C][C]145.664099901108[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=422&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=422&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
11.80277563773199
21.82482875908947
32.54165300542776
43.12249899919920
53.13368792319849
63.16701752442263
74.10365690573665
84.15932686861707
94.25793377120875
104.32203655699487
114.47101778122163
124.52658811910250
134.65080638169338
144.85695377783234
154.85901224530255
165.00699510684802
176.67083203206317
186.7483331275212
196.84032162986506
206.93757882838096
216.98068764521088
227.38715100698503
237.53790421801711
247.68505042273633
257.79999999999999
268.1363382427232
278.18413098624405
288.37376856618334
299.1706052144883
309.43663075467087
319.54253635046783
329.8
339.90807751281752
3410.0094954917818
3510.7851750101702
3610.7907367681730
3710.8189648303338
3810.8374351209131
3911.1162043881893
4012.5079974416371
4112.9903810567666
4213.1468627436358
4313.2939836016147
4413.4996296245490
4513.5136967555144
4614.0185591271000
4714.4627106726229
4814.8327340702920
4914.9003355666911
5015.1990131258579
5115.2865954352171
5215.2973853975116
5316.1499226004337
5416.2932501361760
5516.7758755360190
5617.2325273828304
5717.3942519241271
5820.0902961650644
5920.4389334359697
6020.4406457823621
6123.7667835434246
6224.3156328315757
6324.5521893117498
6424.914654322306
6524.9595673039418
6629.1803015748638
6732.3191893462692
6833.0678091200491
6933.8252863993788
7037.914113467151
7140.0282400312579
7244.0159062158216
7347.3905053781873
7451.0383189378334
7554.7241263064108
7666.7385196119902
7777.943890074848
78104.431987436800
79145.664099901108


Figures (Output of Computation)

Input Parameters & R Code

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