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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationWed, 30 Dec 2009 06:17:52 -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/2009/Dec/30/t12621791917hadvmy5f73mw9l.htm/, Retrieved Sun, 28 Apr 2024 21:18:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=71267, Retrieved Sun, 28 Apr 2024 21:18:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Testing Population Proportion - Critical Value] [vraag 1] [2008-11-09 20:15:31] [c45c87b96bbf32ffc2144fc37d767b2e]
- RM    [Minimum Sample Size - Testing Proportions] [vraag 4] [2008-11-09 20:51:51] [c45c87b96bbf32ffc2144fc37d767b2e]
F RM D    [Hierarchical Clustering] [vraag 2] [2008-11-09 21:30:22] [c45c87b96bbf32ffc2144fc37d767b2e]
-   PD      [Hierarchical Clustering] [dendrogram] [2008-12-21 14:09:41] [c45c87b96bbf32ffc2144fc37d767b2e]
-  M D          [Hierarchical Clustering] [] [2009-12-30 13:17:52] [f6a332ba2d530c028d935c5a5bbb53af] [Current]
-   PD            [Hierarchical Clustering] [] [2009-12-30 14:13:32] [d2d412c7f4d35ffbf5ee5ee89db327d4]
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Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4930,63
6284,63
13339,63
8935,63
-419,37
1220,63
-5094,37
-5561,37
-2732,37
-316,37
-3929,37
-9291,37
6644,63
2492,63
5997,63
3383,63
-693,37
3945,63
-5128,37
-4368,37
-3414,37
-3313,37
-4619,37
-12400,37
8857,63
6407,63
11407,63
4066,63
3637,63
592,63
-4941,37
-5770,37
-4893,37
-2103,37
-5716,37
-13731,37
8025,63
3452,63
7552,63
2760,63
2001,63
2679,63
-2680,37
-4410,37
-2674,37
1677,63
-3284,37
-10360,37
8467,63
7012,63
6920,63
8835,63
2727,63
3736,63
-2893,37
-5309,37
-2578,37
-580,37
-7526,37
-11589,37
2348,63
991,63
4687,63
3096,63
-2582,37
-339,37
-4070,37
-6127,37
-3062,37
-613,37

Tables (Output of Computation)





Summary of computational 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 computational 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=71267&T=0

[TABLE]
[ROW][C]Summary of computational 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=71267&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71267&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 computational 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
14
26
322
423
529
633
733
834
942
1048
1154
1269
1371.3333333333333
1475
1592
1699
17111.333333333333
18114.333333333333
19117.666666666667
20121
21123
22141
23144
24144.333333333333
25169
26224.666666666667
27229
28243
29243.466666666667
30252.666666666667
31292.666666666667
32324
33357
34405.666666666667
35441.999999999999
36480.533333333333
37528
38552
39595.2
40597.333333333333
41608.333333333333
42668
43692.066666666667
44750.666666666667
45811
46856.2
47900.333333333333
481069
491192.66666666667
501244.76190476190
511641.86666666667
521916.19047619048
531932
542045
552353.24444444444
562362.78181818182
572709.66666666667
582971.34920634921
594699.8
604832.55555555555
617225.66666666667
628681.30952380952
6311363.3906432749
6413035.6904761905
6516039.7005347594
6630379.1821631879
6753248.3048532403
6858292.7744360902
69217605.24015444

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 4 \tabularnewline
2 & 6 \tabularnewline
3 & 22 \tabularnewline
4 & 23 \tabularnewline
5 & 29 \tabularnewline
6 & 33 \tabularnewline
7 & 33 \tabularnewline
8 & 34 \tabularnewline
9 & 42 \tabularnewline
10 & 48 \tabularnewline
11 & 54 \tabularnewline
12 & 69 \tabularnewline
13 & 71.3333333333333 \tabularnewline
14 & 75 \tabularnewline
15 & 92 \tabularnewline
16 & 99 \tabularnewline
17 & 111.333333333333 \tabularnewline
18 & 114.333333333333 \tabularnewline
19 & 117.666666666667 \tabularnewline
20 & 121 \tabularnewline
21 & 123 \tabularnewline
22 & 141 \tabularnewline
23 & 144 \tabularnewline
24 & 144.333333333333 \tabularnewline
25 & 169 \tabularnewline
26 & 224.666666666667 \tabularnewline
27 & 229 \tabularnewline
28 & 243 \tabularnewline
29 & 243.466666666667 \tabularnewline
30 & 252.666666666667 \tabularnewline
31 & 292.666666666667 \tabularnewline
32 & 324 \tabularnewline
33 & 357 \tabularnewline
34 & 405.666666666667 \tabularnewline
35 & 441.999999999999 \tabularnewline
36 & 480.533333333333 \tabularnewline
37 & 528 \tabularnewline
38 & 552 \tabularnewline
39 & 595.2 \tabularnewline
40 & 597.333333333333 \tabularnewline
41 & 608.333333333333 \tabularnewline
42 & 668 \tabularnewline
43 & 692.066666666667 \tabularnewline
44 & 750.666666666667 \tabularnewline
45 & 811 \tabularnewline
46 & 856.2 \tabularnewline
47 & 900.333333333333 \tabularnewline
48 & 1069 \tabularnewline
49 & 1192.66666666667 \tabularnewline
50 & 1244.76190476190 \tabularnewline
51 & 1641.86666666667 \tabularnewline
52 & 1916.19047619048 \tabularnewline
53 & 1932 \tabularnewline
54 & 2045 \tabularnewline
55 & 2353.24444444444 \tabularnewline
56 & 2362.78181818182 \tabularnewline
57 & 2709.66666666667 \tabularnewline
58 & 2971.34920634921 \tabularnewline
59 & 4699.8 \tabularnewline
60 & 4832.55555555555 \tabularnewline
61 & 7225.66666666667 \tabularnewline
62 & 8681.30952380952 \tabularnewline
63 & 11363.3906432749 \tabularnewline
64 & 13035.6904761905 \tabularnewline
65 & 16039.7005347594 \tabularnewline
66 & 30379.1821631879 \tabularnewline
67 & 53248.3048532403 \tabularnewline
68 & 58292.7744360902 \tabularnewline
69 & 217605.24015444 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71267&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]4[/C][/ROW]
[ROW][C]2[/C][C]6[/C][/ROW]
[ROW][C]3[/C][C]22[/C][/ROW]
[ROW][C]4[/C][C]23[/C][/ROW]
[ROW][C]5[/C][C]29[/C][/ROW]
[ROW][C]6[/C][C]33[/C][/ROW]
[ROW][C]7[/C][C]33[/C][/ROW]
[ROW][C]8[/C][C]34[/C][/ROW]
[ROW][C]9[/C][C]42[/C][/ROW]
[ROW][C]10[/C][C]48[/C][/ROW]
[ROW][C]11[/C][C]54[/C][/ROW]
[ROW][C]12[/C][C]69[/C][/ROW]
[ROW][C]13[/C][C]71.3333333333333[/C][/ROW]
[ROW][C]14[/C][C]75[/C][/ROW]
[ROW][C]15[/C][C]92[/C][/ROW]
[ROW][C]16[/C][C]99[/C][/ROW]
[ROW][C]17[/C][C]111.333333333333[/C][/ROW]
[ROW][C]18[/C][C]114.333333333333[/C][/ROW]
[ROW][C]19[/C][C]117.666666666667[/C][/ROW]
[ROW][C]20[/C][C]121[/C][/ROW]
[ROW][C]21[/C][C]123[/C][/ROW]
[ROW][C]22[/C][C]141[/C][/ROW]
[ROW][C]23[/C][C]144[/C][/ROW]
[ROW][C]24[/C][C]144.333333333333[/C][/ROW]
[ROW][C]25[/C][C]169[/C][/ROW]
[ROW][C]26[/C][C]224.666666666667[/C][/ROW]
[ROW][C]27[/C][C]229[/C][/ROW]
[ROW][C]28[/C][C]243[/C][/ROW]
[ROW][C]29[/C][C]243.466666666667[/C][/ROW]
[ROW][C]30[/C][C]252.666666666667[/C][/ROW]
[ROW][C]31[/C][C]292.666666666667[/C][/ROW]
[ROW][C]32[/C][C]324[/C][/ROW]
[ROW][C]33[/C][C]357[/C][/ROW]
[ROW][C]34[/C][C]405.666666666667[/C][/ROW]
[ROW][C]35[/C][C]441.999999999999[/C][/ROW]
[ROW][C]36[/C][C]480.533333333333[/C][/ROW]
[ROW][C]37[/C][C]528[/C][/ROW]
[ROW][C]38[/C][C]552[/C][/ROW]
[ROW][C]39[/C][C]595.2[/C][/ROW]
[ROW][C]40[/C][C]597.333333333333[/C][/ROW]
[ROW][C]41[/C][C]608.333333333333[/C][/ROW]
[ROW][C]42[/C][C]668[/C][/ROW]
[ROW][C]43[/C][C]692.066666666667[/C][/ROW]
[ROW][C]44[/C][C]750.666666666667[/C][/ROW]
[ROW][C]45[/C][C]811[/C][/ROW]
[ROW][C]46[/C][C]856.2[/C][/ROW]
[ROW][C]47[/C][C]900.333333333333[/C][/ROW]
[ROW][C]48[/C][C]1069[/C][/ROW]
[ROW][C]49[/C][C]1192.66666666667[/C][/ROW]
[ROW][C]50[/C][C]1244.76190476190[/C][/ROW]
[ROW][C]51[/C][C]1641.86666666667[/C][/ROW]
[ROW][C]52[/C][C]1916.19047619048[/C][/ROW]
[ROW][C]53[/C][C]1932[/C][/ROW]
[ROW][C]54[/C][C]2045[/C][/ROW]
[ROW][C]55[/C][C]2353.24444444444[/C][/ROW]
[ROW][C]56[/C][C]2362.78181818182[/C][/ROW]
[ROW][C]57[/C][C]2709.66666666667[/C][/ROW]
[ROW][C]58[/C][C]2971.34920634921[/C][/ROW]
[ROW][C]59[/C][C]4699.8[/C][/ROW]
[ROW][C]60[/C][C]4832.55555555555[/C][/ROW]
[ROW][C]61[/C][C]7225.66666666667[/C][/ROW]
[ROW][C]62[/C][C]8681.30952380952[/C][/ROW]
[ROW][C]63[/C][C]11363.3906432749[/C][/ROW]
[ROW][C]64[/C][C]13035.6904761905[/C][/ROW]
[ROW][C]65[/C][C]16039.7005347594[/C][/ROW]
[ROW][C]66[/C][C]30379.1821631879[/C][/ROW]
[ROW][C]67[/C][C]53248.3048532403[/C][/ROW]
[ROW][C]68[/C][C]58292.7744360902[/C][/ROW]
[ROW][C]69[/C][C]217605.24015444[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71267&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71267&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
14
26
322
423
529
633
733
834
942
1048
1154
1269
1371.3333333333333
1475
1592
1699
17111.333333333333
18114.333333333333
19117.666666666667
20121
21123
22141
23144
24144.333333333333
25169
26224.666666666667
27229
28243
29243.466666666667
30252.666666666667
31292.666666666667
32324
33357
34405.666666666667
35441.999999999999
36480.533333333333
37528
38552
39595.2
40597.333333333333
41608.333333333333
42668
43692.066666666667
44750.666666666667
45811
46856.2
47900.333333333333
481069
491192.66666666667
501244.76190476190
511641.86666666667
521916.19047619048
531932
542045
552353.24444444444
562362.78181818182
572709.66666666667
582971.34920634921
594699.8
604832.55555555555
617225.66666666667
628681.30952380952
6311363.3906432749
6413035.6904761905
6516039.7005347594
6630379.1821631879
6753248.3048532403
6858292.7744360902
69217605.24015444






Summary of Cut Dendrogram
LabelHeight
1635.033333333333
2720.5
3762.2
4828.333333333333
51192.07142857143
61283.15714285714
71428.66666666667
81736.5
91932
102299.5
112347.93888888889
122519.025
134043.11485714286
145683.33333333333
155980.4729047619
168396.22777777777
1718966.239827957
1823389.3828034188
1968462.2439264473

\begin{tabular}{lllllllll}
\hline
Summary of Cut Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 635.033333333333 \tabularnewline
2 & 720.5 \tabularnewline
3 & 762.2 \tabularnewline
4 & 828.333333333333 \tabularnewline
5 & 1192.07142857143 \tabularnewline
6 & 1283.15714285714 \tabularnewline
7 & 1428.66666666667 \tabularnewline
8 & 1736.5 \tabularnewline
9 & 1932 \tabularnewline
10 & 2299.5 \tabularnewline
11 & 2347.93888888889 \tabularnewline
12 & 2519.025 \tabularnewline
13 & 4043.11485714286 \tabularnewline
14 & 5683.33333333333 \tabularnewline
15 & 5980.4729047619 \tabularnewline
16 & 8396.22777777777 \tabularnewline
17 & 18966.239827957 \tabularnewline
18 & 23389.3828034188 \tabularnewline
19 & 68462.2439264473 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=71267&T=2

[TABLE]
[ROW][C]Summary of Cut Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]635.033333333333[/C][/ROW]
[ROW][C]2[/C][C]720.5[/C][/ROW]
[ROW][C]3[/C][C]762.2[/C][/ROW]
[ROW][C]4[/C][C]828.333333333333[/C][/ROW]
[ROW][C]5[/C][C]1192.07142857143[/C][/ROW]
[ROW][C]6[/C][C]1283.15714285714[/C][/ROW]
[ROW][C]7[/C][C]1428.66666666667[/C][/ROW]
[ROW][C]8[/C][C]1736.5[/C][/ROW]
[ROW][C]9[/C][C]1932[/C][/ROW]
[ROW][C]10[/C][C]2299.5[/C][/ROW]
[ROW][C]11[/C][C]2347.93888888889[/C][/ROW]
[ROW][C]12[/C][C]2519.025[/C][/ROW]
[ROW][C]13[/C][C]4043.11485714286[/C][/ROW]
[ROW][C]14[/C][C]5683.33333333333[/C][/ROW]
[ROW][C]15[/C][C]5980.4729047619[/C][/ROW]
[ROW][C]16[/C][C]8396.22777777777[/C][/ROW]
[ROW][C]17[/C][C]18966.239827957[/C][/ROW]
[ROW][C]18[/C][C]23389.3828034188[/C][/ROW]
[ROW][C]19[/C][C]68462.2439264473[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=71267&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=71267&T=2

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 Cut Dendrogram
LabelHeight
1635.033333333333
2720.5
3762.2
4828.333333333333
51192.07142857143
61283.15714285714
71428.66666666667
81736.5
91932
102299.5
112347.93888888889
122519.025
134043.11485714286
145683.33333333333
155980.4729047619
168396.22777777777
1718966.239827957
1823389.3828034188
1968462.2439264473


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ward ; par2 = 20 ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = ward ; par2 = 20 ; 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')
}