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Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 17 Dec 2007 03:43:05 -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/Dec/17/t1197887355vw338f11d0lcmnh.htm/, Retrieved Sat, 04 May 2024 04:17:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=4331, Retrieved Sat, 04 May 2024 04:17:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact222
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [cluster 50+ vs tr...] [2007-12-17 10:43:05] [bd02e85be52eb1cb060a2c60779eb820] [Current]
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Dataseries X:
88900	124,9
87280	132
85519	151,4
83647	108,9
81616	121,3
80100	123,4
94027	90,3
102327	79,3
104296	117,2
101593	116,9
94816	120,8
93535	96,1
93618	100,8
92330	105,3
90751	116,1
88576	112,8
86102	114,5
85494	117,2
103432	77,1
108870	80,1
109713	120,3
106960	133,4
103195	109,4
102348	93,2
102158	91,2
100431	99,2
97649	108,2
95611	101,5
93035	106,9
93579	104,4
111777	77,9
116065	60
116609	99,5
112934	95
107660	105,6
107965	102,5
107772	93,3
106201	97,3
102288	127
99217	111,7
96511	96,4
96456	133
113021	72,2
117836	95,8
118492	124,1
113922	127,6
109317	110,7
107496	104,6
105524	112,7
103824	115,3
101833	139,4
99436	119
96915	97,4
96072	154
111941	81,5
116008	88,8
117557	127,7
113445	105,1
108762	114,9
106661	106,4
102824	104,5
101912	121,6
99005	141,4
97894	99
96256	126,7
95606	134,1
108948	81,3
111223	88,6
113142	132,7
106078	132,9
100992	134,4
97413	103,7




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=4331&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=4331&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4331&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
125.1835263614927
232.9812067699167
339.1658014088822
442.3631915700411
563.8626651495222
666.0648166575826
772.2173754093049
878.009230223096
978.5917688950112
1080.9804914778862
1189.9379786297202
12112.67337751217
13128.048272147655
14164.039507436471
15175.649396152416
16186.014219886545
17201.134718415843
18214.070292193943
19221.190318314208
20236.042898643446
21239.190907017805
22255.93172373496
23280.817752287849
24300.216588482382
25324.225862632826
26346.397837604349
27362.445454945894
28391.46852736327
29396.1163465448
30405.449457701688
31472.003824137051
32477.530365526633
33516.075232939659
34562.103228953544
35573.36932782023
36646.849593192993
37705.001815600499
38743.064051709485
39778.346094131822
40780.660662426784
41793.412447047168
42793.94063768259
43967.472136673293
441045.90372020830
451161.80658144968
461234.54601406079
471338.63008767582
481516.00145448479
491560.79900719974
501576.15574797408
511836.02989444683
521963.38878664699
532857.82351695625
542881.49774272219
553013.77948423013
563208.46598023959
574176.75219179863
584741.84149712425
594850.66816893505
605110.91549535244
615911.8380553894
629307.9162898497
639965.4914532322
6414013.4452608234
6515593.5776203163
6618028.056225182
6723424.1157512301
6866129.0311707662
6986095.5409010951
70132891.728281405
71329604.448650031

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 25.1835263614927 \tabularnewline
2 & 32.9812067699167 \tabularnewline
3 & 39.1658014088822 \tabularnewline
4 & 42.3631915700411 \tabularnewline
5 & 63.8626651495222 \tabularnewline
6 & 66.0648166575826 \tabularnewline
7 & 72.2173754093049 \tabularnewline
8 & 78.009230223096 \tabularnewline
9 & 78.5917688950112 \tabularnewline
10 & 80.9804914778862 \tabularnewline
11 & 89.9379786297202 \tabularnewline
12 & 112.67337751217 \tabularnewline
13 & 128.048272147655 \tabularnewline
14 & 164.039507436471 \tabularnewline
15 & 175.649396152416 \tabularnewline
16 & 186.014219886545 \tabularnewline
17 & 201.134718415843 \tabularnewline
18 & 214.070292193943 \tabularnewline
19 & 221.190318314208 \tabularnewline
20 & 236.042898643446 \tabularnewline
21 & 239.190907017805 \tabularnewline
22 & 255.93172373496 \tabularnewline
23 & 280.817752287849 \tabularnewline
24 & 300.216588482382 \tabularnewline
25 & 324.225862632826 \tabularnewline
26 & 346.397837604349 \tabularnewline
27 & 362.445454945894 \tabularnewline
28 & 391.46852736327 \tabularnewline
29 & 396.1163465448 \tabularnewline
30 & 405.449457701688 \tabularnewline
31 & 472.003824137051 \tabularnewline
32 & 477.530365526633 \tabularnewline
33 & 516.075232939659 \tabularnewline
34 & 562.103228953544 \tabularnewline
35 & 573.36932782023 \tabularnewline
36 & 646.849593192993 \tabularnewline
37 & 705.001815600499 \tabularnewline
38 & 743.064051709485 \tabularnewline
39 & 778.346094131822 \tabularnewline
40 & 780.660662426784 \tabularnewline
41 & 793.412447047168 \tabularnewline
42 & 793.94063768259 \tabularnewline
43 & 967.472136673293 \tabularnewline
44 & 1045.90372020830 \tabularnewline
45 & 1161.80658144968 \tabularnewline
46 & 1234.54601406079 \tabularnewline
47 & 1338.63008767582 \tabularnewline
48 & 1516.00145448479 \tabularnewline
49 & 1560.79900719974 \tabularnewline
50 & 1576.15574797408 \tabularnewline
51 & 1836.02989444683 \tabularnewline
52 & 1963.38878664699 \tabularnewline
53 & 2857.82351695625 \tabularnewline
54 & 2881.49774272219 \tabularnewline
55 & 3013.77948423013 \tabularnewline
56 & 3208.46598023959 \tabularnewline
57 & 4176.75219179863 \tabularnewline
58 & 4741.84149712425 \tabularnewline
59 & 4850.66816893505 \tabularnewline
60 & 5110.91549535244 \tabularnewline
61 & 5911.8380553894 \tabularnewline
62 & 9307.9162898497 \tabularnewline
63 & 9965.4914532322 \tabularnewline
64 & 14013.4452608234 \tabularnewline
65 & 15593.5776203163 \tabularnewline
66 & 18028.056225182 \tabularnewline
67 & 23424.1157512301 \tabularnewline
68 & 66129.0311707662 \tabularnewline
69 & 86095.5409010951 \tabularnewline
70 & 132891.728281405 \tabularnewline
71 & 329604.448650031 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=4331&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]25.1835263614927[/C][/ROW]
[ROW][C]2[/C][C]32.9812067699167[/C][/ROW]
[ROW][C]3[/C][C]39.1658014088822[/C][/ROW]
[ROW][C]4[/C][C]42.3631915700411[/C][/ROW]
[ROW][C]5[/C][C]63.8626651495222[/C][/ROW]
[ROW][C]6[/C][C]66.0648166575826[/C][/ROW]
[ROW][C]7[/C][C]72.2173754093049[/C][/ROW]
[ROW][C]8[/C][C]78.009230223096[/C][/ROW]
[ROW][C]9[/C][C]78.5917688950112[/C][/ROW]
[ROW][C]10[/C][C]80.9804914778862[/C][/ROW]
[ROW][C]11[/C][C]89.9379786297202[/C][/ROW]
[ROW][C]12[/C][C]112.67337751217[/C][/ROW]
[ROW][C]13[/C][C]128.048272147655[/C][/ROW]
[ROW][C]14[/C][C]164.039507436471[/C][/ROW]
[ROW][C]15[/C][C]175.649396152416[/C][/ROW]
[ROW][C]16[/C][C]186.014219886545[/C][/ROW]
[ROW][C]17[/C][C]201.134718415843[/C][/ROW]
[ROW][C]18[/C][C]214.070292193943[/C][/ROW]
[ROW][C]19[/C][C]221.190318314208[/C][/ROW]
[ROW][C]20[/C][C]236.042898643446[/C][/ROW]
[ROW][C]21[/C][C]239.190907017805[/C][/ROW]
[ROW][C]22[/C][C]255.93172373496[/C][/ROW]
[ROW][C]23[/C][C]280.817752287849[/C][/ROW]
[ROW][C]24[/C][C]300.216588482382[/C][/ROW]
[ROW][C]25[/C][C]324.225862632826[/C][/ROW]
[ROW][C]26[/C][C]346.397837604349[/C][/ROW]
[ROW][C]27[/C][C]362.445454945894[/C][/ROW]
[ROW][C]28[/C][C]391.46852736327[/C][/ROW]
[ROW][C]29[/C][C]396.1163465448[/C][/ROW]
[ROW][C]30[/C][C]405.449457701688[/C][/ROW]
[ROW][C]31[/C][C]472.003824137051[/C][/ROW]
[ROW][C]32[/C][C]477.530365526633[/C][/ROW]
[ROW][C]33[/C][C]516.075232939659[/C][/ROW]
[ROW][C]34[/C][C]562.103228953544[/C][/ROW]
[ROW][C]35[/C][C]573.36932782023[/C][/ROW]
[ROW][C]36[/C][C]646.849593192993[/C][/ROW]
[ROW][C]37[/C][C]705.001815600499[/C][/ROW]
[ROW][C]38[/C][C]743.064051709485[/C][/ROW]
[ROW][C]39[/C][C]778.346094131822[/C][/ROW]
[ROW][C]40[/C][C]780.660662426784[/C][/ROW]
[ROW][C]41[/C][C]793.412447047168[/C][/ROW]
[ROW][C]42[/C][C]793.94063768259[/C][/ROW]
[ROW][C]43[/C][C]967.472136673293[/C][/ROW]
[ROW][C]44[/C][C]1045.90372020830[/C][/ROW]
[ROW][C]45[/C][C]1161.80658144968[/C][/ROW]
[ROW][C]46[/C][C]1234.54601406079[/C][/ROW]
[ROW][C]47[/C][C]1338.63008767582[/C][/ROW]
[ROW][C]48[/C][C]1516.00145448479[/C][/ROW]
[ROW][C]49[/C][C]1560.79900719974[/C][/ROW]
[ROW][C]50[/C][C]1576.15574797408[/C][/ROW]
[ROW][C]51[/C][C]1836.02989444683[/C][/ROW]
[ROW][C]52[/C][C]1963.38878664699[/C][/ROW]
[ROW][C]53[/C][C]2857.82351695625[/C][/ROW]
[ROW][C]54[/C][C]2881.49774272219[/C][/ROW]
[ROW][C]55[/C][C]3013.77948423013[/C][/ROW]
[ROW][C]56[/C][C]3208.46598023959[/C][/ROW]
[ROW][C]57[/C][C]4176.75219179863[/C][/ROW]
[ROW][C]58[/C][C]4741.84149712425[/C][/ROW]
[ROW][C]59[/C][C]4850.66816893505[/C][/ROW]
[ROW][C]60[/C][C]5110.91549535244[/C][/ROW]
[ROW][C]61[/C][C]5911.8380553894[/C][/ROW]
[ROW][C]62[/C][C]9307.9162898497[/C][/ROW]
[ROW][C]63[/C][C]9965.4914532322[/C][/ROW]
[ROW][C]64[/C][C]14013.4452608234[/C][/ROW]
[ROW][C]65[/C][C]15593.5776203163[/C][/ROW]
[ROW][C]66[/C][C]18028.056225182[/C][/ROW]
[ROW][C]67[/C][C]23424.1157512301[/C][/ROW]
[ROW][C]68[/C][C]66129.0311707662[/C][/ROW]
[ROW][C]69[/C][C]86095.5409010951[/C][/ROW]
[ROW][C]70[/C][C]132891.728281405[/C][/ROW]
[ROW][C]71[/C][C]329604.448650031[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=4331&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=4331&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
125.1835263614927
232.9812067699167
339.1658014088822
442.3631915700411
563.8626651495222
666.0648166575826
772.2173754093049
878.009230223096
978.5917688950112
1080.9804914778862
1189.9379786297202
12112.67337751217
13128.048272147655
14164.039507436471
15175.649396152416
16186.014219886545
17201.134718415843
18214.070292193943
19221.190318314208
20236.042898643446
21239.190907017805
22255.93172373496
23280.817752287849
24300.216588482382
25324.225862632826
26346.397837604349
27362.445454945894
28391.46852736327
29396.1163465448
30405.449457701688
31472.003824137051
32477.530365526633
33516.075232939659
34562.103228953544
35573.36932782023
36646.849593192993
37705.001815600499
38743.064051709485
39778.346094131822
40780.660662426784
41793.412447047168
42793.94063768259
43967.472136673293
441045.90372020830
451161.80658144968
461234.54601406079
471338.63008767582
481516.00145448479
491560.79900719974
501576.15574797408
511836.02989444683
521963.38878664699
532857.82351695625
542881.49774272219
553013.77948423013
563208.46598023959
574176.75219179863
584741.84149712425
594850.66816893505
605110.91549535244
615911.8380553894
629307.9162898497
639965.4914532322
6414013.4452608234
6515593.5776203163
6618028.056225182
6723424.1157512301
6866129.0311707662
6986095.5409010951
70132891.728281405
71329604.448650031



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