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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 computationTue, 11 Nov 2008 05:42:24 -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/2008/Nov/11/t1226407387wnrgkz30iymr90r.htm/, Retrieved Sun, 19 May 2024 09:21:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23405, Retrieved Sun, 19 May 2024 09:21:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact117

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Q2 Hierarchical C...] [2008-11-11 12:42:24] [21d7d81e7693ad6dde5aadefb1046611] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
604.4	882.5	1.1663
883.9	789.6	1.1372
527.9	773.3	1.1139
756.2	804.3	1.1222
812.9	817.8	1.1692
655.6	836.7	1.1702
707.6	721.8	1.2286
612.6	760.8	1.2613
659.2	841.4	1.2646
833.4	1045.6	1.2262
727.8	949.2	1.1985
797.2	850.1	1.2007
753	957.4	1.2138
762	851.8	1.2266
613.7	913.9	1.2176
759.2	888	1.2218
816.4	973.8	1.249
736.8	927.6	1.2991
680.1	833	1.3408
736.5	879.5	1.3119
637.2	797.3	1.3014
801.9	834.5	1.3201
772.3	735.1	1.2938
897.3	835	1.2694
792.1	892.8	1.2165
826.8	697.2	1.2037
666.8	821.1	1.2292
906.6	732.7	1.2256
871.4	797.6	1.2015
891	866.3	1.1786
739.2	826.3	1.1856
833.6	778.6	1.2103
715.6	779.2	1.1938
871.6	951	1.202
751.6	692.3	1.2271
1005.5	841.4	1.277
681.2	857.3	1.265
837.3	760.7	1.2684
674.7	841.2	1.2811
806.3	810.3	1.2727
860.2	1007.4	1.2611
689.8	931.3	1.2881
691.6	931.2	1.3213
682.6	855.8	1.2999
800.1	858.4	1.3074
1023.7	925.9	1.3242
733.5	930.7	1.3516
875.3	1037.6	1.3511
770.2	979.2	1.3419
1005.7	942.6	1.3716
982.3	843.9	1.3622
742.9	854.3	1.3896
974.2	1029.8	1.4227
822.3	944	1.4684
773.2	856.4	1.457
750.9	1059.4	1.4718
708	959.3	1.4748
690	941.5	1.5527
652.8	1026.4	1.575
620.7	921.3	1.5557
461.9	968	1.5553

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 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 & 2 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23405&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]2 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=23405&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23405&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 time2 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135






Summary of Dendrogram
LabelHeight
11.80308131818846
22.05212524227931
34.52799693573216
45.92105660841032
58.79268928656069
69.8185316667005
79.86497499333924
89.9910315908819
910.1918747838658
1012.1100406341185
1114.8409613735095
1216.6720934716398
1313.9455400924276
1417.9322095892379
1518.2784948945475
1620.2336864510857
1720.2475127913014
1821.7906734679589
1923.3344650472215
2024.2393918655151
2122.9664634207166
2224.5538641920167
2325.9066729001500
2427.4524232110926
2527.802949835584
2627.9228376478616
2730.3792385743948
2830.4265848772930
2931.9278600072100
3033.764746408051
3134.8694910059617
3235.1847817083457
3333.2031894736463
3436.2190928412619
3537.3892606225412
3641.4384160488352
3744.01603807716
3847.1007903924404
3947.5429747585277
4047.6277263469206
4156.0589318786881
4251.8247285179261
4356.1081259386758
4457.5487201628266
4558.1639640483043
4663.6302895817845
4769.4294395977429
4869.9357240687218
4973.6797515509036
5078.4136117040874
5173.3409358078691
5283.261006124305
5385.8122119330761
5499.0717186866896
55119.414421371741
56132.596290934069
57136.764597784449
58158.593708820565
59196.275396687675
60250.974835219667

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 1.80308131818846 \tabularnewline
2 & 2.05212524227931 \tabularnewline
3 & 4.52799693573216 \tabularnewline
4 & 5.92105660841032 \tabularnewline
5 & 8.79268928656069 \tabularnewline
6 & 9.8185316667005 \tabularnewline
7 & 9.86497499333924 \tabularnewline
8 & 9.9910315908819 \tabularnewline
9 & 10.1918747838658 \tabularnewline
10 & 12.1100406341185 \tabularnewline
11 & 14.8409613735095 \tabularnewline
12 & 16.6720934716398 \tabularnewline
13 & 13.9455400924276 \tabularnewline
14 & 17.9322095892379 \tabularnewline
15 & 18.2784948945475 \tabularnewline
16 & 20.2336864510857 \tabularnewline
17 & 20.2475127913014 \tabularnewline
18 & 21.7906734679589 \tabularnewline
19 & 23.3344650472215 \tabularnewline
20 & 24.2393918655151 \tabularnewline
21 & 22.9664634207166 \tabularnewline
22 & 24.5538641920167 \tabularnewline
23 & 25.9066729001500 \tabularnewline
24 & 27.4524232110926 \tabularnewline
25 & 27.802949835584 \tabularnewline
26 & 27.9228376478616 \tabularnewline
27 & 30.3792385743948 \tabularnewline
28 & 30.4265848772930 \tabularnewline
29 & 31.9278600072100 \tabularnewline
30 & 33.764746408051 \tabularnewline
31 & 34.8694910059617 \tabularnewline
32 & 35.1847817083457 \tabularnewline
33 & 33.2031894736463 \tabularnewline
34 & 36.2190928412619 \tabularnewline
35 & 37.3892606225412 \tabularnewline
36 & 41.4384160488352 \tabularnewline
37 & 44.01603807716 \tabularnewline
38 & 47.1007903924404 \tabularnewline
39 & 47.5429747585277 \tabularnewline
40 & 47.6277263469206 \tabularnewline
41 & 56.0589318786881 \tabularnewline
42 & 51.8247285179261 \tabularnewline
43 & 56.1081259386758 \tabularnewline
44 & 57.5487201628266 \tabularnewline
45 & 58.1639640483043 \tabularnewline
46 & 63.6302895817845 \tabularnewline
47 & 69.4294395977429 \tabularnewline
48 & 69.9357240687218 \tabularnewline
49 & 73.6797515509036 \tabularnewline
50 & 78.4136117040874 \tabularnewline
51 & 73.3409358078691 \tabularnewline
52 & 83.261006124305 \tabularnewline
53 & 85.8122119330761 \tabularnewline
54 & 99.0717186866896 \tabularnewline
55 & 119.414421371741 \tabularnewline
56 & 132.596290934069 \tabularnewline
57 & 136.764597784449 \tabularnewline
58 & 158.593708820565 \tabularnewline
59 & 196.275396687675 \tabularnewline
60 & 250.974835219667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23405&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]1.80308131818846[/C][/ROW]
[ROW][C]2[/C][C]2.05212524227931[/C][/ROW]
[ROW][C]3[/C][C]4.52799693573216[/C][/ROW]
[ROW][C]4[/C][C]5.92105660841032[/C][/ROW]
[ROW][C]5[/C][C]8.79268928656069[/C][/ROW]
[ROW][C]6[/C][C]9.8185316667005[/C][/ROW]
[ROW][C]7[/C][C]9.86497499333924[/C][/ROW]
[ROW][C]8[/C][C]9.9910315908819[/C][/ROW]
[ROW][C]9[/C][C]10.1918747838658[/C][/ROW]
[ROW][C]10[/C][C]12.1100406341185[/C][/ROW]
[ROW][C]11[/C][C]14.8409613735095[/C][/ROW]
[ROW][C]12[/C][C]16.6720934716398[/C][/ROW]
[ROW][C]13[/C][C]13.9455400924276[/C][/ROW]
[ROW][C]14[/C][C]17.9322095892379[/C][/ROW]
[ROW][C]15[/C][C]18.2784948945475[/C][/ROW]
[ROW][C]16[/C][C]20.2336864510857[/C][/ROW]
[ROW][C]17[/C][C]20.2475127913014[/C][/ROW]
[ROW][C]18[/C][C]21.7906734679589[/C][/ROW]
[ROW][C]19[/C][C]23.3344650472215[/C][/ROW]
[ROW][C]20[/C][C]24.2393918655151[/C][/ROW]
[ROW][C]21[/C][C]22.9664634207166[/C][/ROW]
[ROW][C]22[/C][C]24.5538641920167[/C][/ROW]
[ROW][C]23[/C][C]25.9066729001500[/C][/ROW]
[ROW][C]24[/C][C]27.4524232110926[/C][/ROW]
[ROW][C]25[/C][C]27.802949835584[/C][/ROW]
[ROW][C]26[/C][C]27.9228376478616[/C][/ROW]
[ROW][C]27[/C][C]30.3792385743948[/C][/ROW]
[ROW][C]28[/C][C]30.4265848772930[/C][/ROW]
[ROW][C]29[/C][C]31.9278600072100[/C][/ROW]
[ROW][C]30[/C][C]33.764746408051[/C][/ROW]
[ROW][C]31[/C][C]34.8694910059617[/C][/ROW]
[ROW][C]32[/C][C]35.1847817083457[/C][/ROW]
[ROW][C]33[/C][C]33.2031894736463[/C][/ROW]
[ROW][C]34[/C][C]36.2190928412619[/C][/ROW]
[ROW][C]35[/C][C]37.3892606225412[/C][/ROW]
[ROW][C]36[/C][C]41.4384160488352[/C][/ROW]
[ROW][C]37[/C][C]44.01603807716[/C][/ROW]
[ROW][C]38[/C][C]47.1007903924404[/C][/ROW]
[ROW][C]39[/C][C]47.5429747585277[/C][/ROW]
[ROW][C]40[/C][C]47.6277263469206[/C][/ROW]
[ROW][C]41[/C][C]56.0589318786881[/C][/ROW]
[ROW][C]42[/C][C]51.8247285179261[/C][/ROW]
[ROW][C]43[/C][C]56.1081259386758[/C][/ROW]
[ROW][C]44[/C][C]57.5487201628266[/C][/ROW]
[ROW][C]45[/C][C]58.1639640483043[/C][/ROW]
[ROW][C]46[/C][C]63.6302895817845[/C][/ROW]
[ROW][C]47[/C][C]69.4294395977429[/C][/ROW]
[ROW][C]48[/C][C]69.9357240687218[/C][/ROW]
[ROW][C]49[/C][C]73.6797515509036[/C][/ROW]
[ROW][C]50[/C][C]78.4136117040874[/C][/ROW]
[ROW][C]51[/C][C]73.3409358078691[/C][/ROW]
[ROW][C]52[/C][C]83.261006124305[/C][/ROW]
[ROW][C]53[/C][C]85.8122119330761[/C][/ROW]
[ROW][C]54[/C][C]99.0717186866896[/C][/ROW]
[ROW][C]55[/C][C]119.414421371741[/C][/ROW]
[ROW][C]56[/C][C]132.596290934069[/C][/ROW]
[ROW][C]57[/C][C]136.764597784449[/C][/ROW]
[ROW][C]58[/C][C]158.593708820565[/C][/ROW]
[ROW][C]59[/C][C]196.275396687675[/C][/ROW]
[ROW][C]60[/C][C]250.974835219667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23405&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23405&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
11.80308131818846
22.05212524227931
34.52799693573216
45.92105660841032
58.79268928656069
69.8185316667005
79.86497499333924
89.9910315908819
910.1918747838658
1012.1100406341185
1114.8409613735095
1216.6720934716398
1313.9455400924276
1417.9322095892379
1518.2784948945475
1620.2336864510857
1720.2475127913014
1821.7906734679589
1923.3344650472215
2024.2393918655151
2122.9664634207166
2224.5538641920167
2325.9066729001500
2427.4524232110926
2527.802949835584
2627.9228376478616
2730.3792385743948
2830.4265848772930
2931.9278600072100
3033.764746408051
3134.8694910059617
3235.1847817083457
3333.2031894736463
3436.2190928412619
3537.3892606225412
3641.4384160488352
3744.01603807716
3847.1007903924404
3947.5429747585277
4047.6277263469206
4156.0589318786881
4251.8247285179261
4356.1081259386758
4457.5487201628266
4558.1639640483043
4663.6302895817845
4769.4294395977429
4869.9357240687218
4973.6797515509036
5078.4136117040874
5173.3409358078691
5283.261006124305
5385.8122119330761
5499.0717186866896
55119.414421371741
56132.596290934069
57136.764597784449
58158.593708820565
59196.275396687675
60250.974835219667






Summary of Cut Dendrogram
LabelHeight
168.8546603422424
269.990417748164
375.403860283591
477.200206676019
577.4372354901938
682.9412628535292
785.5003767144071
893.9318944815338
995.458324162946
1083.3326010356322
1196.249213501712
1296.688738976208
1385.2418915279084
14110.969582648161
15122.498478591284
16139.531976029017
17163.538983954018
18198.632777335735
19253.446789655910

\begin{tabular}{lllllllll}
\hline
Summary of Cut Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 68.8546603422424 \tabularnewline
2 & 69.990417748164 \tabularnewline
3 & 75.403860283591 \tabularnewline
4 & 77.200206676019 \tabularnewline
5 & 77.4372354901938 \tabularnewline
6 & 82.9412628535292 \tabularnewline
7 & 85.5003767144071 \tabularnewline
8 & 93.9318944815338 \tabularnewline
9 & 95.458324162946 \tabularnewline
10 & 83.3326010356322 \tabularnewline
11 & 96.249213501712 \tabularnewline
12 & 96.688738976208 \tabularnewline
13 & 85.2418915279084 \tabularnewline
14 & 110.969582648161 \tabularnewline
15 & 122.498478591284 \tabularnewline
16 & 139.531976029017 \tabularnewline
17 & 163.538983954018 \tabularnewline
18 & 198.632777335735 \tabularnewline
19 & 253.446789655910 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23405&T=2

[TABLE]
[ROW][C]Summary of Cut Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]68.8546603422424[/C][/ROW]
[ROW][C]2[/C][C]69.990417748164[/C][/ROW]
[ROW][C]3[/C][C]75.403860283591[/C][/ROW]
[ROW][C]4[/C][C]77.200206676019[/C][/ROW]
[ROW][C]5[/C][C]77.4372354901938[/C][/ROW]
[ROW][C]6[/C][C]82.9412628535292[/C][/ROW]
[ROW][C]7[/C][C]85.5003767144071[/C][/ROW]
[ROW][C]8[/C][C]93.9318944815338[/C][/ROW]
[ROW][C]9[/C][C]95.458324162946[/C][/ROW]
[ROW][C]10[/C][C]83.3326010356322[/C][/ROW]
[ROW][C]11[/C][C]96.249213501712[/C][/ROW]
[ROW][C]12[/C][C]96.688738976208[/C][/ROW]
[ROW][C]13[/C][C]85.2418915279084[/C][/ROW]
[ROW][C]14[/C][C]110.969582648161[/C][/ROW]
[ROW][C]15[/C][C]122.498478591284[/C][/ROW]
[ROW][C]16[/C][C]139.531976029017[/C][/ROW]
[ROW][C]17[/C][C]163.538983954018[/C][/ROW]
[ROW][C]18[/C][C]198.632777335735[/C][/ROW]
[ROW][C]19[/C][C]253.446789655910[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23405&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23405&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
168.8546603422424
269.990417748164
375.403860283591
477.200206676019
577.4372354901938
682.9412628535292
785.5003767144071
893.9318944815338
995.458324162946
1083.3326010356322
1196.249213501712
1296.688738976208
1385.2418915279084
14110.969582648161
15122.498478591284
16139.531976029017
17163.538983954018
18198.632777335735
19253.446789655910


Figures (Output of Computation)

Input Parameters & R Code

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