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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 05:34:09 -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/t1226406891liud1o5ts54bplv.htm/, Retrieved Mon, 20 May 2024 04:50:38 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23393, Retrieved Mon, 20 May 2024 04:50:38 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact114

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 12:34:09] [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 time1 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23393&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23393&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23393&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'George Udny Yule' @ 72.249.76.132






Summary of Dendrogram
LabelHeight
11.80308131818846
22.05212524227931
34.52799693573216
45.92105660841032
58.79268928656069
69.8185316667005
79.9910315908819
810.1918747838658
910.4260992686622
1012.1100406341185
1114.8409613735095
1218.2784948945475
1321.5968213774621
1422.2289527798769
1523.3344650472215
1623.9676899447986
1724.2393918655151
1824.5538641920167
1924.7783999556065
2027.7686227532084
2127.802949835584
2230.3727598805246
2330.3792385743948
2431.9278600072100
2533.764746408051
2638.9589692065896
2742.0049762309182
2842.0865968255928
2943.3649749684005
3044.01603807716
3146.6634891324041
3247.5429747585277
3348.4979505143259
3448.8212485805105
3552.6817811699642
3654.834179244701
3759.7233807566183
3862.4733540288178
3966.0528898008255
4086.2311442234765
4193.587247499005
4298.2887660754778
43101.435940811726
44103.501790565381
45105.688799330866
46107.563812498860
47109.860456966281
48111.904089095305
49141.925521826379
50155.691274652885
51158.431373158854
52166.182584289088
53174.457020748636
54199.298294044380
55256.207760296210
56267.050655458173
57271.692846923065
58362.742798815373
59407.356843166787
60563.375277596745

\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 & 9.9910315908819 \tabularnewline
8 & 10.1918747838658 \tabularnewline
9 & 10.4260992686622 \tabularnewline
10 & 12.1100406341185 \tabularnewline
11 & 14.8409613735095 \tabularnewline
12 & 18.2784948945475 \tabularnewline
13 & 21.5968213774621 \tabularnewline
14 & 22.2289527798769 \tabularnewline
15 & 23.3344650472215 \tabularnewline
16 & 23.9676899447986 \tabularnewline
17 & 24.2393918655151 \tabularnewline
18 & 24.5538641920167 \tabularnewline
19 & 24.7783999556065 \tabularnewline
20 & 27.7686227532084 \tabularnewline
21 & 27.802949835584 \tabularnewline
22 & 30.3727598805246 \tabularnewline
23 & 30.3792385743948 \tabularnewline
24 & 31.9278600072100 \tabularnewline
25 & 33.764746408051 \tabularnewline
26 & 38.9589692065896 \tabularnewline
27 & 42.0049762309182 \tabularnewline
28 & 42.0865968255928 \tabularnewline
29 & 43.3649749684005 \tabularnewline
30 & 44.01603807716 \tabularnewline
31 & 46.6634891324041 \tabularnewline
32 & 47.5429747585277 \tabularnewline
33 & 48.4979505143259 \tabularnewline
34 & 48.8212485805105 \tabularnewline
35 & 52.6817811699642 \tabularnewline
36 & 54.834179244701 \tabularnewline
37 & 59.7233807566183 \tabularnewline
38 & 62.4733540288178 \tabularnewline
39 & 66.0528898008255 \tabularnewline
40 & 86.2311442234765 \tabularnewline
41 & 93.587247499005 \tabularnewline
42 & 98.2887660754778 \tabularnewline
43 & 101.435940811726 \tabularnewline
44 & 103.501790565381 \tabularnewline
45 & 105.688799330866 \tabularnewline
46 & 107.563812498860 \tabularnewline
47 & 109.860456966281 \tabularnewline
48 & 111.904089095305 \tabularnewline
49 & 141.925521826379 \tabularnewline
50 & 155.691274652885 \tabularnewline
51 & 158.431373158854 \tabularnewline
52 & 166.182584289088 \tabularnewline
53 & 174.457020748636 \tabularnewline
54 & 199.298294044380 \tabularnewline
55 & 256.207760296210 \tabularnewline
56 & 267.050655458173 \tabularnewline
57 & 271.692846923065 \tabularnewline
58 & 362.742798815373 \tabularnewline
59 & 407.356843166787 \tabularnewline
60 & 563.375277596745 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23393&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]9.9910315908819[/C][/ROW]
[ROW][C]8[/C][C]10.1918747838658[/C][/ROW]
[ROW][C]9[/C][C]10.4260992686622[/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]18.2784948945475[/C][/ROW]
[ROW][C]13[/C][C]21.5968213774621[/C][/ROW]
[ROW][C]14[/C][C]22.2289527798769[/C][/ROW]
[ROW][C]15[/C][C]23.3344650472215[/C][/ROW]
[ROW][C]16[/C][C]23.9676899447986[/C][/ROW]
[ROW][C]17[/C][C]24.2393918655151[/C][/ROW]
[ROW][C]18[/C][C]24.5538641920167[/C][/ROW]
[ROW][C]19[/C][C]24.7783999556065[/C][/ROW]
[ROW][C]20[/C][C]27.7686227532084[/C][/ROW]
[ROW][C]21[/C][C]27.802949835584[/C][/ROW]
[ROW][C]22[/C][C]30.3727598805246[/C][/ROW]
[ROW][C]23[/C][C]30.3792385743948[/C][/ROW]
[ROW][C]24[/C][C]31.9278600072100[/C][/ROW]
[ROW][C]25[/C][C]33.764746408051[/C][/ROW]
[ROW][C]26[/C][C]38.9589692065896[/C][/ROW]
[ROW][C]27[/C][C]42.0049762309182[/C][/ROW]
[ROW][C]28[/C][C]42.0865968255928[/C][/ROW]
[ROW][C]29[/C][C]43.3649749684005[/C][/ROW]
[ROW][C]30[/C][C]44.01603807716[/C][/ROW]
[ROW][C]31[/C][C]46.6634891324041[/C][/ROW]
[ROW][C]32[/C][C]47.5429747585277[/C][/ROW]
[ROW][C]33[/C][C]48.4979505143259[/C][/ROW]
[ROW][C]34[/C][C]48.8212485805105[/C][/ROW]
[ROW][C]35[/C][C]52.6817811699642[/C][/ROW]
[ROW][C]36[/C][C]54.834179244701[/C][/ROW]
[ROW][C]37[/C][C]59.7233807566183[/C][/ROW]
[ROW][C]38[/C][C]62.4733540288178[/C][/ROW]
[ROW][C]39[/C][C]66.0528898008255[/C][/ROW]
[ROW][C]40[/C][C]86.2311442234765[/C][/ROW]
[ROW][C]41[/C][C]93.587247499005[/C][/ROW]
[ROW][C]42[/C][C]98.2887660754778[/C][/ROW]
[ROW][C]43[/C][C]101.435940811726[/C][/ROW]
[ROW][C]44[/C][C]103.501790565381[/C][/ROW]
[ROW][C]45[/C][C]105.688799330866[/C][/ROW]
[ROW][C]46[/C][C]107.563812498860[/C][/ROW]
[ROW][C]47[/C][C]109.860456966281[/C][/ROW]
[ROW][C]48[/C][C]111.904089095305[/C][/ROW]
[ROW][C]49[/C][C]141.925521826379[/C][/ROW]
[ROW][C]50[/C][C]155.691274652885[/C][/ROW]
[ROW][C]51[/C][C]158.431373158854[/C][/ROW]
[ROW][C]52[/C][C]166.182584289088[/C][/ROW]
[ROW][C]53[/C][C]174.457020748636[/C][/ROW]
[ROW][C]54[/C][C]199.298294044380[/C][/ROW]
[ROW][C]55[/C][C]256.207760296210[/C][/ROW]
[ROW][C]56[/C][C]267.050655458173[/C][/ROW]
[ROW][C]57[/C][C]271.692846923065[/C][/ROW]
[ROW][C]58[/C][C]362.742798815373[/C][/ROW]
[ROW][C]59[/C][C]407.356843166787[/C][/ROW]
[ROW][C]60[/C][C]563.375277596745[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23393&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23393&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
79.9910315908819
810.1918747838658
910.4260992686622
1012.1100406341185
1114.8409613735095
1218.2784948945475
1321.5968213774621
1422.2289527798769
1523.3344650472215
1623.9676899447986
1724.2393918655151
1824.5538641920167
1924.7783999556065
2027.7686227532084
2127.802949835584
2230.3727598805246
2330.3792385743948
2431.9278600072100
2533.764746408051
2638.9589692065896
2742.0049762309182
2842.0865968255928
2943.3649749684005
3044.01603807716
3146.6634891324041
3247.5429747585277
3348.4979505143259
3448.8212485805105
3552.6817811699642
3654.834179244701
3759.7233807566183
3862.4733540288178
3966.0528898008255
4086.2311442234765
4193.587247499005
4298.2887660754778
43101.435940811726
44103.501790565381
45105.688799330866
46107.563812498860
47109.860456966281
48111.904089095305
49141.925521826379
50155.691274652885
51158.431373158854
52166.182584289088
53174.457020748636
54199.298294044380
55256.207760296210
56267.050655458173
57271.692846923065
58362.742798815373
59407.356843166787
60563.375277596745


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')
}