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of Irreproducible Research!

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 03:13:13 -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/t12263984738ut2jq8ue1c7bgd.htm/, Retrieved Sun, 19 May 2024 08:53:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=23270, Retrieved Sun, 19 May 2024 08:53:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact168
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F     [Trivariate Scatterplots] [Werkloosheid/insc...] [2008-11-10 16:29:40] [57fa5e3679c393aa19449b2f1be9928b]
- RMPD    [Hierarchical Clustering] [] [2008-11-11 10:13:13] [19ef54504342c1b076371d395a2ab19f] [Current]
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Dataseries X:
2218	22780	517
1855	17351	525
2187	21382	523
1852	24561	519
1570	17409	509
1851	11514	512
1954	31514	519
1828	27071	517
2251	29462	510
2277	26105	509
2085	22397	501
2282	23843	507
2266	21705	569
1878	18089	580
2267	20764	578
2069	25316	565
1746	17704	547
2299	15548	555
2360	28029	562
2214	29383	561
2825	36438	555
2355	32034	544
2333	22679	537
3016	24319	543
2155	18004	594
2172	17537	611
2150	20366	613
2533	22782	611
2058	19169	594
2160	13807	595
2259	29743	591
2498	25591	589
2695	29096	584
2799	26482	573
2945	22405	567
2930	27044	569
2318	17970	621
2540	18730	629
2570	19684	628
2669	19785	612
2450	18479	595
2842	10698	597
3439	31956	593
2677	29506	590
2979	34506	580
2257	27165	574
2842	26736	573
2546	23691	573
2455	18157	620
2293	17328	626
2379	18205	620
2478	20995	588
2054	17382	566
2272	9367	557
2351	31124	561
2271	26551	549
2542	30651	532
2304	25859	526
2194	25100	511
2722	25778	499
2395	20418	555
2146	18688	565
1894	20424	542
2548	24776	527
2087	19814	510
2063	12738	514
2481	31566	517
2476	30111	508
2212	30019	493
2834	31934	490
2148	25826	469
2598	26835	478




Summary of computational 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 computational 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=23270&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]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=23270&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23270&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 computational 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
189.888820216977
2101.049492824061
3142.330601066672
4154.356729688083
5168.683134900914
6169.333989500041
7199.934989434066
8255.337032175123
9257.085588860986
10257.614052411742
11262.840753087169
12268.806621942243
13279.973213004387
14291.28165064075
15305.36044275577
16311.698572341934
17313.020766084297
18315.576298752987
19325.584511759367
20335.687354542884
21378.866754432308
22380.04488053044
23394.564128418664
24410.438789589873
25424.730272516777
26427.940320764412
27429.721799349890
28442.861152055585
29462.817458616245
30490.956176300223
31492.297674176915
32570.834639871124
33571.94797735281
34601.061586932748
35651.092927315295
36654.31567305086
37718.069228092203
38772.427627741678
39781.23264851462
40865.092542845094
41898.939887466432
42919.067738209707
43937.11067051689
44953.444336516843
45955.024307338376
46970.57147264558
471076.44368175952
481286.53099457417
491375.44652925420
501405.77258381639
511433.59897761797
521566.05436647053
531795.01582037278
541866.93467542671
551938.28919410907
561995.70189279349
572011.48297883199
582207.16223636115
592685.97807111100
603976.52371804947
614028.98411990258
624545.55088286661
637099.5090708722
647920.33237167446
659026.09243893818
6613662.1615883572
6721195.0416999384
6822130.2240879234
6946113.303184552
7077865.9031322886
71220410.836013535

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 89.888820216977 \tabularnewline
2 & 101.049492824061 \tabularnewline
3 & 142.330601066672 \tabularnewline
4 & 154.356729688083 \tabularnewline
5 & 168.683134900914 \tabularnewline
6 & 169.333989500041 \tabularnewline
7 & 199.934989434066 \tabularnewline
8 & 255.337032175123 \tabularnewline
9 & 257.085588860986 \tabularnewline
10 & 257.614052411742 \tabularnewline
11 & 262.840753087169 \tabularnewline
12 & 268.806621942243 \tabularnewline
13 & 279.973213004387 \tabularnewline
14 & 291.28165064075 \tabularnewline
15 & 305.36044275577 \tabularnewline
16 & 311.698572341934 \tabularnewline
17 & 313.020766084297 \tabularnewline
18 & 315.576298752987 \tabularnewline
19 & 325.584511759367 \tabularnewline
20 & 335.687354542884 \tabularnewline
21 & 378.866754432308 \tabularnewline
22 & 380.04488053044 \tabularnewline
23 & 394.564128418664 \tabularnewline
24 & 410.438789589873 \tabularnewline
25 & 424.730272516777 \tabularnewline
26 & 427.940320764412 \tabularnewline
27 & 429.721799349890 \tabularnewline
28 & 442.861152055585 \tabularnewline
29 & 462.817458616245 \tabularnewline
30 & 490.956176300223 \tabularnewline
31 & 492.297674176915 \tabularnewline
32 & 570.834639871124 \tabularnewline
33 & 571.94797735281 \tabularnewline
34 & 601.061586932748 \tabularnewline
35 & 651.092927315295 \tabularnewline
36 & 654.31567305086 \tabularnewline
37 & 718.069228092203 \tabularnewline
38 & 772.427627741678 \tabularnewline
39 & 781.23264851462 \tabularnewline
40 & 865.092542845094 \tabularnewline
41 & 898.939887466432 \tabularnewline
42 & 919.067738209707 \tabularnewline
43 & 937.11067051689 \tabularnewline
44 & 953.444336516843 \tabularnewline
45 & 955.024307338376 \tabularnewline
46 & 970.57147264558 \tabularnewline
47 & 1076.44368175952 \tabularnewline
48 & 1286.53099457417 \tabularnewline
49 & 1375.44652925420 \tabularnewline
50 & 1405.77258381639 \tabularnewline
51 & 1433.59897761797 \tabularnewline
52 & 1566.05436647053 \tabularnewline
53 & 1795.01582037278 \tabularnewline
54 & 1866.93467542671 \tabularnewline
55 & 1938.28919410907 \tabularnewline
56 & 1995.70189279349 \tabularnewline
57 & 2011.48297883199 \tabularnewline
58 & 2207.16223636115 \tabularnewline
59 & 2685.97807111100 \tabularnewline
60 & 3976.52371804947 \tabularnewline
61 & 4028.98411990258 \tabularnewline
62 & 4545.55088286661 \tabularnewline
63 & 7099.5090708722 \tabularnewline
64 & 7920.33237167446 \tabularnewline
65 & 9026.09243893818 \tabularnewline
66 & 13662.1615883572 \tabularnewline
67 & 21195.0416999384 \tabularnewline
68 & 22130.2240879234 \tabularnewline
69 & 46113.303184552 \tabularnewline
70 & 77865.9031322886 \tabularnewline
71 & 220410.836013535 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=23270&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]89.888820216977[/C][/ROW]
[ROW][C]2[/C][C]101.049492824061[/C][/ROW]
[ROW][C]3[/C][C]142.330601066672[/C][/ROW]
[ROW][C]4[/C][C]154.356729688083[/C][/ROW]
[ROW][C]5[/C][C]168.683134900914[/C][/ROW]
[ROW][C]6[/C][C]169.333989500041[/C][/ROW]
[ROW][C]7[/C][C]199.934989434066[/C][/ROW]
[ROW][C]8[/C][C]255.337032175123[/C][/ROW]
[ROW][C]9[/C][C]257.085588860986[/C][/ROW]
[ROW][C]10[/C][C]257.614052411742[/C][/ROW]
[ROW][C]11[/C][C]262.840753087169[/C][/ROW]
[ROW][C]12[/C][C]268.806621942243[/C][/ROW]
[ROW][C]13[/C][C]279.973213004387[/C][/ROW]
[ROW][C]14[/C][C]291.28165064075[/C][/ROW]
[ROW][C]15[/C][C]305.36044275577[/C][/ROW]
[ROW][C]16[/C][C]311.698572341934[/C][/ROW]
[ROW][C]17[/C][C]313.020766084297[/C][/ROW]
[ROW][C]18[/C][C]315.576298752987[/C][/ROW]
[ROW][C]19[/C][C]325.584511759367[/C][/ROW]
[ROW][C]20[/C][C]335.687354542884[/C][/ROW]
[ROW][C]21[/C][C]378.866754432308[/C][/ROW]
[ROW][C]22[/C][C]380.04488053044[/C][/ROW]
[ROW][C]23[/C][C]394.564128418664[/C][/ROW]
[ROW][C]24[/C][C]410.438789589873[/C][/ROW]
[ROW][C]25[/C][C]424.730272516777[/C][/ROW]
[ROW][C]26[/C][C]427.940320764412[/C][/ROW]
[ROW][C]27[/C][C]429.721799349890[/C][/ROW]
[ROW][C]28[/C][C]442.861152055585[/C][/ROW]
[ROW][C]29[/C][C]462.817458616245[/C][/ROW]
[ROW][C]30[/C][C]490.956176300223[/C][/ROW]
[ROW][C]31[/C][C]492.297674176915[/C][/ROW]
[ROW][C]32[/C][C]570.834639871124[/C][/ROW]
[ROW][C]33[/C][C]571.94797735281[/C][/ROW]
[ROW][C]34[/C][C]601.061586932748[/C][/ROW]
[ROW][C]35[/C][C]651.092927315295[/C][/ROW]
[ROW][C]36[/C][C]654.31567305086[/C][/ROW]
[ROW][C]37[/C][C]718.069228092203[/C][/ROW]
[ROW][C]38[/C][C]772.427627741678[/C][/ROW]
[ROW][C]39[/C][C]781.23264851462[/C][/ROW]
[ROW][C]40[/C][C]865.092542845094[/C][/ROW]
[ROW][C]41[/C][C]898.939887466432[/C][/ROW]
[ROW][C]42[/C][C]919.067738209707[/C][/ROW]
[ROW][C]43[/C][C]937.11067051689[/C][/ROW]
[ROW][C]44[/C][C]953.444336516843[/C][/ROW]
[ROW][C]45[/C][C]955.024307338376[/C][/ROW]
[ROW][C]46[/C][C]970.57147264558[/C][/ROW]
[ROW][C]47[/C][C]1076.44368175952[/C][/ROW]
[ROW][C]48[/C][C]1286.53099457417[/C][/ROW]
[ROW][C]49[/C][C]1375.44652925420[/C][/ROW]
[ROW][C]50[/C][C]1405.77258381639[/C][/ROW]
[ROW][C]51[/C][C]1433.59897761797[/C][/ROW]
[ROW][C]52[/C][C]1566.05436647053[/C][/ROW]
[ROW][C]53[/C][C]1795.01582037278[/C][/ROW]
[ROW][C]54[/C][C]1866.93467542671[/C][/ROW]
[ROW][C]55[/C][C]1938.28919410907[/C][/ROW]
[ROW][C]56[/C][C]1995.70189279349[/C][/ROW]
[ROW][C]57[/C][C]2011.48297883199[/C][/ROW]
[ROW][C]58[/C][C]2207.16223636115[/C][/ROW]
[ROW][C]59[/C][C]2685.97807111100[/C][/ROW]
[ROW][C]60[/C][C]3976.52371804947[/C][/ROW]
[ROW][C]61[/C][C]4028.98411990258[/C][/ROW]
[ROW][C]62[/C][C]4545.55088286661[/C][/ROW]
[ROW][C]63[/C][C]7099.5090708722[/C][/ROW]
[ROW][C]64[/C][C]7920.33237167446[/C][/ROW]
[ROW][C]65[/C][C]9026.09243893818[/C][/ROW]
[ROW][C]66[/C][C]13662.1615883572[/C][/ROW]
[ROW][C]67[/C][C]21195.0416999384[/C][/ROW]
[ROW][C]68[/C][C]22130.2240879234[/C][/ROW]
[ROW][C]69[/C][C]46113.303184552[/C][/ROW]
[ROW][C]70[/C][C]77865.9031322886[/C][/ROW]
[ROW][C]71[/C][C]220410.836013535[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=23270&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=23270&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
189.888820216977
2101.049492824061
3142.330601066672
4154.356729688083
5168.683134900914
6169.333989500041
7199.934989434066
8255.337032175123
9257.085588860986
10257.614052411742
11262.840753087169
12268.806621942243
13279.973213004387
14291.28165064075
15305.36044275577
16311.698572341934
17313.020766084297
18315.576298752987
19325.584511759367
20335.687354542884
21378.866754432308
22380.04488053044
23394.564128418664
24410.438789589873
25424.730272516777
26427.940320764412
27429.721799349890
28442.861152055585
29462.817458616245
30490.956176300223
31492.297674176915
32570.834639871124
33571.94797735281
34601.061586932748
35651.092927315295
36654.31567305086
37718.069228092203
38772.427627741678
39781.23264851462
40865.092542845094
41898.939887466432
42919.067738209707
43937.11067051689
44953.444336516843
45955.024307338376
46970.57147264558
471076.44368175952
481286.53099457417
491375.44652925420
501405.77258381639
511433.59897761797
521566.05436647053
531795.01582037278
541866.93467542671
551938.28919410907
561995.70189279349
572011.48297883199
582207.16223636115
592685.97807111100
603976.52371804947
614028.98411990258
624545.55088286661
637099.5090708722
647920.33237167446
659026.09243893818
6613662.1615883572
6721195.0416999384
6822130.2240879234
6946113.303184552
7077865.9031322886
71220410.836013535



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')
}