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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 computationFri, 21 Nov 2008 10:22:54 -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/21/t1227288238ih9tt56c6rzmmpv.htm/, Retrieved Wed, 15 May 2024 22:10:53 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=25151, Retrieved Wed, 15 May 2024 22:10:53 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact187

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Bivariate Kernel Density Estimation] [Q1 Bivariate Dens...] [2007-11-03 14:50:57] [e2ec4dc832988c648c062d4cdc574d44]
- RMPD  [Hierarchical Clustering] [WS4 Q2 dendrogram] [2007-11-05 10:02:49] [74be16979710d4c4e7c6647856088456]
F R  D    [Hierarchical Clustering] [eda various topic...] [2008-11-04 19:43:54] [077ffec662d24c06be4c491541a44245]
F   P       [Hierarchical Clustering] [Hierarchical clus...] [2008-11-11 16:01:43] [73d6180dc45497329efd1b6934a84aba]
F   P         [Hierarchical Clustering] [Hierarchical Clus...] [2008-11-11 17:33:24] [6816386b1f3c2f6c0c9f2aa1e5bc9362]
-                 [Hierarchical Clustering] [] [2008-11-21 17:22:54] [428345b1a3979ee2ad6751f9aac15fbb] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
11947.20	3423.40	12300.00
11714.10	3242.80	12092.80
12192.50	3277.20	12380.80
11268.80	3833.00	12196.90
9097.40	2606.30	9455.00
12639.80	3643.80	13168.00
13040.10	3686.40	13427.90
11687.30	3281.60	11980.50
11191.70	3669.30	11884.80
11391.90	3191.50	11691.70
11793.10	3512.70	12233.80
13933.20	3970.70	14341.40
12778.10	3601.20	13130.70
11810.30	3610.00	12421.10
13698.40	4172.10	14285.80
11956.60	3956.20	12864.60
10723.80	3142.70	11160.20
13938.90	3884.30	14316.20
13979.80	3892.20	14388.70
13807.40	3613.00	14013.90
12973.90	3730.50	13419.00
12509.80	3481.30	12769.60
12934.10	3649.50	13315.50
14908.30	4215.20	15332.90
13772.10	4066.60	14243.00
13012.60	4196.80	13824.40
14049.90	4536.60	14962.90
11816.50	4441.60	13202.90
11593.20	3548.30	12199.00
14466.20	4735.90	15508.90
13615.90	4130.60	14199.80
14733.90	4356.20	15169.60
13880.70	4159.60	14058.00
13527.50	3988.00	13786.20
13584.00	4167.80	14147.90
16170.20	4902.20	16541.70
13260.60	3909.40	13587.50
14741.90	4697.60	15582.40
15486.50	4308.90	15802.80
13154.50	4420.40	14130.50
12621.20	3544.20	12923.20
15031.60	4433.00	15612.20
15452.40	4479.70	16033.70
15428.00	4533.20	16036.60
13105.90	4237.50	14037.80
14716.80	4207.40	15330.60
14180.00	4394.00	15038.30
16202.20	5148.40	17401.80
14392.40	4202.20	14992.50
15140.60	4682.50	16043.70
15960.10	4884.30	16929.60
14351.30	5288.90	15921.30
13230.20	4505.20	14417.20
15202.10	4611.50	15961.00
17157.30	5081.10	17851.90
16159.10	4523.10	16483.90
13405.70	4412.80	14215.50
17224.70	4647.40	17429.70
17338.40	4778.60	17839.50
17370.60	4495.30	17629.20

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'Sir Ronald Aylmer Fisher' @ 193.190.124.24

\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 & 'Sir Ronald Aylmer Fisher' @ 193.190.124.24 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25151&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]'Sir Ronald Aylmer Fisher' @ 193.190.124.24[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25151&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25151&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'Sir Ronald Aylmer Fisher' @ 193.190.124.24






Summary of Dendrogram
LabelHeight
158.8729139757833
271.3796889878341
380.0403648167603
483.6150106141234
5100.792445908091
6121.798891620572
7125.150069916082
8135.623670500397
9149.442095809716
10170.763679975343
11190.009841850364
12191.672585415860
13199.89829914234
14207.233998175975
15210.731250648783
16251.974593153570
17253.234418514006
18267.655720944961
19282.879656391194
20287.888224837348
21290.209355466014
22341.899488154048
23345.201057669090
24352.784948658529
25357.21805787034
26360.761015077849
27363.050870074737
28383.641577517348
29392.680881666245
30443.864905025195
31548.478861594952
32571.270450835997
33581.558481809988
34585.976917785901
35608.01978586227
36632.160129724235
37642.886134365859
38666.958226427777
39700.040271060167
40713.685381017474
41893.954512908427
421060.98916492270
431072.80352467187
441089.61183145671
451177.53254740611
461447.22537256197
471625.68516796945
481968.03073310601
492024.67027961783
502112.43457532737
512832.07038734833
523964.85128236961
534208.12007657897
546160.60497568623
556947.41051606335
568441.3301180984
5714286.1809364894
5829735.2824558029
5972382.460959145

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 58.8729139757833 \tabularnewline
2 & 71.3796889878341 \tabularnewline
3 & 80.0403648167603 \tabularnewline
4 & 83.6150106141234 \tabularnewline
5 & 100.792445908091 \tabularnewline
6 & 121.798891620572 \tabularnewline
7 & 125.150069916082 \tabularnewline
8 & 135.623670500397 \tabularnewline
9 & 149.442095809716 \tabularnewline
10 & 170.763679975343 \tabularnewline
11 & 190.009841850364 \tabularnewline
12 & 191.672585415860 \tabularnewline
13 & 199.89829914234 \tabularnewline
14 & 207.233998175975 \tabularnewline
15 & 210.731250648783 \tabularnewline
16 & 251.974593153570 \tabularnewline
17 & 253.234418514006 \tabularnewline
18 & 267.655720944961 \tabularnewline
19 & 282.879656391194 \tabularnewline
20 & 287.888224837348 \tabularnewline
21 & 290.209355466014 \tabularnewline
22 & 341.899488154048 \tabularnewline
23 & 345.201057669090 \tabularnewline
24 & 352.784948658529 \tabularnewline
25 & 357.21805787034 \tabularnewline
26 & 360.761015077849 \tabularnewline
27 & 363.050870074737 \tabularnewline
28 & 383.641577517348 \tabularnewline
29 & 392.680881666245 \tabularnewline
30 & 443.864905025195 \tabularnewline
31 & 548.478861594952 \tabularnewline
32 & 571.270450835997 \tabularnewline
33 & 581.558481809988 \tabularnewline
34 & 585.976917785901 \tabularnewline
35 & 608.01978586227 \tabularnewline
36 & 632.160129724235 \tabularnewline
37 & 642.886134365859 \tabularnewline
38 & 666.958226427777 \tabularnewline
39 & 700.040271060167 \tabularnewline
40 & 713.685381017474 \tabularnewline
41 & 893.954512908427 \tabularnewline
42 & 1060.98916492270 \tabularnewline
43 & 1072.80352467187 \tabularnewline
44 & 1089.61183145671 \tabularnewline
45 & 1177.53254740611 \tabularnewline
46 & 1447.22537256197 \tabularnewline
47 & 1625.68516796945 \tabularnewline
48 & 1968.03073310601 \tabularnewline
49 & 2024.67027961783 \tabularnewline
50 & 2112.43457532737 \tabularnewline
51 & 2832.07038734833 \tabularnewline
52 & 3964.85128236961 \tabularnewline
53 & 4208.12007657897 \tabularnewline
54 & 6160.60497568623 \tabularnewline
55 & 6947.41051606335 \tabularnewline
56 & 8441.3301180984 \tabularnewline
57 & 14286.1809364894 \tabularnewline
58 & 29735.2824558029 \tabularnewline
59 & 72382.460959145 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25151&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]58.8729139757833[/C][/ROW]
[ROW][C]2[/C][C]71.3796889878341[/C][/ROW]
[ROW][C]3[/C][C]80.0403648167603[/C][/ROW]
[ROW][C]4[/C][C]83.6150106141234[/C][/ROW]
[ROW][C]5[/C][C]100.792445908091[/C][/ROW]
[ROW][C]6[/C][C]121.798891620572[/C][/ROW]
[ROW][C]7[/C][C]125.150069916082[/C][/ROW]
[ROW][C]8[/C][C]135.623670500397[/C][/ROW]
[ROW][C]9[/C][C]149.442095809716[/C][/ROW]
[ROW][C]10[/C][C]170.763679975343[/C][/ROW]
[ROW][C]11[/C][C]190.009841850364[/C][/ROW]
[ROW][C]12[/C][C]191.672585415860[/C][/ROW]
[ROW][C]13[/C][C]199.89829914234[/C][/ROW]
[ROW][C]14[/C][C]207.233998175975[/C][/ROW]
[ROW][C]15[/C][C]210.731250648783[/C][/ROW]
[ROW][C]16[/C][C]251.974593153570[/C][/ROW]
[ROW][C]17[/C][C]253.234418514006[/C][/ROW]
[ROW][C]18[/C][C]267.655720944961[/C][/ROW]
[ROW][C]19[/C][C]282.879656391194[/C][/ROW]
[ROW][C]20[/C][C]287.888224837348[/C][/ROW]
[ROW][C]21[/C][C]290.209355466014[/C][/ROW]
[ROW][C]22[/C][C]341.899488154048[/C][/ROW]
[ROW][C]23[/C][C]345.201057669090[/C][/ROW]
[ROW][C]24[/C][C]352.784948658529[/C][/ROW]
[ROW][C]25[/C][C]357.21805787034[/C][/ROW]
[ROW][C]26[/C][C]360.761015077849[/C][/ROW]
[ROW][C]27[/C][C]363.050870074737[/C][/ROW]
[ROW][C]28[/C][C]383.641577517348[/C][/ROW]
[ROW][C]29[/C][C]392.680881666245[/C][/ROW]
[ROW][C]30[/C][C]443.864905025195[/C][/ROW]
[ROW][C]31[/C][C]548.478861594952[/C][/ROW]
[ROW][C]32[/C][C]571.270450835997[/C][/ROW]
[ROW][C]33[/C][C]581.558481809988[/C][/ROW]
[ROW][C]34[/C][C]585.976917785901[/C][/ROW]
[ROW][C]35[/C][C]608.01978586227[/C][/ROW]
[ROW][C]36[/C][C]632.160129724235[/C][/ROW]
[ROW][C]37[/C][C]642.886134365859[/C][/ROW]
[ROW][C]38[/C][C]666.958226427777[/C][/ROW]
[ROW][C]39[/C][C]700.040271060167[/C][/ROW]
[ROW][C]40[/C][C]713.685381017474[/C][/ROW]
[ROW][C]41[/C][C]893.954512908427[/C][/ROW]
[ROW][C]42[/C][C]1060.98916492270[/C][/ROW]
[ROW][C]43[/C][C]1072.80352467187[/C][/ROW]
[ROW][C]44[/C][C]1089.61183145671[/C][/ROW]
[ROW][C]45[/C][C]1177.53254740611[/C][/ROW]
[ROW][C]46[/C][C]1447.22537256197[/C][/ROW]
[ROW][C]47[/C][C]1625.68516796945[/C][/ROW]
[ROW][C]48[/C][C]1968.03073310601[/C][/ROW]
[ROW][C]49[/C][C]2024.67027961783[/C][/ROW]
[ROW][C]50[/C][C]2112.43457532737[/C][/ROW]
[ROW][C]51[/C][C]2832.07038734833[/C][/ROW]
[ROW][C]52[/C][C]3964.85128236961[/C][/ROW]
[ROW][C]53[/C][C]4208.12007657897[/C][/ROW]
[ROW][C]54[/C][C]6160.60497568623[/C][/ROW]
[ROW][C]55[/C][C]6947.41051606335[/C][/ROW]
[ROW][C]56[/C][C]8441.3301180984[/C][/ROW]
[ROW][C]57[/C][C]14286.1809364894[/C][/ROW]
[ROW][C]58[/C][C]29735.2824558029[/C][/ROW]
[ROW][C]59[/C][C]72382.460959145[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25151&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25151&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
158.8729139757833
271.3796889878341
380.0403648167603
483.6150106141234
5100.792445908091
6121.798891620572
7125.150069916082
8135.623670500397
9149.442095809716
10170.763679975343
11190.009841850364
12191.672585415860
13199.89829914234
14207.233998175975
15210.731250648783
16251.974593153570
17253.234418514006
18267.655720944961
19282.879656391194
20287.888224837348
21290.209355466014
22341.899488154048
23345.201057669090
24352.784948658529
25357.21805787034
26360.761015077849
27363.050870074737
28383.641577517348
29392.680881666245
30443.864905025195
31548.478861594952
32571.270450835997
33581.558481809988
34585.976917785901
35608.01978586227
36632.160129724235
37642.886134365859
38666.958226427777
39700.040271060167
40713.685381017474
41893.954512908427
421060.98916492270
431072.80352467187
441089.61183145671
451177.53254740611
461447.22537256197
471625.68516796945
481968.03073310601
492024.67027961783
502112.43457532737
512832.07038734833
523964.85128236961
534208.12007657897
546160.60497568623
556947.41051606335
568441.3301180984
5714286.1809364894
5829735.2824558029
5972382.460959145


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = ward ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ; par5 = ; par6 = ; par7 = ; par8 = ; par9 = ; par10 = ; par11 = ; par12 = ; par13 = ; par14 = ; par15 = ; par16 = ; par17 = ; par18 = ; par19 = ; par20 = ;
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')
}