FreeStatistics.org

Free Statistics

of Irreproducible Research!

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, 05 Dec 2008 03:21:37 -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/Dec/05/t12284725505w3ms9jsvxpt4ww.htm/, Retrieved Thu, 16 May 2024 08:19:12 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=29135, Retrieved Thu, 16 May 2024 08:19:12 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Hierarchical Clustering] [paper] [2007-12-05 22:51:14] [8d3192ea84fef628e5e980e3df2ac42d]
-    D  [Hierarchical Clustering] [paper 1.12 Hierar...] [2008-12-05 10:19:00] [819b576fab25b35cfda70f80599828ec]
-    D      [Hierarchical Clustering] [paper 1.12 hierar...] [2008-12-05 10:21:37] [874a6c68d78ef249b764253ab4d843bb] [Current]
-             [Hierarchical Clustering] [paper 1.12 hierar...] [2008-12-08 21:15:21] [2bd2ad6af3eef3a703e9ec23e39bd695]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
58.972
59.249
63.955
53.785
52.760
44.795
37.348
32.370
32.717
40.974
33.591
21.124
58.608
46.865
51.378
46.235
47.206
45.382
41.227
33.795
31.295
42.625
33.625
21.538
56.421
53.152
53.536
52.408
41.454
38.271
35.306
26.414
31.917
38.030
27.534
18.387
50.556
43.901
48.572
43.899
37.532
40.357
35.489
29.027
34.485
42.598
30.306
26.451
47.460
50.104
61.465
53.726
39.477
43.895
31.481
29.896
33.842
39.120
33.702
25.094

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'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 & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29135&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]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29135&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29135&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'Gwilym Jenkins' @ 72.249.127.135






Summary of Dendrogram
LabelHeight
10.00200000000000244
20.00599999999999786
30.027000000000001
40.0339999999999989
50.036999999999999
60.046999999999997
70.0589999999999975
80.113999999999997
90.183
100.183999999999997
110.186
120.227000000000004
130.241000000000000
140.253999999999998
150.272999999999996
160.277000000000001
170.342600000000004
180.347000000000001
190.351999999999997
200.356999999999999
210.41
220.413000000000001
230.414000000000001
240.451999999999998
250.539333333333334
260.577666666666673
270.586999999999996
280.640000000000003
290.643333333333333
301.13200000000000
311.15566666666666
321.20850000000001
331.21466666666667
341.24666666666667
351.29533333333333
361.45633333333333
371.81006666666666
382.065
392.18516666666667
402.2072
412.48999999999999
422.50100000000000
433.22616666666666
443.56933333333333
453.68066666666667
463.78733333333333
474.14548333333333
486.11301666666667
497.9318888888889
508.592
5110.8104
5214.1088333333333
5316.41275
5416.6750238095238
5538.7685777777778
5643.2395060606061
5759.3443276397516
58152.260675020475
59315.25728413631

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.00200000000000244 \tabularnewline
2 & 0.00599999999999786 \tabularnewline
3 & 0.027000000000001 \tabularnewline
4 & 0.0339999999999989 \tabularnewline
5 & 0.036999999999999 \tabularnewline
6 & 0.046999999999997 \tabularnewline
7 & 0.0589999999999975 \tabularnewline
8 & 0.113999999999997 \tabularnewline
9 & 0.183 \tabularnewline
10 & 0.183999999999997 \tabularnewline
11 & 0.186 \tabularnewline
12 & 0.227000000000004 \tabularnewline
13 & 0.241000000000000 \tabularnewline
14 & 0.253999999999998 \tabularnewline
15 & 0.272999999999996 \tabularnewline
16 & 0.277000000000001 \tabularnewline
17 & 0.342600000000004 \tabularnewline
18 & 0.347000000000001 \tabularnewline
19 & 0.351999999999997 \tabularnewline
20 & 0.356999999999999 \tabularnewline
21 & 0.41 \tabularnewline
22 & 0.413000000000001 \tabularnewline
23 & 0.414000000000001 \tabularnewline
24 & 0.451999999999998 \tabularnewline
25 & 0.539333333333334 \tabularnewline
26 & 0.577666666666673 \tabularnewline
27 & 0.586999999999996 \tabularnewline
28 & 0.640000000000003 \tabularnewline
29 & 0.643333333333333 \tabularnewline
30 & 1.13200000000000 \tabularnewline
31 & 1.15566666666666 \tabularnewline
32 & 1.20850000000001 \tabularnewline
33 & 1.21466666666667 \tabularnewline
34 & 1.24666666666667 \tabularnewline
35 & 1.29533333333333 \tabularnewline
36 & 1.45633333333333 \tabularnewline
37 & 1.81006666666666 \tabularnewline
38 & 2.065 \tabularnewline
39 & 2.18516666666667 \tabularnewline
40 & 2.2072 \tabularnewline
41 & 2.48999999999999 \tabularnewline
42 & 2.50100000000000 \tabularnewline
43 & 3.22616666666666 \tabularnewline
44 & 3.56933333333333 \tabularnewline
45 & 3.68066666666667 \tabularnewline
46 & 3.78733333333333 \tabularnewline
47 & 4.14548333333333 \tabularnewline
48 & 6.11301666666667 \tabularnewline
49 & 7.9318888888889 \tabularnewline
50 & 8.592 \tabularnewline
51 & 10.8104 \tabularnewline
52 & 14.1088333333333 \tabularnewline
53 & 16.41275 \tabularnewline
54 & 16.6750238095238 \tabularnewline
55 & 38.7685777777778 \tabularnewline
56 & 43.2395060606061 \tabularnewline
57 & 59.3443276397516 \tabularnewline
58 & 152.260675020475 \tabularnewline
59 & 315.25728413631 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=29135&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.00200000000000244[/C][/ROW]
[ROW][C]2[/C][C]0.00599999999999786[/C][/ROW]
[ROW][C]3[/C][C]0.027000000000001[/C][/ROW]
[ROW][C]4[/C][C]0.0339999999999989[/C][/ROW]
[ROW][C]5[/C][C]0.036999999999999[/C][/ROW]
[ROW][C]6[/C][C]0.046999999999997[/C][/ROW]
[ROW][C]7[/C][C]0.0589999999999975[/C][/ROW]
[ROW][C]8[/C][C]0.113999999999997[/C][/ROW]
[ROW][C]9[/C][C]0.183[/C][/ROW]
[ROW][C]10[/C][C]0.183999999999997[/C][/ROW]
[ROW][C]11[/C][C]0.186[/C][/ROW]
[ROW][C]12[/C][C]0.227000000000004[/C][/ROW]
[ROW][C]13[/C][C]0.241000000000000[/C][/ROW]
[ROW][C]14[/C][C]0.253999999999998[/C][/ROW]
[ROW][C]15[/C][C]0.272999999999996[/C][/ROW]
[ROW][C]16[/C][C]0.277000000000001[/C][/ROW]
[ROW][C]17[/C][C]0.342600000000004[/C][/ROW]
[ROW][C]18[/C][C]0.347000000000001[/C][/ROW]
[ROW][C]19[/C][C]0.351999999999997[/C][/ROW]
[ROW][C]20[/C][C]0.356999999999999[/C][/ROW]
[ROW][C]21[/C][C]0.41[/C][/ROW]
[ROW][C]22[/C][C]0.413000000000001[/C][/ROW]
[ROW][C]23[/C][C]0.414000000000001[/C][/ROW]
[ROW][C]24[/C][C]0.451999999999998[/C][/ROW]
[ROW][C]25[/C][C]0.539333333333334[/C][/ROW]
[ROW][C]26[/C][C]0.577666666666673[/C][/ROW]
[ROW][C]27[/C][C]0.586999999999996[/C][/ROW]
[ROW][C]28[/C][C]0.640000000000003[/C][/ROW]
[ROW][C]29[/C][C]0.643333333333333[/C][/ROW]
[ROW][C]30[/C][C]1.13200000000000[/C][/ROW]
[ROW][C]31[/C][C]1.15566666666666[/C][/ROW]
[ROW][C]32[/C][C]1.20850000000001[/C][/ROW]
[ROW][C]33[/C][C]1.21466666666667[/C][/ROW]
[ROW][C]34[/C][C]1.24666666666667[/C][/ROW]
[ROW][C]35[/C][C]1.29533333333333[/C][/ROW]
[ROW][C]36[/C][C]1.45633333333333[/C][/ROW]
[ROW][C]37[/C][C]1.81006666666666[/C][/ROW]
[ROW][C]38[/C][C]2.065[/C][/ROW]
[ROW][C]39[/C][C]2.18516666666667[/C][/ROW]
[ROW][C]40[/C][C]2.2072[/C][/ROW]
[ROW][C]41[/C][C]2.48999999999999[/C][/ROW]
[ROW][C]42[/C][C]2.50100000000000[/C][/ROW]
[ROW][C]43[/C][C]3.22616666666666[/C][/ROW]
[ROW][C]44[/C][C]3.56933333333333[/C][/ROW]
[ROW][C]45[/C][C]3.68066666666667[/C][/ROW]
[ROW][C]46[/C][C]3.78733333333333[/C][/ROW]
[ROW][C]47[/C][C]4.14548333333333[/C][/ROW]
[ROW][C]48[/C][C]6.11301666666667[/C][/ROW]
[ROW][C]49[/C][C]7.9318888888889[/C][/ROW]
[ROW][C]50[/C][C]8.592[/C][/ROW]
[ROW][C]51[/C][C]10.8104[/C][/ROW]
[ROW][C]52[/C][C]14.1088333333333[/C][/ROW]
[ROW][C]53[/C][C]16.41275[/C][/ROW]
[ROW][C]54[/C][C]16.6750238095238[/C][/ROW]
[ROW][C]55[/C][C]38.7685777777778[/C][/ROW]
[ROW][C]56[/C][C]43.2395060606061[/C][/ROW]
[ROW][C]57[/C][C]59.3443276397516[/C][/ROW]
[ROW][C]58[/C][C]152.260675020475[/C][/ROW]
[ROW][C]59[/C][C]315.25728413631[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=29135&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=29135&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
10.00200000000000244
20.00599999999999786
30.027000000000001
40.0339999999999989
50.036999999999999
60.046999999999997
70.0589999999999975
80.113999999999997
90.183
100.183999999999997
110.186
120.227000000000004
130.241000000000000
140.253999999999998
150.272999999999996
160.277000000000001
170.342600000000004
180.347000000000001
190.351999999999997
200.356999999999999
210.41
220.413000000000001
230.414000000000001
240.451999999999998
250.539333333333334
260.577666666666673
270.586999999999996
280.640000000000003
290.643333333333333
301.13200000000000
311.15566666666666
321.20850000000001
331.21466666666667
341.24666666666667
351.29533333333333
361.45633333333333
371.81006666666666
382.065
392.18516666666667
402.2072
412.48999999999999
422.50100000000000
433.22616666666666
443.56933333333333
453.68066666666667
463.78733333333333
474.14548333333333
486.11301666666667
497.9318888888889
508.592
5110.8104
5214.1088333333333
5316.41275
5416.6750238095238
5538.7685777777778
5643.2395060606061
5759.3443276397516
58152.260675020475
59315.25728413631


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 ;
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')
}