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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_hierarchicalclustering.wasp

Title produced by software

Hierarchical Clustering

Date of computation

Wed, 12 Nov 2008 07:59:33 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/12/t1226502024ux3w9zrochtlvod.htm/, Retrieved Sun, 19 May 2024 08:55:52 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24227, Retrieved Sun, 19 May 2024 08:55:52 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

164

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

F       [Hierarchical Clustering] [Q2 Various EDA to...] [2008-11-12 14:59:33] [56fd94b954e08a6655cb7790b21ee404] [Current]

Feedback Forum

2008-11-22 10:56:33 [Stephanie Vanderlinden] [reply] 
De studente bekomt het nodige dendogram, maar trekt hier geen conclusies uit. Ze zegt ook niet of er patronen te ontdekken zijn in de verschillende periodes. Bij hierarchial clustering geeft elke tak periodes weer die gelijkaardig zijn. Daarna moet je kijken welke periodes behoren tot welke cluster. Deze opsplitsing van clusters gebeurt tot dat je op 1 periode terechtkomt.
2008-11-23 14:37:21 [Alexander Hendrickx] [reply] 
Het dendogram werd goed opgesteld, maar er werden geen verklaringen gegeven waarom er welke clusters en vertakkingen gevormd zijn, en wat deze dan te betekenen hebben.
2008-11-24 18:12:23 [Jan De Vleeschauwer] [reply] 
dendogram goed gekozen, conclusie niet gegeven.
2008-11-24 20:26:21 [94a54c888ac7f7d6874c3108eb0e1808] [reply] 
Correcte berekening. Via een dendrogram kunnen we de perioden in groepen kunnen indelen die gelijk zijn.

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Dataseries X:

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Histogram

Boxplots

0,9059	109,86	7,4367
0,8883	108,68	7,4452
0,8924	113,38	7,4431
0,8833	117,12	7,4329
0,8700	116,23	7,4299
0,8758	114,75	7,4324
0,8858	115,81	7,4341
0,9170	115,86	7,4356
0,9554	117,80	7,4330
0,9922	117,11	7,4301
0,9778	116,31	7,4270
0,9808	118,38	7,4271
0,9811	121,57	7,4297
1,0014	121,65	7,4280
1,0183	124,20	7,4264

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 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 & 0 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24227&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]0 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=24227&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24227&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 Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	0 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Summary of Dendrogram
Label	Height
1	0.0589549828258792
2	0.0825528921359028
3	0.109394012633234
4	0.134273042715207
5	0.580585885119504
6	0.781360071406344
7	1.18016185754327
8	1.37014234661951
9	1.60932660849046
10	3.42603013443799
11	4.06362154927621
12	6.68485938342996
13	19.8017437094780
14	25.2770766014930

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.0589549828258792 \tabularnewline
2 & 0.0825528921359028 \tabularnewline
3 & 0.109394012633234 \tabularnewline
4 & 0.134273042715207 \tabularnewline
5 & 0.580585885119504 \tabularnewline
6 & 0.781360071406344 \tabularnewline
7 & 1.18016185754327 \tabularnewline
8 & 1.37014234661951 \tabularnewline
9 & 1.60932660849046 \tabularnewline
10 & 3.42603013443799 \tabularnewline
11 & 4.06362154927621 \tabularnewline
12 & 6.68485938342996 \tabularnewline
13 & 19.8017437094780 \tabularnewline
14 & 25.2770766014930 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24227&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.0589549828258792[/C][/ROW]
[ROW][C]2[/C][C]0.0825528921359028[/C][/ROW]
[ROW][C]3[/C][C]0.109394012633234[/C][/ROW]
[ROW][C]4[/C][C]0.134273042715207[/C][/ROW]
[ROW][C]5[/C][C]0.580585885119504[/C][/ROW]
[ROW][C]6[/C][C]0.781360071406344[/C][/ROW]
[ROW][C]7[/C][C]1.18016185754327[/C][/ROW]
[ROW][C]8[/C][C]1.37014234661951[/C][/ROW]
[ROW][C]9[/C][C]1.60932660849046[/C][/ROW]
[ROW][C]10[/C][C]3.42603013443799[/C][/ROW]
[ROW][C]11[/C][C]4.06362154927621[/C][/ROW]
[ROW][C]12[/C][C]6.68485938342996[/C][/ROW]
[ROW][C]13[/C][C]19.8017437094780[/C][/ROW]
[ROW][C]14[/C][C]25.2770766014930[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24227&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24227&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
Label	Height
1	0.0589549828258792
2	0.0825528921359028
3	0.109394012633234
4	0.134273042715207
5	0.580585885119504
6	0.781360071406344
7	1.18016185754327
8	1.37014234661951
9	1.60932660849046
10	3.42603013443799
11	4.06362154927621
12	6.68485938342996
13	19.8017437094780
14	25.2770766014930

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

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')
}

Free Statistics

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code