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Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationWed, 12 Nov 2008 08:18:40 -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/12/t122650316018a1ykke9pht7g5.htm/, Retrieved Mon, 20 May 2024 07:45:01 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24240, Retrieved Mon, 20 May 2024 07:45:01 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact136
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [Opdracht3Q2] [2008-11-12 15:18:40] [e8ace8b3d80d7fc51f1760fb13a6fe6b] [Current]
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Dataseries X:
9987	4881	5107
10022	4899	5123
10068	4923	5145
10101	4940	5161
10131	4956	5175
10143	4959	5184
10170	4972	5198
10192	4983	5209
10214	4994	5220
10239	5007	5233
10263	5018	5245
10310	5042	5268
10355	5068	5288
10396	5087	5309
10446	5112	5334
10511	5144	5367
10585	5182	5402
10667	5224	5443




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=24240&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=24240&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24240&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
115.2970585407784
226.9443871706150
329
440.4227658628155
542.485291572496
644.9073119510249
749.829710013204
879.6115569499806
986.411943409931
10100.817577337982
11100.841459727634
12187.181039862771
13195.822698108476
14266.047548928037
15476.372436832011
16722.494678600463
172211.46108273296

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 15.2970585407784 \tabularnewline
2 & 26.9443871706150 \tabularnewline
3 & 29 \tabularnewline
4 & 40.4227658628155 \tabularnewline
5 & 42.485291572496 \tabularnewline
6 & 44.9073119510249 \tabularnewline
7 & 49.829710013204 \tabularnewline
8 & 79.6115569499806 \tabularnewline
9 & 86.411943409931 \tabularnewline
10 & 100.817577337982 \tabularnewline
11 & 100.841459727634 \tabularnewline
12 & 187.181039862771 \tabularnewline
13 & 195.822698108476 \tabularnewline
14 & 266.047548928037 \tabularnewline
15 & 476.372436832011 \tabularnewline
16 & 722.494678600463 \tabularnewline
17 & 2211.46108273296 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24240&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]15.2970585407784[/C][/ROW]
[ROW][C]2[/C][C]26.9443871706150[/C][/ROW]
[ROW][C]3[/C][C]29[/C][/ROW]
[ROW][C]4[/C][C]40.4227658628155[/C][/ROW]
[ROW][C]5[/C][C]42.485291572496[/C][/ROW]
[ROW][C]6[/C][C]44.9073119510249[/C][/ROW]
[ROW][C]7[/C][C]49.829710013204[/C][/ROW]
[ROW][C]8[/C][C]79.6115569499806[/C][/ROW]
[ROW][C]9[/C][C]86.411943409931[/C][/ROW]
[ROW][C]10[/C][C]100.817577337982[/C][/ROW]
[ROW][C]11[/C][C]100.841459727634[/C][/ROW]
[ROW][C]12[/C][C]187.181039862771[/C][/ROW]
[ROW][C]13[/C][C]195.822698108476[/C][/ROW]
[ROW][C]14[/C][C]266.047548928037[/C][/ROW]
[ROW][C]15[/C][C]476.372436832011[/C][/ROW]
[ROW][C]16[/C][C]722.494678600463[/C][/ROW]
[ROW][C]17[/C][C]2211.46108273296[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24240&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24240&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
115.2970585407784
226.9443871706150
329
440.4227658628155
542.485291572496
644.9073119510249
749.829710013204
879.6115569499806
986.411943409931
10100.817577337982
11100.841459727634
12187.181039862771
13195.822698108476
14266.047548928037
15476.372436832011
16722.494678600463
172211.46108273296



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')
}