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Author's title

Author

*Unverified author*

R Software Module

rwasp_hierarchicalclustering.wasp

Title produced by software

Hierarchical Clustering

Date of computation

Tue, 29 Nov 2022 21:58:56 +0100

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/2022/Nov/29/t16697555613lg5jlsvf2dh230.htm/, Retrieved Tue, 08 Sep 2026 12:45:49 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319787, Retrieved Tue, 08 Sep 2026 12:45:49 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

316

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

-       [Hierarchical Clustering] [] [2022-11-29 20:58:56] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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Dataseries X:

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Histogram

Boxplots

5.842.825.709	1.41
3.371.012.417	5.43
3.781.884.567	5.24
3.804.207.605	5.51
3.530.135.638	3.94
4.844.545.514	1.33
4.765.161.706	0.69
4.404.183.498	1.29
4.391.323.327	1.64
2.674.861.141	2.8
3.074.926.097	1.88
3.065.579.715	2.52
2.911.690.159	2.5
2.854.306.042	1.4
2.680.516.809	1.53
2.626.340.367	1.26
2.744.292.983	1.99
2.547.159.121	0.2
2.806.179.974	0.92
3.239.899.817	3.34
1.051.808.294	1.88
0.7923916895	1.471
3.260.453.018	3.53
3.193.347.256	3.01
3.420.632.258	1.94
3.382.071.101	1.83
1.921.686.475	0.86
3.410.726.633	1.88
229.710.365	1.15
2.401.572.846	1.61
2.725.094.521	0.984
2.749.272.408	1.43
2.882.979.654	1.24
28.659.918	1.09
2.130.333.768	1.4
2.027.349.608	1.6
19.495.193	0.67
1.764.176.132	0.69
163.447.727	0.7
1.609.594.409	0.7
0.1613680022	0.31
2.372.543.801	1.2
276.260.355	1.59
2.766.933.094	1.39
2.896.746.616	1.71
2.881.612.872	1.63
3.131.426.172	2.06
2.230.448.921	1.5
2.782.472.624	1.71
2.419.460.073	3.42
1.195.899.652	2.6
0.785329835	2.7
0.9253120915	2.4
0.0881360887	2.1
2.194.514.342	1.9
1.698.970.004	5.55
1.397.940.009	1.3
0.214843848	3.7
1.546.542.663	2
0.6812412374	1.7
-0.5808706923	0.7
-0.361510743	1.27
2.029.383.778	1.2
2.133.538.908	1.2
2.346.431.219	1.4
2.133.538.908	1.5
0.5440680444	2.61
2.154.728.207	3.4
1.740.362.689	1.25
1.869.407.749	0.81
1.986.771.734	1.57
0.4842998393	1.64
0.361727836	0.88
1.926.342.447	0.8
1.880.813.592	0.66
2.049.218.023	1.37
-0.408935393	1.7
1.354.684.554	0.235
0.3979400087	0.6
0.3802112417	0.3
0.4771212547	0.62
0.7403626895	0.6
0.3010299957	0.533
-0.6197887583	3.3
-0.2218487496	0.2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time1 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=319787&T=0

[TABLE]
[ROW]

Summary of computational transaction[/C][/ROW] [ROW]

Raw Input[/C]

view raw input (R code) [/C][/ROW] [ROW]

Raw Output[/C]

view raw output of R engine [/C][/ROW] [ROW]

Computing time[/C]

1 seconds[/C][/ROW] [ROW]

R Server[/C]

Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=319787&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319787&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	1 seconds
R Server	Big Analytics Cloud Computing Center

Parameters (Session):

par1 = complete ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;

Parameters (R input):

par1 = complete ; 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

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code