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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

Wed, 12 Nov 2008 09:10:34 -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/t1226506317gpmykxs3pmud6xt.htm/, Retrieved Sun, 19 May 2024 11:31:47 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24268, Retrieved Sun, 19 May 2024 11:31:47 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

155

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

-       [Hierarchical Clustering] [Various EDA topic...] [2008-11-12 16:10:34] [80e37024345c6a903bf645806b7fbe14] [Current]

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Dataseries X:

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Histogram

Boxplots

3822,5	538,9	2828,3	4000,9	1609,3
4092,2	556,4	3083,6	4053,7	1577,5
3628,9	498	2855,1	3774	1493
4391,4	541	3058,3	4171,2	1741
4057,6	512,1	2871,7	3787,8	1709,3
4051,9	480,4	2849,7	3677,8	1698,8
3971,8	457,6	2833,2	3747,8	1756,5
3310,5	457,3	2341,3	2684,9	1280,5
3814,8	461,4	2713,5	3341,1	1576,5
3977,1	455,3	2959	3611,6	1682,1
3451,4	384	2489,2	3317,1	1536,7
2678,6	329,3	2378,3	3123,4	1478,6
3279,3	396,3	2404,6	3079,8	1487,6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	2 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 & 2 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=24268&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]'Herman Ole Andreas Wold' @ 193.190.124.10:1001[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24268&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24268&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	2 seconds
R Server	'Herman Ole Andreas Wold' @ 193.190.124.10:1001

Summary of Dendrogram
Label	Height
1	117.182037872705
2	127.149450902843
3	225.20933634579
4	309.271660518709
5	323.853840489811
6	361.851336877453
7	641.331303853327
8	753.748287071893
9	805.342455108384
10	1039.15006475220
11	1059.32909543882
12	4421.15602362528

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 117.182037872705 \tabularnewline
2 & 127.149450902843 \tabularnewline
3 & 225.20933634579 \tabularnewline
4 & 309.271660518709 \tabularnewline
5 & 323.853840489811 \tabularnewline
6 & 361.851336877453 \tabularnewline
7 & 641.331303853327 \tabularnewline
8 & 753.748287071893 \tabularnewline
9 & 805.342455108384 \tabularnewline
10 & 1039.15006475220 \tabularnewline
11 & 1059.32909543882 \tabularnewline
12 & 4421.15602362528 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24268&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]117.182037872705[/C][/ROW]
[ROW][C]2[/C][C]127.149450902843[/C][/ROW]
[ROW][C]3[/C][C]225.20933634579[/C][/ROW]
[ROW][C]4[/C][C]309.271660518709[/C][/ROW]
[ROW][C]5[/C][C]323.853840489811[/C][/ROW]
[ROW][C]6[/C][C]361.851336877453[/C][/ROW]
[ROW][C]7[/C][C]641.331303853327[/C][/ROW]
[ROW][C]8[/C][C]753.748287071893[/C][/ROW]
[ROW][C]9[/C][C]805.342455108384[/C][/ROW]
[ROW][C]10[/C][C]1039.15006475220[/C][/ROW]
[ROW][C]11[/C][C]1059.32909543882[/C][/ROW]
[ROW][C]12[/C][C]4421.15602362528[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24268&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24268&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	117.182037872705
2	127.149450902843
3	225.20933634579
4	309.271660518709
5	323.853840489811
6	361.851336877453
7	641.331303853327
8	753.748287071893
9	805.342455108384
10	1039.15006475220
11	1059.32909543882
12	4421.15602362528

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

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code