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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationThu, 13 Nov 2008 16:32:40 -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/14/t1226619202nb923bcufcqgnah.htm/, Retrieved Sun, 19 May 2024 12:16:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=24886, Retrieved Sun, 19 May 2024 12:16:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact186

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
F       [Hierarchical Clustering] [] [2008-11-13 23:32:40] [2967ce9437c7d75d9bc3ac583860c521] [Current]
Feedback Forum
2008-11-20 15:00:32 [Natalie De Wilde] [reply] 
Ook in Q2 geef je geen interpreatie van de output, wat stelt het dendogram voor?
Je zegt alleen: 'Deze illustratiemethode toont aan welke maanden bij elkaar horen (Te vergelijken met een starplot).' Dit is niet genoeg.

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
4,56	4,51	4,77	5,25
4,41	4,38	4,75	5,25
4,33	4,29	4,91	5,18
4,2	4,08	4,68	5
4,25	4,2	4,71	5
4,25	4,22	4,61	5
4,19	4,15	4,36	5
4,17	4,12	4,3	5
4,21	4,18	4,54	5
4,21	4,19	4,71	5
4,17	4,15	4,57	5
4,16	4,13	4,63	5
4,19	4,17	4,57	5
4,08	4,07	4,33	5
4,06	4,05	4,14	5
3,98	3,97	4,08	4,9
3,82	3,82	3,98	4,75
3,82	3,82	3,89	4,75
3,72	3,72	3,82	4,65
3,56	3,55	3,74	4,5
3,57	3,56	3,67	4,5
3,49	3,47	3,61	4,39
3,32	3,31	3,51	4,25
3,23	3,22	3,36	4,17

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time2 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24886&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]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24886&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24886&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 time2 seconds
R Server'George Udny Yule' @ 72.249.76.132






Summary of Dendrogram
LabelHeight
10.0282842712474619
20.0412310562561766
30.0543893047949741
40.0700000000000007
50.0714142842854288
60.0812403840463594
70.0899999999999999
80.124995511384354
90.141014623812985
100.162480768092718
110.188243856704077
120.199499373432600
130.212367605815953
140.225881952550641
150.251741292915817
160.284832957803315
170.311376869772686
180.508173457754505
190.981490937641855
201.40703227279908
211.73903425375527
223.91155904789105
238.41028015213632

\begin{tabular}{lllllllll}
\hline
Summary of Dendrogram \tabularnewline
Label & Height \tabularnewline
1 & 0.0282842712474619 \tabularnewline
2 & 0.0412310562561766 \tabularnewline
3 & 0.0543893047949741 \tabularnewline
4 & 0.0700000000000007 \tabularnewline
5 & 0.0714142842854288 \tabularnewline
6 & 0.0812403840463594 \tabularnewline
7 & 0.0899999999999999 \tabularnewline
8 & 0.124995511384354 \tabularnewline
9 & 0.141014623812985 \tabularnewline
10 & 0.162480768092718 \tabularnewline
11 & 0.188243856704077 \tabularnewline
12 & 0.199499373432600 \tabularnewline
13 & 0.212367605815953 \tabularnewline
14 & 0.225881952550641 \tabularnewline
15 & 0.251741292915817 \tabularnewline
16 & 0.284832957803315 \tabularnewline
17 & 0.311376869772686 \tabularnewline
18 & 0.508173457754505 \tabularnewline
19 & 0.981490937641855 \tabularnewline
20 & 1.40703227279908 \tabularnewline
21 & 1.73903425375527 \tabularnewline
22 & 3.91155904789105 \tabularnewline
23 & 8.41028015213632 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=24886&T=1

[TABLE]
[ROW][C]Summary of Dendrogram[/C][/ROW]
[ROW][C]Label[/C][C]Height[/C][/ROW]
[ROW][C]1[/C][C]0.0282842712474619[/C][/ROW]
[ROW][C]2[/C][C]0.0412310562561766[/C][/ROW]
[ROW][C]3[/C][C]0.0543893047949741[/C][/ROW]
[ROW][C]4[/C][C]0.0700000000000007[/C][/ROW]
[ROW][C]5[/C][C]0.0714142842854288[/C][/ROW]
[ROW][C]6[/C][C]0.0812403840463594[/C][/ROW]
[ROW][C]7[/C][C]0.0899999999999999[/C][/ROW]
[ROW][C]8[/C][C]0.124995511384354[/C][/ROW]
[ROW][C]9[/C][C]0.141014623812985[/C][/ROW]
[ROW][C]10[/C][C]0.162480768092718[/C][/ROW]
[ROW][C]11[/C][C]0.188243856704077[/C][/ROW]
[ROW][C]12[/C][C]0.199499373432600[/C][/ROW]
[ROW][C]13[/C][C]0.212367605815953[/C][/ROW]
[ROW][C]14[/C][C]0.225881952550641[/C][/ROW]
[ROW][C]15[/C][C]0.251741292915817[/C][/ROW]
[ROW][C]16[/C][C]0.284832957803315[/C][/ROW]
[ROW][C]17[/C][C]0.311376869772686[/C][/ROW]
[ROW][C]18[/C][C]0.508173457754505[/C][/ROW]
[ROW][C]19[/C][C]0.981490937641855[/C][/ROW]
[ROW][C]20[/C][C]1.40703227279908[/C][/ROW]
[ROW][C]21[/C][C]1.73903425375527[/C][/ROW]
[ROW][C]22[/C][C]3.91155904789105[/C][/ROW]
[ROW][C]23[/C][C]8.41028015213632[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=24886&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=24886&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
10.0282842712474619
20.0412310562561766
30.0543893047949741
40.0700000000000007
50.0714142842854288
60.0812403840463594
70.0899999999999999
80.124995511384354
90.141014623812985
100.162480768092718
110.188243856704077
120.199499373432600
130.212367605815953
140.225881952550641
150.251741292915817
160.284832957803315
170.311376869772686
180.508173457754505
190.981490937641855
201.40703227279908
211.73903425375527
223.91155904789105
238.41028015213632


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')
}