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Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationSun, 18 Nov 2007 10:44:23 -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/2007/Nov/18/t1195407442lf6siklbo1yzk5x.htm/, Retrieved Sun, 05 May 2024 04:06:42 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=5610, Retrieved Sun, 05 May 2024 04:06:42 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsWS4, groep 1
Estimated Impact182
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [WS4, groep 1] [2007-11-18 17:44:23] [443d2fe869025e720a9fee03b1da487c] [Current]
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Dataseries X:
97.3	93.5	104.8	124.9
101	94.7	105.6	132
113.2	112.9	118.3	151.4
101	99.2	89.9	108.9
105.7	105.6	90.2	121.3
113.9	113	107	123.4
86.4	83.1	64.5	90.3
96.5	81.1	92.6	79.3
103.3	96.9	95.8	117.2
114.9	104.3	94.3	116.9
105.8	97.7	91.2	120.8
94.2	102.6	86.3	96.1
98.4	89.9	77.6	100.8
99.4	96	82.5	105.3
108.8	112.7	97.7	116.1
112.6	107.1	83.3	112.8
104.4	106.2	84.2	114.5
112.2	121	92.8	117.2
81.1	101.2	77.4	77.1
97.1	83.2	72.5	80.1
112.6	105.1	88.8	120.3
113.8	113.3	93.4	133.4
107.8	99.1	92.6	109.4
103.2	100.3	90.7	93.2
103.3	93.5	81.6	91.2
101.2	98.8	84.1	99.2
107.7	106.2	88.1	108.2
110.4	98.3	85.3	101.5
101.9	102.1	82.9	106.9
115.9	117.1	84.8	104.4
89.9	101.5	71.2	77.9
88.6	80.5	68.9	60
117.2	105.9	94.3	99.5
123.9	109.5	97.6	95
100	97.2	85.6	105.6
103.6	114.5	91.9	102.5
94.1	93.5	75.8	93.3
98.7	100.9	79.8	97.3
119.5	121.1	99	127
112.7	116.5	88.5	111.7
104.4	109.3	86.7	96.4
124.7	118.1	97.9	133
89.1	108.3	94.3	72.2
97	105.4	72.9	95.8
121.6	116.2	91.8	124.1
118.8	111.2	93.2	127.6
114	105.8	86.5	110.7
111.5	122.7	98.9	104.6
97.2	99.5	77.2	112.7
102.5	107.9	79.4	115.3
113.4	124.6	90.4	139.4
109.8	115	81.4	119
104.9	110.3	85.8	97.4
126.1	132.7	103.6	154
80	99.7	73.6	81.5
96.8	96.5	75.7	88.8
117.2	118.7	99.2	127.7
112.3	112.9	88.7	105.1
117.3	130.5	94.6	114.9
111.1	137.9	98.7	106.4
102.2	115	84.2	104.5
104.3	116.8	87.7	121.6
122.9	140.9	103.3	141.4
107.6	120.7	88.2	99
121.3	134.2	93.4	126.7
131.5	147.3	106.3	134.1
89	112.4	73.1	81.3
104.4	107.1	78.6	88.6
128.9	128.4	101.6	132.7
135.9	137.7	101.4	132.9
133.3	135	98.5	134.4
121.3	151	99	103.7
120.5	137.4	89.5	119.7
120.4	132.4	83.5	115
137.9	161.3	97.4	132.9
126.1	139.8	87.8	108.5
133.2	146	90.4	113.9
146.6	154.6	97.1	142.9
103.4	142.1	79.4	95.2
117.2	120.5	85	93




Summary of compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=5610&T=0

[TABLE]
[ROW][C]Summary of compuational 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]1 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=5610&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=5610&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 compuational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time1 seconds
R Server'Gwilym Jenkins' @ 72.249.127.135



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')
}