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Author's title

Author*Unverified author*
R Software Modulerwasp_hierarchicalclustering.wasp
Title produced by softwareHierarchical Clustering
Date of computationMon, 05 Nov 2007 02:45:40 -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/2007/Nov/05/kgenawqkawx6hxg1194256620.htm/, Retrieved Mon, 29 Apr 2024 05:32:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=490, Retrieved Mon, 29 Apr 2024 05:32:31 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact211
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Hierarchical Clustering] [hierarchical clus...] [2007-11-05 09:45:40] [079615521100262cd8b5675a0217a3b1] [Current]
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Dataseries X:
95.90	2.90	96.92	95.86
96.06	2.63	96.06	96.02
96.31	2.67	96.59	96.34
96.34	1.81	96.67	96.84
96.49	1.33	97.27	96.73
96.22	0.88	96.38	96.34
96.53	1.28	96.47	96.60
96.50	1.26	96.05	96.64
96.77	1.26	96.76	97.20
96.66	1.29	96.51	97.50
96.58	1.10	96.55	96.99
96.63	1.37	95.97	97.08
97.06	1.21	97.00	97.55
97.73	1.74	97.46	98.42
98.01	1.76	97.90	98.78
97.76	1.48	98.42	97.49
97.49	1.04	98.54	96.99
97.77	1.62	99.00	97.16
97.96	1.49	98.94	97.29
98.23	1.79	99.02	97.80
98.51	1.80	100.07	98.12
98.19	1.58	98.72	98.03
98.37	1.86	98.73	98.11
98.31	1.74	98.04	98.07
98.60	1.59	99.08	98.21
98.97	1.26	99.22	98.48
99.11	1.13	99.57	98.83
99.64	1.92	100.44	99.20
100.03	2.61	100.84	99.88
99.98	2.26	100.75	99.71
100.32	2.41	100.49	100.03
100.44	2.26	99.98	100.60
100.51	2.03	99.96	100.85
101.00	2.86	99.76	101.96
100.88	2.55	100.11	101.40
100.55	2.27	99.79	100.81
100.83	2.26	100.29	100.66
101.51	2.57	101.12	101.55
102.16	3.07	102.65	102.23
102.39	2.76	102.71	102.90
102.54	2.51	103.39	102.68
102.85	2.87	102.80	103.41
103.47	3.14	102.07	104.62
103.57	3.11	102.15	104.93
103.69	3.16	101.21	105.88
103.50	2.47	101.27	105.18
103.47	2.57	101.86	104.54
103.45	2.89	101.65	104.58
103.48	2.63	101.94	104.34
103.93	2.38	102.62	104.66
103.89	1.69	102.71	104.73
104.40	1.96	103.39	105.44
104.79	2.19	104.51	105.72
104.77	1.87	104.09	105.68
105.13	1.60	104.29	105.90
105.26	1.63	104.57	105.97
104.96	1.22	105.39	105.21
104.75	1.21	105.15	104.75
105.01	1.49	106.13	104.89
105.15	1.64	105.46	105.26
105.20	1.66	106.47	104.84
105.77	1.77	106.62	105.47
105.78	1.82	106.52	105.40
106.26	1.78	108.04	105.73
106.13	1.28	107.15	105.72
106.12	1.29	107.32	105.63
106.57	1.37	107.76	105.97
106.44	1.12	107.26	105.92
106.54	1.51	107.89	106.32




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=490&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=490&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=490&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 = single ; par2 = ALL ; par3 = FALSE ; par4 = FALSE ;
Parameters (R input):
par1 = single ; 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')
}