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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_agglomerativehierarchicalclustering.wasp
Title produced by softwareAgglomerative Nesting (Hierarchical Clustering)
Date of computationMon, 29 Nov 2021 17:58:53 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2021/Nov/29/t16382051467fqm6w2tvzz7zaw.htm/, Retrieved Sat, 11 May 2024 15:52:17 +0200
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Sat, 11 May 2024 15:52:17 +0200
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Original text written by user:555
IsPrivate?This computation is private
User-defined keywords555
Estimated Impact0
Dataseries X:
70.8	66.67
69.6	66.33
69.87	64.33
67.47	64
67.6	63.33
67.13	61.33
66.27	64.67
66.73	63
68.07	60.67
67.8	63.67
64.8	60.67
64.6	61.67
64.2	62.33
64.2	60.33
63.67	59.67
61	60.33
59.67	59.33
59.67	58.67
59.8	58.67
60.73	59.33
59.4	57.33
58.07	59.33
57.47	56
70.73	53.67
72.87	58.67
66	49.33
66.07	71.33
66	70.33
66.27	69
64	66
63.67	66
63.73	63.33
63.33	65.33
63.53	64.33
63.53	64
62.87	61.67
59.53	63.67
62.8	64.67
60.8	61.67
59.8	62
56.67	61.33
57.67	63.67
58.4	61.33
55.47	62.33
56.2	59.67
71.53	59.33
68.67	61.67
65.67	58.67
66.73	58
67.33	56.67
66.73	59.67
66.87	58
65.8	57
64.73	57.67
65.47	58.67
63.6	55.33
64.07	56
64.67	55.67
63.73	53.33
62.53	53.67
61.93	51
62.67	47
62.8	4.33
61.33	70
62.6	68.67
59.13	67.67
61.27	66
59.47	65.67
57.87	65.67
59.73	63.67
61.4	63.67
58.8	64
58.33	62
57.47	62
57.13	61.67
55	61.67
51.53	63.33
72.73	61
73	62.33
70.8	60.33
70.07	60.33
71.67	60.67
71.07	57.67
70.67	58.33
70.73	58
70.73	57.33
68.6	56.67
69.6	58
66.47	55.33
67.07	55.67
68.67	54.67
66.93	56.33
65.93	55
68.87	55
66.53	54.67
65.8	54.33
66.6	49
66	48.33
65	49.67
66.8	43.67
65.6	6.33
66	3
65.67	66.67
64.67	67.33
65.07	65.33
64.67	66
65.07	65.67
65.2	66.67
64.87	65.67
63.47	65
62.6	64.67
64.07	66.67
63.73	63.67
64.67	63.33
61.6	63.67
61.6	63.33
60.47	63.67
61.27	63
63	61.67
61.47	61.33
60.87	60.67
61.67	60
62.87	61.67
62.4	61.33
59.73	58.67
60.13	60.33
58.8	59.67
59.6	59.33
58.93	59.67
60.13	61
58.2	61
58.27	60
58.27	60
55.07	58.67
53.87	58.33
52.33	58
47.2	56.33
37.93	54.67
72.73	55.33
70.07	54
70.67	52.67
72.07	44
68.8	65.67
68.8	65
67.47	66.33
66.73	64
66.53	62.33
66	61.33
67.6	63
66	63.67
66	62
66.53	61.33
65.8	64.67
64.27	62.67
64.67	64
64.6	61
64.13	60.67
65.47	59.67
62.93	60.33
63.53	56.67
62.13	56.67
63.87	54.33
64.67	51
63.33	51
63.13	47
62.8	68
62.4	65
62.4	64
62.6	64
61.47	64
62.2	62
63	61
61.8	60
59.73	60
60.33	62
60.13	60
59.53	59
59	61
55.93	60
41.87	60
36.33	58
71.67	58
71.47	60
70.47	58
69.53	59
70.73	56
69.93	54
68.73	51
67.53	47




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig 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 time0 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=&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]0 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=&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 Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center



Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = 1 ; par3 = 1 ; par4 = 0.5 ; par5 = 0.5 ; par6 = 0.5 ; par7 = 0 ;
R code (references can be found in the software module):
par7 <- '0'
par6 <- '0.5'
par5 <- '0.5'
par4 <- '0.5'
par3 <- '1'
par2 <- '1'
par1 <- '1'
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
par6 <- as.numeric(par6)
par7 <- as.numeric(par7)
library(cluster)
if (par2 == 'flexible')
{
if (par3 == 1) pm <- c(par4)
if (par3 == 3) pm <- c(par4,par5,par6)
if (par3 == 4) pm <- c(par4,par5,par6,par7)
ag <- agnes(t(y),metric=par1,method=par2,par.method=pm)
} else {
ag <- agnes(t(y),metric=par1,method=par2)
}
mysub <- paste('Method: ',par2)
summary(ag)
bitmap(file='test1.png')
plot(ag,which.plots=2,main=main,sub=mysub,xlab=xlab,ylab=ylab)
dev.off()
bitmap(file='test2.png')
plot(ag,which.plots=1,main='Banner',sub=mysub,xlab=ylab,ylab=xlab)
dev.off()
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Agglomerative Nesting (Hierarchical Clustering)',2,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Agglomerative Coefficient',header=TRUE)
a<-table.element(a,ag$ac)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable.tab')