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*Unverified author*

R Software Module

rwasp_agglomerativehierarchicalclustering.wasp

Title produced by software

Agglomerative Nesting (Hierarchical Clustering)

Date of computation

Fri, 04 Apr 2014 10:09:34 -0400

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Apr/04/t13966206194wyrlslbxutnciu.htm/, Retrieved Fri, 17 May 2024 02:10:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=234401, Retrieved Fri, 17 May 2024 02:10:51 +0000

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No (this computation is public)

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Estimated Impact

179

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

-       [Agglomerative Nesting (Hierarchical Clustering)] [Analisis por aglo...] [2014-04-04 14:09:34] [d41d8cd98f00b204e9800998ecf8427e] [Current]

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'GTM'	232.2	49.0	21.4	67.6	77.3	49.9	7.9	12.9	3.7	77.3	59.2	16.8	1.420	0.1	0.4	0.8	0.9	0.9	0.7	0.8	0.8	0.8	95.4	4.6	47.3	48.1	41.0	4.2	36.9
'PRO'	47.0	14.6	15.2	58.4	44.4	38.1	3.2	22.9	4.4	44.4	34.3	9.5	86	0.0	0.5	0.7	0.8	0.4	0.6	0.8	0.7	0.7	96.7	3.4	51.9	44.8	43.4	6.4	37.1
'SAC'	153.2	29.7	15.8	21.2	36.9	10.1	1.6	13.9	3.8	36.9	29.7	6.6	590	0.4	0.5	0.8	0.9	0.8	0.6	0.8	0.9	0.8	97.0	3.0	48.4	48.7	61.4	10.7	50.7
'CHM'	76.4	11.4	7.4	14.4	35.8	9.4	0.8	5.4	1.3	35.8	26.4	9.2	325	0.8	0.6	0.7	0.8	0.5	0.4	0.7	0.8	0.6	97.4	2.6	55.7	41.7	68.3	18.6	49.7
'ESC'	301.1	35.6	26.3	98.2	73.9	70.7	8.1	28.5	4.0	73.9	59.6	12.1	156	0.1	0.5	0.7	0.8	0.5	0.5	0.8	0.7	0.7	94.7	5.3	38.6	56.1	47.9	3.8	44.2
'SRO'	80.6	19.7	20.3	82.3	67.8	56.8	4.6	24.6	8.7	67.8	55.7	11.9	109	0.0	0.5	0.7	0.8	0.4	0.5	0.7	0.6	0.6	96.2	3.8	55.4	40.8	58.4	11.3	47.1
'SOL'	11.6	5.6	0.9	8.6	18.3	3.7	0.0	7.7	1.2	18.3	13.5	4.9	369	1.0	0.5	0.6	0.7	0.5	0.4	0.7	0.7	0.6	97.1	2.9	45.4	51.7	81.2	24.0	57.2
'TOT'	21.4	4.4	0.6	7.8	15.9	0.8	0.4	9.1	3.2	15.9	10.6	4.4	439	1.0	0.5	0.6	0.7	0.5	0.4	0.5	0.6	0.5	94.2	5.8	58.7	35.4	76.2	24.7	51.4
'QUT'	100.5	30.7	9.5	26.9	34.8	17.5	1.8	10.3	2.7	34.8	25.9	8.1	372	0.5	0.5	0.7	0.8	0.6	0.5	0.8	0.7	0.7	95.6	4.4	59.4	36.2	66.5	15.4	51.1
'SUC'	105.3	26.9	9.9	30.9	36.7	17.2	2.3	17.2	2.7	36.7	29.0	7.3	202	0.2	0.5	0.7	0.7	0.4	0.4	0.7	0.8	0.6	96.6	3.4	31.4	65.2	73.1	24.1	49.0
'RET'	86.1	24.1	5.9	36.0	37.6	23.1	1.3	18.2	3.0	37.6	28.7	7.6	178	0.2	0.5	0.7	0.8	0.4	0.4	0.6	0.7	0.6	95.2	4.8	42.1	53.1	60.5	13.4	47.1
'SMA'	22.8	6.3	4.7	15.6	12.7	10.7	0.3	6.8	0.9	12.7	9.9	2.6	288	0.3	0.6	0.7	0.7	0.3	0.4	0.6	0.7	0.6	96.8	3.2	64.4	32.4	65.1	15.2	49.9
'HUE'	48.1	7.5	4.3	6.4	13.1	3.8	0.3	3.7	0.3	13.1	10.0	2.1	156	0.6	0.6	0.6	0.7	0.3	0.4	0.6	0.7	0.6	97.1	3.0	69.4	27.6	55.7	9.6	46.1
'QUI'	23.4	5.4	2.1	6.4	14.4	2.3	0.3	5.5	1.0	14.4	9.0	4.8	131	0.9	0.6	0.5	0.6	0.3	0.4	0.5	0.7	0.5	97.1	2.9	59.6	37.5	66.5	16.2	50.3
'BVP'	39.5	22.0	6.3	18.6	23.1	7.4	1.5	16.4	1.9	23.1	16.4	5.6	25	0.6	0.5	0.6	0.7	0.3	0.6	0.6	0.7	0.6	96.3	3.7	59.9	36.4	62.4	22.4	40.0
'AVP'	33.8	11.5	7.0	13.0	14.5	7.4	0.4	7.3	1.3	14.5	11.3	2.9	371	0.9	0.6	0.6	0.6	0.2	0.2	0.3	0.4	0.3	94.5	5.5	50.5	44.0	77.2	30.2	47.0
'PET'	51.4	7.0	11.3	59.4	25.3	41.5	3.7	17.3	2.7	25.3	21.5	3.7	17	0.3	0.6	0.7	0.8	0.3	0.4	0.5	0.4	0.4	97.9	2.1	53.1	44.8	62.7	15.5	47.2
'IZA'	103.7	12.7	20.7	79.9	49.2	59.2	6.8	17.3	3.4	49.2	39.0	9.5	55	0.3	0.5	0.7	0.8	0.4	0.6	0.7	0.6	0.6	96.9	3.1	49.9	47.0	58.4	24.6	33.8
'ZAC'	64.1	8.1	42.5	92.6	67.8	66.4	7.7	23.5	5.9	67.8	50.6	14.9	82	0.0	0.5	0.7	0.8	0.4	0.6	0.7	0.8	0.7	97.6	2.4	41.8	55.8	61.5	25.0	36.5
'CHQ'	75.0	11.4	29.9	96.2	58.2	58.7	6.3	38.3	7.3	58.2	45.4	11.1	153	0.1	0.5	0.6	0.7	0.3	0.5	0.6	0.6	0.6	97.9	2.1	47.7	50.3	66.0	22.0	34.0
'JAL'	12.4	11.1	12.4	54.4	35.0	33.1	4.8	18.1	5.1	35.0	29.0	5.1	154	0.0	0.6	0.7	0.8	0.3	0.5	0.5	0.6	0.5	97.9	2.1	42.6	55.3	73.4	18.9	54.6
'JUT'	34.8	11.7	6.2	61.3	46.3	42.8	7.4	14.0	2.3	46.3	36.4	9.7	131	0.0	0.5	0.7	0.8	0.3	0.5	0.7	0.6	0.6	97.5	2.5	52.6	45.0	48.9	14.3	34.6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	4 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

\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 & 4 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234401&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]4 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234401&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234401&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	4 seconds
R Server	'Gertrude Mary Cox' @ cox.wessa.net

Agglomerative Nesting (Hierarchical Clustering)
Agglomerative Coefficient	0.757593200743809

\begin{tabular}{lllllllll}
\hline
Agglomerative Nesting (Hierarchical Clustering) \tabularnewline
Agglomerative Coefficient & 0.757593200743809 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=234401&T=1

[TABLE]
[ROW][C]Agglomerative Nesting (Hierarchical Clustering)[/C][/ROW]
[ROW][C]Agglomerative Coefficient[/C][C]0.757593200743809[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=234401&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=234401&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Agglomerative Nesting (Hierarchical Clustering)
Agglomerative Coefficient	0.757593200743809

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = euclidean ; par2 = average ; par3 = 1 ; par4 = 0.5 ; par5 = 0.5 ; par6 = 0.5 ; par7 = 0 ;

Parameters (R input):

par1 = euclidean ; par2 = average ; 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 <- 'average'
par1 <- 'manhattan'
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')

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