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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_agglomerativehierarchicalclustering.wasp
Title produced by softwareAgglomerative Nesting (Hierarchical Clustering)
Date of computationThu, 07 Apr 2022 10:45:42 +0200
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2022/Apr/07/t16493214411bfksail8k3d9f4.htm/, Retrieved Wed, 29 Apr 2026 03:18:59 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=319670, Retrieved Wed, 29 Apr 2026 03:18:59 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsCluster, value, budget, prestige
Estimated Impact312

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Agglomerative Nesting (Hierarchical Clustering)] [FMR] [2022-04-07 08:45:42] [d41d8cd98f00b204e9800998ecf8427e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
Brand of purchase	Price range 	how do you perceive selected brand? 	Why would you purchase a smartphone?	What matters you the most?	What is a smartphone for you?	what is your profession?	Life span(usage span) expecting from your purchase	Last three brands used	
Samsung	15000- 25000	Value oriented	day to day use, for work, Entertainment/ social media/ Gaming	Camera, Battery, Performance, Advance security	necessity	Student	2-4 yrs	Apple, Samsung	
Samsung	25000-50000	Value oriented	day to day use	Performance	necessity	Student	0-2 yrs	Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
Apple	25000-50000	Value oriented	day to day use	Camera, Battery, Performance, Form factor/ design, Advance security	necessity	Student	above 4 yrs	Apple	
Xiomi/VIVO/OPPO/RealMe/POCO	below 15000	Budget	old phone damaged/outdated, necessity	Performance	necessity	Student	above 4 yrs	Samsung, Xiomi/VIVO/OPPO/RealMe/POCO	
Samsung	15000- 25000	Value oriented	old phone damaged/outdated, necessity	Camera, Battery	necessity	Student	2-4 yrs	Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
Apple	above 50000	Value oriented	old phone damaged/outdated, necessity, Entertainment/ social media/ Gaming	Camera, Battery, Performance, Form factor/ design, Advance security	necessity	Student	above 4 yrs	Apple	
One Plus	25000-50000	Value oriented	old phone damaged/outdated, necessity	Performance	necessity	Student	2-4 yrs	Xiomi/VIVO/OPPO/RealMe/POCO	
Xiomi/VIVO/OPPO/RealMe/POCO	15000- 25000	Budget	day to day use	Battery, Performance, Form factor/ design, Advance security	necessity	Student	2-4 yrs	Apple, Xiomi/VIVO/OPPO/RealMe/POCO	
Apple	above 50000	Prestigious	old phone damaged/outdated, necessity	Camera, Battery, Performance, Form factor/ design, Advance security	necessity	Student	2-4 yrs	Apple, Samsung, Motorola/Lenevo/Nokia	
Xiomi/VIVO/OPPO/RealMe/POCO	below 15000	Budget	day to day use, for work, old phone damaged/outdated, necessity	Battery, Performance, Advance security	necessity	Student	2-4 yrs	Apple, Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
Samsung	15000- 25000	Value oriented	old phone damaged/outdated, necessity	Battery, Performance, Advance security	necessity	Student	2-4 yrs	Samsung, Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
Samsung	15000- 25000	Value oriented	day to day use	Camera, Battery, Performance	necessity	Student	0-2 yrs	Samsung, Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
Samsung	below 15000	Value oriented	day to day use	Performance	necessity	Student	above 4 yrs	Samsung	
Samsung	15000- 25000	Value oriented	day to day use	Performance	necessity	working	2-4 yrs	Apple, Samsung	
Apple	25000-50000	Value oriented	day to day use	Camera	necessity	Student	2-4 yrs	Apple, One Plus	
Apple	25000-50000	Prestigious	for work, old phone damaged/outdated, necessity	Battery, Performance, Form factor/ design	necessity	Student	2-4 yrs	Samsung, Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
One Plus	15000- 25000	Value oriented	day to day use, for work, old phone damaged/outdated, necessity, Entertainment/ social media/ Gaming	Camera, Battery, Performance, Form factor/ design	necessity	Student	2-4 yrs	Samsung, One Plus, Xiomi/VIVO/OPPO/RealMe/POCO	
Xiomi/VIVO/OPPO/RealMe/POCO	15000- 25000	Value oriented	day to day use	Performance	necessity	Student	2-4 yrs	Xiomi/VIVO/OPPO/RealMe/POCO, Motorola/Lenevo/Nokia	
One Plus	25000-50000	Value oriented	day to day use, for work, old phone damaged/outdated, necessity, Entertainment/ social media/ Gaming	Battery, Performance	necessity	Student	2-4 yrs	One Plus, Motorola/Lenevo/Nokia	
Apple	above 50000	Value oriented	day to day use	Performance	necessity	Student	2-4 yrs	Apple, Samsung

Tables (Output of Computation)





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=319670&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=319670&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=319670&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 Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time0 seconds
R ServerBig Analytics Cloud Computing Center


Figures (Output of Computation)

Input Parameters & R Code

Parameters (Session):
par1 = euclidean ; par2 = ward ; par3 = 3 ; par4 = 0.5 ; par5 = 0.5 ; par6 = 0.5 ; par7 = 0 ;
Parameters (R input):
par1 = euclidean ; par2 = ward ; par3 = 3 ; par4 = 0.5 ; par5 = 0.5 ; par6 = 0.5 ; par7 = 0 ;
R code (references can be found in the software module):
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')