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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_hierarchicalclustering.wasp

Title produced by software

Hierarchical Clustering

Date of computation

Mon, 13 Jan 2020 18:37:47 +0100

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2020/Jan/13/t1578937717t8tbckqbt4snpso.htm/, Retrieved Wed, 01 May 2024 23:56:35 +0200

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=, Retrieved Wed, 01 May 2024 23:56:35 +0200

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Original text written by user:

test of the clustering sw

IsPrivate?

No (this computation is public)

User-defined keywords

service models, integrated care, long term care

Estimated Impact

Dataseries X:

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Histogram

Boxplots

nurse care manager for short term follow up after inpatient stay	4	4	4	4	4	3	3	4	4	0	0	4	3	3	3	4	0	1	1	0	4	2	2
care manager in health centers for elderly citizens	3	4	3	4	3	1	3	2	3	3	3	3	2	2	3	2	0	1	4	4	4	3	2
managing cardiovascular disease in HIV positive patients on treatment	4	4	4	4	4	4	3	3	2	2	2	3	3	3	2	2	0	2	2	2	2	3	2
safety of geriatric vulnerable subjects at home	4	3	3	3	3	3	3	2	3	1	3	2	3	3	2	2	4	2	3	2	3	0	3
supporting self-care by empowering patients in Hungary	3	2	3	3	2	4	3	4	1	4	2	4	3	3	2	2	2	1	2	3	3	1	3
diabetic retinopathy screening in Brazil	4	2	3	3	4	4	2	2	0	1	2	1	3	1	1	0	2	2	2	2	3	0	3
remote obstetric call-center for pregnancy supervision in Ukraine	4	3	3	3	4	3	4	4	4	3	2	3	2	3	3	2	3	4	3	4	3	3	4
telehealth nurse support in orthopaedics post-op care	2	3	3	3	4	4	4	1	1	0	1	2	2	3	2	1	0	0	2	1	3	1	1
monitoring mental health care of depression sufferers 	3	4	2	4	4	4	3	1	2	4	4	3	3	2	1	3	0	2	3	0	3	4	1
prediabetes program for adults in Yemen	4	3	3	4	2	1	3	1	2	2	2	4	2	2	1	0	0	2	2	1	2	1	2
cancer care manager for young adults in Southern Japan	4	0	2	4	0	3	4	4	2	4	0	2	4	4	1	4	1	2	1	2	0	2	0
multidisciplinary teaming up for diabetic patients in Qatar	3	4	3	2	3	4	1	3	4	4	3	3	2	2	1	1	0	4	4	4	3	4	2
hospital specialists consultation for rural health centers in Zimbabwe	3	2	4	4	4	4	4	1	3	1	3	3	3	2	2	3	0	1	4	4	3	0	0
remote consultations to rural areas in India 	3	4	3	4	4	4	4	4	3	4	4	4	4	4	3	3	3	3	3	3	4	3	4
safe motherhood initiative in rural areas of Eastern Nigeria 	3	2	4	1	2	3	4	3	2	0	2	4	4	4	2	0	0	3	3	3	4	0	3
integration of private general practice to a larger private medical facility 	4	3	4	4	2	4	4	0	0	0	0	3	2	0	0	0	1	1	3	4	4	0	0
social care and support for elderly patients with severe arthritis in Nigeria	0	2	4	3	2	2	0	1	0	0	1	2	4	4	4	0	1	0	0	3	3	1	1
long term care remote services for small islands communities	3	4	4	3	4	3	4	4	4	3	3	4	3	3	3	2	2	4	4	4	2	4	4
integrated approach to cystic fibrosis disease in children	3	3	4	4	4	4	3	4	4	2	2	3	4	2	3	0	3	3	3	3	3	3	2
monitoring patients at home in remote areas of Botswana 	3	3	3	4	3	3	4	4	0	0	3	3	4	3	3	2	3	1	3	3	0	0	1
24/7 Care Liaison for Cardiometabolic Patients	2	2	3	3	2	4	3	4	4	3	3	2	2	3	2	2	2	2	3	3	2	2	2
promoting integrated care for patients with diabetes at home	2	2	3	2	2	4	4	2	2	1	2	2	3	3	3	2	0	3	3	2	2	1	1
care for seafarers and passenger onboard of cruise ships	4	2	3	2	4	4	4	4	4	2	2	2	4	3	0	0	0	2	3	2	2	2	0
HIV patients in sub-saharian Africa	3	4	3	3	2	4	3	0	3	4	2	3	3	3	2	0	0	0	3	0	0	3	4
chronic care of adult epileptic patients in Uganda	3	3	4	4	3	3	3	4	3	3	3	4	3	3	3	4	3	0	2	2	2	3	2
integration of mental health and primary care for psychiatric patients	3	2	1	2	3	3	2	0	1	3	4	2	2	2	1	2	2	3	3	3	2	0	1
remote consultations for older people in rural areas in India 	3	3	4	3	4	3	3	4	3	4	3	3	4	4	3	4	3	3	4	3	3	4	3
telemedicine units on five specialities in underserved areas in Egypt	3	3	3	3	3	3	3	3	3	1	3	3	3	1	2	1	2	3	2	2	4	2	0
support patients with psychoactive substance use disorders	1	0	2	1	1	3	2	3	0	1	1	2	3	1	3	0	3	0	1	3	1	0	3
mobile clinic to reach elderly people in their neighborhood	2	2	4	3	2	4	4	4	4	2	3	2	4	4	4	2	1	2	3	2	3	1	2

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	Big 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 time1 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]

1 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 Output	view raw output of R engine
Computing time	1 seconds
R Server	Big Analytics Cloud Computing Center

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):

par4 <- 'FALSE'
par3 <- 'FALSE'
par2 <- 'ALL'
par1 <- 'ward'
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')
}

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Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code