Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data X:
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
Names of X columns:
COL.1a COL.1b COL.1c COL.2a COL.2b COL.2c COL.3a COL.3b COL.4a ENG.1a ENG.1b ENG.2a ENG.2b ENG.2c ENG.3a ENG.3b ENG.3c DEC.1a DEC.1b DEC.1c DEC.2a DEC.2b DEC.2c
Method
ward
ward
single
complete
average
mcquitty
median
centroid
# of (top) clusters to display
ALL
ALL
2
3
4
5
6
7
8
9
10
15
20
Horizontal
FALSE
FALSE
TRUE
Triangle
FALSE
FALSE
TRUE
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
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') }
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation