ckd {teigen} | R Documentation |
This is a cleaned up version of the Chronic Kidney Disease data set available from the UCI learning repository:
http://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease
Nominal variables have been removed and rows with missing values recorded on the remaining variables have also been removed.
data("ckd")
This data frame contains 203 rows (observations) and 13 columns (variables): 1.) ckdclass: There are 2 classes, ckd or notckd 2.) age: in years 3.) blood.pressure: in mm/Hg 4.) blood.glucose.random: in mgs/dl 5.) blood.urea: in mgs/dl 6.) serum.creatinine: in mgs/dl 7.) sodium: in mEq/L 8.) potassium: in mEq/L 9.) hemoglobin: in gms 10.) packed.cell.volume 11.) white.blood.cell.count: in cells/cmm 12.) red.blood.cell.count: in cells/cmm
See http://archive.ics.uci.edu/ml/datasets/Chronic_Kidney_Disease for original source.
Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
data(ckd)
hclustres <- cutree(hclust(dist(ckd[,-1])),3)
table(ckd[,1], hclustres)