This lymphography domain was obtained from the University Medical Centre,
Institute of Oncology, Ljubljana, Yugoslavia. Thanks go to M. Zwitter and
M. Soklic for providing the data. The data are available at the UCI
KDD data repository (Hettich S and Bay SD, 1999).
The data set consists of 148 instances presenting 18 different
mixed attributes (1 cuantitative, 9 binaries and 9 nominals), and a class variable indicating the diagnostic.
There are not missing values.
Usage
data(lympha)
Format
Data frame with 148 instances and 19 features.
Details
Attribute information:
— NOTE: All attribute values in the database have been entered as
numeric values corresponding to their index in the list
of attribute values for that attribute domain as given
below.
1. class: normal find, metastases, malign lymph, fibrosis
Hettich S and Bay SD (1999). The UCI KDD Archive. Department of
Information and Computer Science. University of California at Irvine,
Irvine, USA.
Examples
data(lympha)
aux <- table(lympha[,1])
barplot(aux, names.arg=c("normal", "metastases", "malign lymph", "fibrosis"))
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(ICGE)
Loading required package: MASS
Loading required package: cluster
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/ICGE/lympha.Rd_%03d_medium.png", width=480, height=480)
> ### Name: lympha
> ### Title: Limphatic Database
> ### Aliases: lympha
> ### Keywords: datasets
>
> ### ** Examples
>
> data(lympha)
> aux <- table(lympha[,1])
> barplot(aux, names.arg=c("normal", "metastases", "malign lymph", "fibrosis"))
>
>
>
>
>
> dev.off()
null device
1
>