| horse {GSE} | R Documentation |
Horse-colic data
Description
This is a modified version of the original data set (taken from UCI repository, see reference), where only quantitative variables are considered. This data set is about horse diseases where the task is to determine if the lesion of the horse was surgical or not. It contains rows with completely missing values except for ID and must be removed by the users. They are kept mainly for pedagogical purposes.
Usage
data(horse)Format
A data frame with 368 observations on the following 7 variables are quantitative and 1 categorical. The first variable is a numeric id.
Hospital_Number | numeric id, i.e. the case number assigned to the horse (may not be unique if the horse is treated > 1 time) |
Rectal_temperature | rectal temperature in degree celcius |
Pulse | the heart rate in beats per minute; normal rate is 30-40 for adults |
Respiratory_rate | respiratory rate; normal rate is 8 to 10 |
Nasogastric_reflux_PH | scale is from 0 to 14 with 7 being neutral; normal values are in the 3 to 4 range |
Packed_cell_volume | the number of red cells by volume in the blood; normal range is 30 to 50 |
Total_protein | normal values lie in the 6-7.5 (gms/dL) range |
Abdomcentesis_total_protein | Values are in gms/dL |
surgical_leison | was the problem (lesion) surgical?; 1 = yes, 2 = no |
Source
The original data have been taken from the Journal of Statistics Education Databases at
References
Frank, A. & Asuncion, A. (2010). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
Examples
## Not run:
data(horse)
horse.cts <- horse[,-c(1,9)] ## remove the id and categorical variable
res <- GSE(horse.cts)
plot(res, which="dd", xlog10=TRUE, ylog10=TRUE)
getOutliers(res)
## End(Not run)