plankton {HRW} | R Documentation |
Flow cytometric measurements on plankton organisms
Description
The plankton
data frame has data on six flow cytometric measurements for 400 plankton organisms categorized into 5 different species. The data are synthetic and were generated to test various machine learning algorithms for plankton species classification. More details are given in the 2001 ‘Cytometry’ article by Boddy, Wilkins and Morris (full reference below).
Usage
data(plankton)
Format
This data frame contains the following columns:
timeFlight
time of flight.
forwScatt
forward-scatter.
sideScatt
side-scatter.
redFluorBlueLight
red fluorescence under blue light.
greenFluorBlueLight
green fluorescence under blue light.
redFluorRedLight
red fluorescence under red light.
species
name of the plankton species, which is either Dunaliella, Hemiselmis, Isochrysis, Pavlova or Pyramimonas.
Source
Boddy, L., Wilkins, M.F. and Morris, C.W. (2001). Pattern recognition in flow cytometry. Cytometry, 44, 195-209.
Examples
library(HRW) ; data(plankton)
pointCols <- c("red","blue","green","orange","purple")
pairs(plankton[,1:6],col = pointCols[plankton$species],pch = ".")