enantiostylous {FlowerMate}R Documentation

3D enantiostylous population example dataset

Description

Simulated data for one enantiostylous population with 3D data

Usage

data(enantiostylous)

Details

The dataset contains information from 160 sex organs from 40 individuals. For every sex organ, the dataset contains eight columns with the population code, morph, individual ID, sex organ ID, sex organ type, and coordinates x, y and z. This dataset has been obtained using the SimDimor function as shown in the example section.

Value

A data frame with 160 rows and 8 columns.

Author(s)

A.J. Muñoz-Pajares, V.I. Simón-Porcar

Examples


## This dataset has been generated using:

set.seed(1111)
SimDimor (NIDL=20, NIDS=20,Nst=1,Nan=3,Norg.st=1,Norg.an=1,
LSTmeanX=-10, LSTsdX=2, LANmeanX=c(9,7,-7),LANsdX=c(2,2,2),
SSTmeanX=9, SSTsdX=2, SANmeanX=c(-9,-6,6), SANsdX=c(2,2,2),
LSTmeanY=9, LSTsdY=2, LANmeanY=c(7,3,3) ,LANsdY=c(2,2,2),
SSTmeanY=8, SSTsdY=2, SANmeanY=c(6,2,3), SANsdY=c(2,2,2),
LSTmeanZ=15, LSTsdZ=2, LANmeanZ=c(16,15,15) ,LANsdZ=c(2,2,2),
SSTmeanZ=16, SSTsdZ=2, SANmeanZ=c(15,15,15), SANsdZ=c(2,2,2),
pop_code="enantiostylous")



## To load and test the inaccuracy function:

data(enantiostylous)
#  inaccuracy(enantiostylous)


[Package FlowerMate version 1.0 Index]