pheno.path: Phenotypic Path Analysis

Description Usage Arguments Value Examples

View source: R/phenopath.R

Description

Phenotypic Path Analysis

Usage

1
pheno.path(dependent.var, independent.var, genotypes, replication)

Arguments

dependent.var

trait to be considered as a dependent variable

independent.var

traits to be connsidered as an independent variables

genotypes

vector containing genotypes

replication

vector containing replicatons

Value

Direct effects, indirect effects and residual

Examples

1
2
data(vardata)
pheno.path(vardata[11],vardata[3:10],vardata$Genotypes,vardata$Replication)

Example output

$Effects
          DFF       PH       PL       PW       HI       TW     MILL      HRR
DFF   0.01336  0.20331  0.01545  0.03263 -0.09427 -0.09901 -0.01635 -0.02102
PH    0.00842  0.32261  0.02073  0.01486 -0.10529 -0.08225 -0.01946 -0.00651
PL    0.00202  0.06546  0.10216  0.01897 -0.02589  0.03072 -0.04670  0.00096
PW    0.00296  0.03258  0.01317  0.14717  0.09972  0.03443  0.00444 -0.00067
HI   -0.00289 -0.07794 -0.00607  0.03367  0.43582  0.06307  0.02836 -0.01462
TW    0.00552  0.11065 -0.01308 -0.02113 -0.11462 -0.23979  0.01552 -0.01545
MILL -0.00089 -0.02562 -0.01946  0.00266  0.05042 -0.01518  0.24512 -0.05487
HRR   0.00155  0.01158 -0.00054  0.00054  0.03513 -0.02043  0.07415 -0.18138

$Residual
       [,1]
[1,] 0.5613

variability documentation built on Oct. 24, 2020, 9:10 a.m.