| Type: | Package |
| Title: | Mating Environmental Designs |
| Version: | 1.0.1 |
| Maintainer: | Ashutosh Dalal <ashutosh.dalal97@gmail.com> |
| Description: | In breeding experiments, mating environmental (ME) designs are very popular as mating designs are directly implemented in the field environment using block or row-column designs. Here, three functions are given related to three new methods which will generate mating diallel cross designs (Hinkelmann and Kempthorne, 1963<doi:10.2307/2333899>) or mating environmental (ME) designs along with design parameters, C matrix, eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency factor (CEF). Another one function is added to check the properties of a given ME diallel cross design. |
| Suggests: | MASS |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| Encoding: | UTF-8 |
| RoxygenNote: | 7.3.2 |
| Depends: | R (≥ 3.5) |
| LazyData: | true |
| NeedsCompilation: | no |
| Packaged: | 2025-04-24 14:14:18 UTC; Ashutosh |
| Author: | Ashutosh Dalal [aut, cre], Cini Varghese [aut, ctb], Rajender Parsad [aut, ctb], Mohd Harun [aut, ctb] |
| Repository: | CRAN |
| Date/Publication: | 2025-04-24 14:30:02 UTC |
Checking the Properties of a ME-PDC
Description
Checking the Properties of a ME-PDC
Usage
CheckME_Diallel(design)
Arguments
design |
Provide a ME-PDC |
Value
Generates parameters of the designs along with C matrix, eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency factor (CEF).
Examples
library(MEDesigns)
design<-ME_PDC1(10)$ME_PDC
CheckME_Diallel(design)
Analysis of ME-designs in Block Set-up
Description
For a given field data it will provide analysis result through ANOVA table including gca and sca effect analysis.
Usage
MEBanalysis(data)
Arguments
data |
Columns of dataset should be in order of block, line1,line2, cross number and response. |
Value
Returns the ANOVA table of gca and sca effect analysis.
Examples
library(MEDesigns)
MEBanalysis(MEdata)
ME-CDCs for Even Number of Lines
Description
ME-CDCs for Even Number of Lines
Usage
ME_CDC(lines)
Arguments
lines |
Number of Lines >=6 |
Value
ME-CDCs for an even number of lines along with their parameters, C matrices, eigenvalues (EVs) and canonical efficiency factor (CEF).
Examples
library(MEDesigns)
ME_CDC(6)
ME-PDCs for Even Number of Lines
Description
ME-PDCs for Even Number of Lines
Usage
ME_PDC1(lines)
Arguments
lines |
Number of Lines >=6 |
Value
ME-PDCs for an even number of lines along with their parameters, C matrices, eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency factor (CEF).
Examples
library(MEDesigns)
ME_PDC1(6)
ME PDCs for Composite Number of Lines
Description
ME PDCs for Composite Number of Lines
Usage
ME_PDC2(p, q)
Arguments
p |
Any value (p>=3) |
q |
Any value (q>=3) |
Value
This function will provide ME-PDCs for a composite number, v(= pq) along with basic parameters, C matrix, eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency factor (CEF).
Examples
library(MEDesigns)
ME_PDC2(3,3)
Dataset for ME-PDC
Description
This is a sample dataset for user.
Usage
data("MEdata")Format
A data frame with 40 observations on the following 5 variables.
blocka numeric vector
line1a numeric vector
line2a numeric vector
cross_noa numeric vector
ylda numeric vector
Examples
data(MEdata)