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Modified Additive Main Effects and Multiplicative Interacion Stability Value

Source: R/stab_masv.R
stab_masv.Rd

Additive ANOVA for Genotypes by Environment Interaction (GEI) model

Usage

stab_masv(.data, .y, .rep, .gen, .env, .m = 2)

# Default S3 method
stab_masv(.data, .y, .rep, .gen, .env, .m = 2)

Arguments

.data

data.frame

.y

Response Variable

.rep

Replication Factor

.gen

Genotypes Factor

.env

Environment Factor

.m

No of PCs retained

Value

Additive ANOVA

References

Singh, R. K. and Chaudhary, B. D. (2004) Biometrical Methods in Quantitative Genetic Analysis. New Delhi: Kalyani.

Author

  1. Muhammad Yaseen (myaseen208@gmail.com)

  2. Kent M. Edkridge (keskridge1@unl.edu)

Examples

data(ge_data)
YieldMASV <-
     stab_masv(
            .data = ge_data
          , .y    = Yield
          , .rep  = Rep
          , .gen  = Gen
          , .env  = Env
          , .m    = 2
      )
YieldMASV
#> $MASD
#> # A tibble: 60 × 6
#>    Gen       Mean  MASD rMean rMASD  MYSI
#>    <fct>    <dbl> <dbl> <int> <int> <int>
#>  1 013BT034 4248.  466.    11    18    29
#>  2 122557   4062.  680.    31    28    59
#>  3 122559   4259.  665.    10    27    37
#>  4 12B.2511 4414. 1361.     4    59    63
#>  5 12FJ26   4057.  584.    32    22    54
#>  6 14B.1030 3995.  832.    37    39    76
#>  7 14C036   3943.  814.    41    37    78
#>  8 14C040   3825.  897.    53    42    95
#>  9 9496     4072.  318.    30    10    40
#> 10 AUR0809  3792.  801.    54    36    90
#> # ℹ 50 more rows
#>