R/stab_masv.R
stab_masv.RdAdditive ANOVA for Genotypes by Environment Interaction (GEI) model
stab_masv(.data, .y, .rep, .gen, .env, .m = 2) # S3 method for default stab_masv(.data, .y, .rep, .gen, .env, .m = 2)
| .data | data.frame |
|---|---|
| .y | Response Variable |
| .rep | Replication Factor |
| .gen | Genotypes Factor |
| .env | Environment Factor |
| .m | No of PCs retained |
Additive ANOVA
Singh, R. K. and Chaudhary, B. D. (2004) Biometrical Methods in Quantitative Genetic Analysis. New Delhi: Kalyani.
data(ge_data) YieldMASV <- stab_masv( .data = ge_data , .y = Yield , .rep = Rep , .gen = Gen , .env = Env , .m = 2 ) YieldMASV#> $MASD #> [38;5;246m# A tibble: 60 x 6[39m #> Gen Mean MASD rMean rMASD MYSI #> [3m[38;5;246m<fct>[39m[23m [3m[38;5;246m<dbl>[39m[23m [3m[38;5;246m<dbl>[39m[23m [3m[38;5;246m<int>[39m[23m [3m[38;5;246m<int>[39m[23m [3m[38;5;246m<int>[39m[23m #> [38;5;250m 1[39m 013BT034 [4m4[24m248. 466. 11 18 29 #> [38;5;250m 2[39m 122557 [4m4[24m062. 680. 31 28 59 #> [38;5;250m 3[39m 122559 [4m4[24m259. 665. 10 27 37 #> [38;5;250m 4[39m 12B.2511 [4m4[24m414. [4m1[24m361. 4 59 63 #> [38;5;250m 5[39m 12FJ26 [4m4[24m057. 584. 32 22 54 #> [38;5;250m 6[39m 14B.1030 [4m3[24m995. 832. 37 39 76 #> [38;5;250m 7[39m 14C036 [4m3[24m943. 814. 41 37 78 #> [38;5;250m 8[39m 14C040 [4m3[24m825. 897. 53 42 95 #> [38;5;250m 9[39m 9496 [4m4[24m072. 318. 30 10 40 #> [38;5;250m10[39m AUR0809 [4m3[24m792. 801. 54 36 90 #> [38;5;246m# ... with 50 more rows[39m #>