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Genotype by Environment Interaction Variances

Source: R/ge_var.R
ge_var.Rd

Calcuates Genotype by Environment Interaction Variances

Usage

# Default S3 method
ge_var(.data, .y, .gen, .env)

Arguments

.data

data.frame

.y

Response Variable

.gen

Genotypes Factor

.env

Environment Factor

Value

Genotype by Environment Interaction Variances

References

Crossa, J., Perez-Elizalde, S., Jarquin, D., Cotes, J.M., Viele, K., Liu, G., and Cornelius, P.L. (2011) Bayesian Estimation of the Additive Main Effects and Multiplicative Interaction Model Crop Science, 51, 1458–1469. (doi: 10.2135/cropsci2010.06.0343)

Author

  1. Muhammad Yaseen (myaseen208@gmail.com)

Examples


data(Maiz)
ge_var(
    .data  = Maiz
   , .y    = y
   , .gen  = entry
   , .env  = site
   )
#> $ge_variances
#>                1         2          3         4          5          6        7
#>  [1,]  232591.29 239433.78   69226.02 295490.41  234259.28  233028.68 176895.7
#>  [2,] 1515737.08 651924.58  289328.62 440024.88  733619.34  112846.52 550173.3
#>  [3,] 1546435.26 560798.45  763984.37 120665.26  261588.77  167638.51 903642.0
#>  [4,]  211896.65 426378.11 2003422.62 160082.39 1523162.44   55109.62 155237.4
#>  [5,]  488114.45 386601.43  815918.70 317691.39  241103.15 1412072.70 572316.8
#>  [6,] 1083169.39 126145.30 3318749.18 304563.93  515867.78  500457.75  19295.0
#>  [7,] 1413644.49  84033.89 1117404.74 146933.42  142661.02  233630.72 404164.9
#>  [8,]   55005.44  51764.22  425937.61 422737.59   82656.01  331408.64 336667.8
#>  [9,] 1739200.59 184723.67 1606346.49  61565.19   44665.42  820530.83 504980.3
#>                8         9        10        11         12         13         14
#>  [1,]  751234.30 3847788.4  28327.35  411126.0   75803.84   87123.56 1151138.72
#>  [2,]  505106.18  910349.2  62164.71  350665.0 1022490.45  236509.34  606341.81
#>  [3,] 1394066.44  207996.5 124323.04 1274302.6  726701.97  107721.70 1401692.42
#>  [4,]  767942.10 3042001.9 176053.65 1091658.5  611209.34 2781307.71 1293484.14
#>  [5,]  348099.27  514745.3 159698.13  206193.3  296823.47   33107.50  304751.60
#>  [6,]  185805.08  260305.7  88058.49 1009732.7 1724462.32  710806.09 2365610.49
#>  [7,]  748140.51 4224452.4  19172.58  389082.9  351349.10 1190590.70 1784078.07
#>  [8,] 1724360.79 2084463.0  21065.72 1982295.2  182000.85 1044827.83   46565.35
#>  [9,]   75567.64 1655346.3  47195.96 1820457.1  372353.65  436979.04 1921406.78
#>              15        16         17        18        19       20
#>  [1,]  559363.0 263863.67 1449534.87 1095435.4 1802424.1 576507.4
#>  [2,]  350564.9  89719.59  356624.46 1965285.4  788734.5  92785.4
#>  [3,]  344613.1 168844.84  367372.35 3108303.7 2035152.6 335182.8
#>  [4,]  168213.2 428856.48   95102.54  746374.0 3128493.0 406133.7
#>  [5,]  727479.8 659732.39  687991.98 2180436.9 2238274.2 123915.9
#>  [6,]  726837.7 295147.01  615533.08 1062672.7 3818258.7 349410.3
#>  [7,]  340744.9  22360.83  284678.26  291727.9 1069468.4 470153.7
#>  [8,]  150886.8 278821.23  278013.67  908954.7 1511361.6 343329.6
#>  [9,] 1325558.4 418681.77  809679.44  217594.0 2354966.4 448988.8
#>