## ----setup-------------------------------------------------------------------- source("https://raw.githubusercontent.com/Flavjack/inti/master/pkgdown/favicon/docs.r") knitr::opts_chunk$set(echo = TRUE) ## ----------------------------------------------------------------------------- tibble( Standart = "$H^2=\\frac{\\sigma_g^2}{\\sigma_p^2}=\\frac{\\Delta G}{S}$", Cullis = "$H_{Cullis}^2=1-\\frac{\\overline{V}_{\\Delta..}^{^{BLUP}}}{2\\cdot\\sigma_g^2}$", Piepho = "$H_{Piepho}^2=\\frac{\\sigma_g^2}{\\sigma_g^2+\\frac{\\overline{V}_{\\Delta..}^{BLUE}}{2}}$" ) %>% kable(caption = "Differentes heritability calculation") ## ----------------------------------------------------------------------------- library(inti) ## ----------------------------------------------------------------------------- dt <- inti::potato hr <- H2cal(data = dt , trait = "stemdw" , gen.name = "geno" , rep.n = 5 , fixed.model = ~ 0 + (1|bloque) + geno , random.model = ~ 1 + (1|bloque) + (1|geno) , emmeans = TRUE , plot_diag = FALSE , outliers.rm = TRUE ) ## ----------------------------------------------------------------------------- hr$model %>% summary() ## ----------------------------------------------------------------------------- hr$tabsmr %>% kable(caption = "Variance component table") ## ----------------------------------------------------------------------------- hr$blues %>% kable(caption = "BLUEs") ## ----------------------------------------------------------------------------- hr$blups %>% kable(caption = "BLUPs") ## ----------------------------------------------------------------------------- hr$outliers$fixed %>% kable(caption = "Outliers fixed model") ## ----------------------------------------------------------------------------- hr$outliers$random %>% kable(caption = "Outliers random model") ## ----------------------------------------------------------------------------- if(!file.exists("files/pkgs.bib")){write_bib(c(.packages()),'files/pkgs.bib')}