## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) options(rmarkdown.html_vignette.check_title = FALSE) ## ----echo=TRUE, message=FALSE, warning=FALSE---------------------------------- library(BGmisc) library(tidyverse) library(discord) data(potter) ## ----------------------------------------------------------------------------- df_potter <- potter names(df_potter)[names(df_potter) == "famID"] <- "oldfam" df_potter <- ped2fam(df_potter, famID = "famID", personID = "personID" ) ## ----------------------------------------------------------------------------- add <- ped2add(df_potter) cn <- ped2cn(df_potter) ## ----------------------------------------------------------------------------- df_potter <- checkSex(df_potter, code_male = 1, code_female = 0, verbose = FALSE, repair = TRUE ) ## ----fig.cap="Pedigree plot of the Potter dataset", fig.width=8, fig.height=6, echo=FALSE---- plotPedigree(df_potter) %>% suppressMessages() ## ----------------------------------------------------------------------------- df_links <- com2links( writetodisk = FALSE, ad_ped_matrix = add, cn_ped_matrix = cn, drop_upper_triangular = TRUE ) %>% filter(ID1 != ID2) df_links %>% slice(1:10) %>% knitr::kable() ## ----------------------------------------------------------------------------- df_sim <- df_links %>% filter(addRel == .5) %>% # only full siblings %>% filter(cnuRel == 1) # only kin raised in the same home df_cousin <- df_links %>% filter(addRel == .125) %>% # only cousins %>% filter(cnuRel == 0) # only kin raised in separate homes ## ----------------------------------------------------------------------------- set.seed(1234) syn_df <- discord::kinsim( mu_all = c(1, 1), cov_a = .4, cov_e = .4, c_all = 0, r_vector = df_cousin$addRel ) %>% select(-c( A1_1, A1_2, A2_1, A2_2, C1_1, C1_2, C2_1, C2_2, E1_1, E1_2, E2_1, E2_2, r )) ## ----------------------------------------------------------------------------- data_demo <- cbind(df_cousin, syn_df) summary(data_demo) ## ----------------------------------------------------------------------------- model_output <- discord_regression( data = data_demo, outcome = "y1", predictors = "y2", id = "id", sex = NULL, race = NULL, pair_identifiers = c("_1", "_2") ) summary(model_output)