## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set(out.width = "100%", cache = FALSE ) ## ----load_library, eval=TRUE-------------------------------------------------- library(netropy) ## ----load_data, eval=TRUE, include=FALSE-------------------------------------- data(lawdata) adj.advice <- lawdata[[1]] adj.friend <- lawdata[[2]] adj.cowork <-lawdata[[3]] df.att <- lawdata[[4]] ## ----edit_data, eval=TRUE, include=FALSE, results ='hide'--------------------- att.var <- data.frame( status = df.att$status-1, gender = df.att$gender, office = df.att$office-1, years = ifelse(df.att$years<=3,0, ifelse(df.att$years<=13,1,2)), age = ifelse(df.att$age<=35,0, ifelse(df.att$age<=45,1,2)), practice = df.att$practice, lawschool= df.att$lawschool-1 ) dyad.status <- get_dyad_var(att.var$status, type = 'att') dyad.gender <- get_dyad_var(att.var$gender, type = 'att') dyad.office <- get_dyad_var(att.var$office, type = 'att') dyad.years <- get_dyad_var(att.var$years, type = 'att') dyad.age <- get_dyad_var(att.var$age, type = 'att') dyad.practice <- get_dyad_var(att.var$practice, type = 'att') dyad.lawschool <- get_dyad_var(att.var$lawschool, type = 'att') dyad.cwk <- get_dyad_var(adj.cowork, type = 'tie') dyad.adv <- get_dyad_var(adj.advice, type = 'tie') dyad.frn <- get_dyad_var(adj.friend, type = 'tie') dyad.var <- data.frame(cbind(status = dyad.status$var, gender = dyad.gender$var, office = dyad.office$var, years = dyad.years$var, age = dyad.age$var, practice = dyad.practice$var, lawschool = dyad.lawschool$var, cowork = dyad.cwk$var, advice = dyad.adv$var, friend = dyad.frn$var) ) ## ----show_data, eval=TRUE, include=TRUE, results ='markup'-------------------- head(dyad.var) ## ----biv_ent, eval=TRUE, include=TRUE, results ='markup'---------------------- entropy_bivar(dyad.var) ## ----red, eval=TRUE, include=TRUE, results ='markup'-------------------------- redundancy(dyad.var) ## ----edit_data2, eval=TRUE, include=FALSE, results ='hide'-------------------- att.var <- data.frame( senior = df.att$senior, status = df.att$status-1, gender = df.att$gender, office = df.att$office-1, years = ifelse(df.att$years<=3,0, ifelse(df.att$years<=13,1,2)), age = ifelse(df.att$age<=35,0, ifelse(df.att$age<=45,1,2)), practice = df.att$practice, lawschool= df.att$lawschool-1 ) ## ----show_data2, eval=TRUE, include=TRUE, results ='markup'------------------- head(att.var) ## ----red2, eval=TRUE, include=TRUE, results ='markup'------------------------- redundancy(att.var) ## ----biv_ent2, eval=TRUE, include=TRUE, results ='markup'--------------------- entropy_bivar(att.var) ## ----triv_ent, eval=TRUE, include=TRUE, results ='markup'--------------------- entropy_trivar(dyad.var)