## ---- include = FALSE--------------------------------------------------------- knitr::opts_chunk$set( collapse = TRUE, comment = "#>" ) ## ----setup-------------------------------------------------------------------- library(transplantr) library(dplyr) ## ----------------------------------------------------------------------------- data(results) results2 <- results %>% mutate(eGFR = ckd_epi(creat = Creatinine, age = Age, sex = Sex, eth = Ethnicity)) results2 ## ----------------------------------------------------------------------------- data(results_US) # using the standard function results_US2 <- results_US %>% mutate(eGFR = ckd_epi(creat = Creatinine, age = Age, sex = Sex, eth = Ethnicity, units = "US")) # using the wrapper function results_US3 <- results_US %>% mutate(eGFR = ckd_epi_US(creat = Creatinine, age = Age, sex = Sex, eth = Ethnicity)) results_US2 results_US3 ## ---- eval = F---------------------------------------------------------------- # mydata$eGFR <- ckd_epi(creat = SCr, age = Age, sex = Sex, eth = Ethnicity) ## ----------------------------------------------------------------------------- data(serial.results) serial.results2 <- serial.results %>% mutate(eGFR_1yr = ckd_epi(creat = Creatinine_1yr, age = Age, sex = Sex, eth = Ethnicity, offset = 1), eGFR_5yr = ckd_epi(creat = Creatinine_5yr, age = Age, sex = Sex, eth = Ethnicity, offset = 5)) serial.results2 ## ---- eval = F---------------------------------------------------------------- # results2m <- results %>% # mutate(eGFR = mdrd(creat = Creatinine, age = Age, sex = Sex, eth = Ethnicity)) ## ---- eval = F---------------------------------------------------------------- # results2p <- results %>% # mutate(eGFR = schwartz(creat = Creatinine, height = Height)) ## ---- eval = F---------------------------------------------------------------- # results2cg <- results %>% # mutate(Ideal.Weight = ibw(height = Height, sex = Sex), # CrClear = cockcroft(creat = Creatinine, age = Age, sex = Sex, # weight = Ideal.Weight))