run_Demo | R Documentation |
This module will load and modify demographic data.
run_Demo(demo.path, demo.columns = list(), toexclude, demo.mod.list)
demo.path |
filename of demographic file (CSV, RData, RDS) or data.frame |
demo.columns |
a named list that should specify columns in demo data; ‘id’, is required. |
toexclude |
expression that should evaluate to a logical, indicating if the observation should be excluded |
demo.mod.list |
list of expressions, giving modifications to make |
See EHR Vignette for Structured Data.
list with two components
demo |
demographic data |
exclude |
vector of excluded visit IDs |
set.seed(2525) dateSeq <- seq(as.Date('2019/01/01'), as.Date('2020/01/01'), by="day") demo <- data.frame(mod_id_visit = 1:10, weight.lbs = rnorm(10,160,20), age = rnorm(10, 50, 10), enroll.date = sample(dateSeq, 10)) tmpfile <- paste0(tempfile(), '.rds') saveRDS(demo, file = tmpfile) # exclusion functions exclude_wt <- function(x) x < 150 exclude_age <- function(x) x > 60 ind.risk <- function(wt, age) wt>170 & age>55 exclude_enroll <- function(x) x < as.Date('2019/04/01') # make demographic data that: # (1) excludes ids with weight.lbs < 150, age > 60, or enroll.date before 2019/04/01 # (2) creates new 'highrisk' variable for subjects with weight.lbs>170 and age>55 out <- run_Demo(demo.path = tmpfile, demo.columns = list(id = 'mod_id_visit'), toexclude = expression( exclude_wt(weight.lbs)|exclude_age(age)|exclude_enroll(enroll.date) ), demo.mod.list = list(highrisk = expression(ind.risk(weight.lbs, age)))) out
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