The example_data data frame uses data from a recent analysis of BMI and myeloid leukemias. The IDs and dates are fake, so please don't merge it with any existing data or believe and results that come out of it. The data are only useful for learning the various BERG functions
1 | df <- example_data
|
A data frame with 152,046 observations on the following 15 variables.
racenew
Factor w/ 3 levels "White","Black",..: 1 1 1 1 1 1 1 1 3 2 ...
age92m
num 60 65 61 68 68 65 58 66 66 62 ...
sex
Factor w/ 2 levels "Men","Women": 1 1 1 1 1 1 1 1 1 1 ...
bmicat92
Factor w/ 3 levels "18.5-24.9","25-29.9",..: 1 1 1 2 1 2 2 1 1 2 ...
bmi92
num 23.7 24.8 20.3 25.4 23.2 ...
smoke92
Factor w/ 5 levels "Never","Current",..: 3 3 1 3 3 1 3 3 1 3 ...
dead
num 0 0 0 1 1 1 1 1 0 0 ...
myeloid
num 0 0 0 0 0 0 0 0 0 0 ...
bdaydate
Date, format: "1931-01-01" "1927-01-01" "1931-01-01" "1924-01-01" ...
dtint92
Date, format: "1992-01-01" "1992-01-01" "1992-01-01" "1992-01-01" ...
dateft
Date, format: "2010-03-26" "2013-03-28" "2007-01-08" "2007-10-31" ...
AML
num 0 0 0 0 0 0 0 0 0 0 ...
CML
num 0 0 0 0 0 0 0 0 0 0 ...
educ
Factor w/ 4 levels "High school or less",..: 3 3 3 3 3 3 3 3 3 1 ...
id
Character vector similar to our ID variable
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