I hope this modified example will work
set.seed(100)
disease<-paste(rep(c('y','n'),50))
gender<-c(paste(rep(c('m','f'),25)), paste(rep(c('f','m'),25)))
mcp<-rnorm(100, mean=1000,sd=600)
age<-rnorm(100,mean=32,sd=20)
dat<-data.frame(disease=disease,sex=gender,Dr_age=age,MCP=mcp)
the output should be very closely in age for equal number of disease and
gender.
disease sex Dr_age MCP
99 y f 25.87435 -534.4172
93 y f 65.60017 1741.8817
47 y m 46.15360 407.0412
19 y m 26.24546 910.1833
24 n f 66.53540 1343.3980
30 n f 47.21835 888.0062
78 n m 42.75345 1605.1334
82 n m 27.05292 1671.9386
>
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