library(tidyverse)
set.seed(1)
df_complex_conditions <- tribble(
~KO, ~DrugA, ~Timepoint,
TRUE, "Yes", 8,
TRUE, "Yes", 24,
TRUE, "Yes", 48,
TRUE, "No", 8,
TRUE, "No", 24,
TRUE, "No", 48,
FALSE, "Yes", 8,
FALSE, "Yes", 24,
FALSE, "Yes", 48,
FALSE, "No", 8,
FALSE, "No", 24,
FALSE, "No", 48
) %>%
mutate(response = pmap(., function(KO, DrugA, Timepoint, n=30){
if(!KO){
if(DrugA == "Yes"){
rnorm(n, mean=100 + (Timepoint - 8) * 3, sd=15)
}else{
rnorm(n, mean=100 + (Timepoint - 8) * 1.2, sd=15)
}
}else{
rnorm(n, mean=100, sd=25)
}
})) %>%
unnest()
usethis::use_data(df_complex_conditions, overwrite = TRUE)
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