See the FAQ: How to do a minimal reproducible example reprex
for beginners. Most of the pieces are here, but some glitches exist, such as
that requires reverse engineering to address the problems in the terms posed. A reprex
has the advantage of running "as-is" on another's RStudio session.
Couple of pointers before getting to an example using simpler data
- Use snake_case rather than dotted.separators as a matter of good style
- don't name objects
df
,data
,date
or other words that are built-in functions or functions loaded by libraries; some operations give precedence to the function name - Anything in a Stats 101 textbook has a function already written. Instead of
use
subscribe <- rbinom(n=n_pop, size=1, prob=0.5)
- Construct data frames directly
DF <- data.frame(subscribe = subscribe, see_ad = see_ad, buy = buy)
Here is fake data composed of binary outcomes illustrating contingency tables with count and with proportion results.
set.seed(42)
N <- 100
exposed <- rbinom(n=N, size=1, prob=0.25)
set.seed(137)
purchased <- rbinom(n=N, size=1, prob=0.05)
DF <- data.frame(exposed = as.factor(exposed),purchased = as.factor(purchased))
table(DF)
#> purchased
#> exposed 0 1
#> 0 72 2
#> 1 25 1
table(DF)/N
#> purchased
#> exposed 0 1
#> 0 0.72 0.02
#> 1 0.25 0.01