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(v0.7.1.9076) mo codes

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dr. M.S. (Matthijs) Berends
2019-09-20 12:33:05 +02:00
parent e2aa4f996b
commit 3596adb295
41 changed files with 465 additions and 520 deletions
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vignettes/AMR.Rmd
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@ -121,8 +121,7 @@ data <- data.frame(date = sample(dates, size = sample_size, replace = TRUE),
CIP = sample(ab_interpretations, size = sample_size, replace = TRUE,
prob = c(0.80, 0.00, 0.20)),
GEN = sample(ab_interpretations, size = sample_size, replace = TRUE,
prob = c(0.92, 0.00, 0.08))
)
prob = c(0.92, 0.00, 0.08)))
```
Using the `left_join()` function from the `dplyr` package, we can 'map' the gender to the patient ID using the `patients_table` object we created earlier: