Dear All-
I have a data with genotype and medication exposure on repeated dates. I’m trying to table the counts of the genotypes for unique individuals in each medication group . I tried several codes to summarize the data by genotypes and medications, but with no luck
I used summarize and group_by from dplyr
output<-d1 %>%
group_by(d1$`Med Order Display Name`,d1$`CYP2C19 Genotype`) %>% distinct(d1$`Record ID`)%>%summarise(n())
Another code I tried
with(d1, tapply(d1$`Med Order Display Name`, d1$`CYP2C19 Genotype`, FUN = function(x) length(unique(x))))
I appreciate your input on a direction I should take.
My example data is
Record ID
CYP2C19 Genotype
Med Order Display Name
3
*1/*1
pantoprazole (PROTONIX) injection 40 mg
3
*1/*1
pantoprazole (PROTONIX) injection 40 mg
3
*1/*1
pantoprazole (PROTONIX) EC tablet 40 mg
13
*1/*17
pantoprazole (PROTONIX) 40 MG Tablet Delayed Release
13
*1/*17
pantoprazole (PROTONIX) 40 MG Tablet Delayed Release
13
*1/*17
pantoprazole (PROTONIX) 40 MG tablet
13
*1/*17
pantoprazole (PROTONIX) 40 MG tablet
28
*1/*1
esomeprazole (NexIUM) capsule 20 mg
28
*1/*1
pantoprazole (PROTONIX) EC tablet 40 mg
28
*1/*1
pantoprazole (PROTONIX) 40 MG tablet
28
*1/*1
esomeprazole (NexIUM) capsule 40 mg
52
*1/*1
NEXIUM 40 MG Capsule Delayed Release
52
*1/*1
NEXIUM 40 MG Capsule Delayed Release
52
*1/*1
esomeprazole (NexIUM) 40 MG Capsule Delayed Release
52
*1/*1
NEXIUM 40 MG PO Capsule Delayed Release
I hope I can get an output like that
pantoprazole (PROTONIX) injection 40 mg
pantoprazole (PROTONIX) EC tablet 40 mg
pantoprazole (PROTONIX) 40 MG Tablet Delayed Release
pantoprazole (PROTONIX) 40 MG tablet
esomeprazole (NexIUM) capsule 20 mg
NEXIUM 40 MG Capsule Delayed Release
NEXIUM 40 MG PO Capsule Delayed Release
esomeprazole (NexIUM) 40 MG Capsule Delayed Release
*1/*2
xx
xx
xx
xx
*1/*17
xx
xx
xx
xx
*1/*2
xx
xx
xx
xx
inconclusive
xx
xx
xx
xx
*2/*2
xx
xx
xx
xx
*17/*17
xx
xx
xx
xx
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and provide commented, minimal, self-contained, reproducible code.
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