Replies: 2 comments 3 replies
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I'm not sure that I understand the question. You can make intervals separate by analyte by including a column for your analyte in the intervals data.frame, if desired. Then, you can set the imputation on a per-analyte basis. Is that what you're asking about? For example, if you have your analyte in a d_intervals <-
data.frame(
PCTEST = c("main drug", "metabolite"),
start = 0, end = 24,
cmax = TRUE,
impute = c("start_predose", "start_conc0")
)
d_intervals
#> PCTEST start end cmax impute
#> 1 main drug 0 24 TRUE start_predose
#> 2 metabolite 0 24 TRUE start_conc0 Created on 2025-01-23 with reprex v2.1.1 |
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@billdenney you are right this can entirely be done by the user already, thanks! 😅 I am only thinking that maybe this could also be done by default when in |
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Hello, I was just wondering if once
PKNCAdata()
creates the$intervals
dataframe would not be good that these are already also segregated by$analyte
. I can imagine that sometimes certain customizations such as the$impute
rule can be interesting to be done differently depending on the analyte (main drug, metabolite, conjugates...).Beta Was this translation helpful? Give feedback.
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