IOV on imported dataset

[farmacyst99]

I am trying to simulate a model which has IOV modeling, and I have a data of patients covariates which I want to simulate, but I am not able to implement IOV correctly, as the ID and dosing amount code I have written messes up the sequence of ID. Can you help me here is the model file:

mod <- mcode("iov", code)

patients <- read_csv("~/Desktop/pmx/replicated_patients.csv") %>% slice(1:10) %>% as.data.frame()

newdata <- mutate(patients,ID = 1:n())

data <- realize_addl(ev(amt = 40 * data$BSA, tinf = 0.5, ii = 24, addl = 4, ID = 1:10)) %>% as.data.frame

data <- mutate(data, OCC = cumsum(evid)-1)
data

and this is how my dataframe looks:

[kylebaron]

Hi @farmacyst99 -

Can you try the updated approach below? This lets the event expand function (ev_expand() ... also known as expand.ev()) handle the ID assignment. Please let me know if this is what you were aiming at.

Kyle

library(dplyr)
#> 
#> Attaching package: 'dplyr'
#> The following objects are masked from 'package:stats':
#> 
#>     filter, lag
#> The following objects are masked from 'package:base':
#> 
#>     intersect, setdiff, setequal, union
library(mrgsolve)
#> 
#> Attaching package: 'mrgsolve'
#> The following object is masked from 'package:stats':
#> 
#>     filter

#patients <- read_csv("~/Desktop/pmx/replicated_patients.csv") %>% slice(1:10) %>% as.data.frame()

patients <- data.frame(BSA = runif(10, 0.8, 1.2))

e <- ev_expand(amt = 40*patients$BSA, tinf = 0.5, ii = 24, addl = 4)

data <- realize_addl(e)

data <- mutate(data, OCC = cumsum(evid)-1, .by = ID)

head(data, n = 11)
#>    ID time      amt     rate ii addl cmt evid tinf OCC
#> 1   1    0 43.75310 87.50621  0    0   1    1  0.5   0
#> 2   1   24 43.75310 87.50621  0    0   1    1  0.5   1
#> 3   1   48 43.75310 87.50621  0    0   1    1  0.5   2
#> 4   1   72 43.75310 87.50621  0    0   1    1  0.5   3
#> 5   1   96 43.75310 87.50621  0    0   1    1  0.5   4
#> 6   2    0 32.44486 64.88972  0    0   1    1  0.5   0
#> 7   2   24 32.44486 64.88972  0    0   1    1  0.5   1
#> 8   2   48 32.44486 64.88972  0    0   1    1  0.5   2
#> 9   2   72 32.44486 64.88972  0    0   1    1  0.5   3
#> 10  2   96 32.44486 64.88972  0    0   1    1  0.5   4
#> 11  3    0 39.22790 78.45581  0    0   1    1  0.5   0

^{Created on 2024-12-26 with reprex v2.1.1}