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Originally discovered in insightsengineering/teal.gallery#218
For such an example
data <- teal_data()
data <- within(data, {
library(random.cdisc.data)
library(nestcolor)
ADSL <- radsl(seed = 1)
ADMH <- radmh(ADSL, seed = 1)
ADVS <- radvs(ADSL, seed = 1)
teal.data::col_labels(ADMH[c("MHDISTAT")]) <- c("Status of Disease")
ADVS <- dplyr::inner_join(x = ADVS, y = ADSL[, c("STUDYID", "USUBJID"), drop = FALSE], by = c("STUDYID", "USUBJID"))
})The code for ADVS should be independent from ADMH, however if you look at the @code slot, you can see:
> data@code
$`1571107062`
[1] "library(random.cdisc.data)"
attr(,"dependency")
[1] "<-" "library" "random.cdisc.data"
$`1741714077`
[1] "library(nestcolor)"
attr(,"dependency")
[1] "<-" "library" "nestcolor"
$`592546423`
[1] "ADSL <- radsl(seed = 1)"
attr(,"dependency")
[1] "ADSL" "<-" "radsl"
$`762969284`
[1] "ADMH <- radmh(ADSL, seed = 1)"
attr(,"dependency")
[1] "ADMH" "<-" "radmh" "ADSL"
$`1761929557`
[1] "ADVS <- radvs(ADSL, seed = 1)"
attr(,"dependency")
[1] "ADVS" "<-" "radvs" "ADSL"
$`1170376272`
[1] "teal.data::col_labels(ADMH[c(\"MHDISTAT\")]) <- c(\"Status of Disease\")"
attr(,"dependency")
[1] "col_labels" "ADMH" "c" "<-" "c"
$`893635413`
[1] "ADVS <- dplyr::inner_join(x = ADVS, y = ADSL[, c(\"STUDYID\", \"USUBJID\"), drop = FALSE], by = c(\"STUDYID\", \"USUBJID\"))"
attr(,"dependency")
[1] "ADVS" "<-" "inner_join" "ADVS" "ADSL"
[6] "c" "c"which means
ADVS is dependent on c (element named893635413), and c is dependent on c (element named 1170376272), so in the end
[1] "teal.data::col_labels(ADMH[c(\"MHDISTAT\")]) <- c(\"Status of Disease\")"gets extracted for the code
> cat(get_code(data, names = 'ADVS'))
library(random.cdisc.data)
library(nestcolor)
ADSL <- radsl(seed = 1)
ADVS <- radvs(ADSL, seed = 1)
teal.data::col_labels(ADMH[c("MHDISTAT")]) <- c("Status of Disease")
ADVS <- dplyr::inner_join(x = ADVS, y = ADSL[, c("STUDYID", "USUBJID"), drop = FALSE], by = c("STUDYID", "USUBJID"))Copilot