PKCG02

Plot of PK Concentration Over Time by Cohort/Treatment Group/Dose

Output

Preview
Try this using WebR

Code

adpc_a <- adpc %>%
  filter(
    PARAM == "Plasma Drug X",
    ARMCD == "ARM A"
  ) %>%
  mutate(Patient_ID = sub(".*id-", "", USUBJID)) %>%
  filter(Patient_ID %in% unique(Patient_ID)[1:10])

use_title1 <- "Plot of X Concentration (ug/mL) Over Time by Treatment: \nPK Evaluable Patients"
use_subtitle1 <- "Analyte: Plasma X (ug/mL) \nTreatment Group: ARM A"
use_footnote1 <- "Program: \nOutput:"

plot <- g_ipp(
  df = adpc_a,
  xvar = "NFRLT",
  yvar = "AVAL",
  xlab = "Norminal Time from First Dose (hr)",
  ylab = "Concentration (ug/mL)",
  id_var = "Patient_ID",
  add_baseline_hline = FALSE,
  yvar_baseline = "AVAL", #  yvar_baseline cannot be NA or ignore
  title = use_title1,
  subtitle = use_subtitle1,
  caption = use_footnote1,
  plotting_choices = "all_in_one"
)
plot

Experimental use!

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R Code

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Run Code

adpc_a <- adpc %>%

filter(

PARAM == "Plasma Drug X",

ARMCD == "ARM A"

) %>%

mutate(Patient_ID = sub(".*id-", "", USUBJID)) %>%

filter(Patient_ID %in% unique(Patient_ID)[1:10])

use_title1 <- "Plot of X Concentration (ug/mL) Over Time by Treatment: \nPK Evaluable Patients"

use_subtitle1 <- "Analyte: Plasma X (ug/mL) \nTreatment Group: ARM A"

use_footnote1 <- "Program: \nOutput:"

plot <- g_ipp(

df = adpc_a,

xvar = "NFRLT",

yvar = "AVAL",

xlab = "Norminal Time from First Dose (hr)",

ylab = "Concentration (ug/mL)",

id_var = "Patient_ID",

add_baseline_hline = FALSE,

yvar_baseline = "AVAL", # yvar_baseline cannot be NA or ignore

title = use_title1,

subtitle = use_subtitle1,

caption = use_footnote1,

plotting_choices = "all_in_one"

)

plot

_webr_editor_2 = Object {code: "adpc_a <- adpc %>%\n filter(\n PARAM == \"Plasma …otnote1,\n plotting_choices = \"all_in_one\"\n)\nplot", options: Object, indicator: Ke}

Preview
Try this using WebR

Code

adpc_a <- adpc %>%
  filter(
    PARAM == "Plasma Drug X",
    ARMCD == "ARM A"
  ) %>%
  mutate(Patient_ID = sub(".*id-", "", USUBJID)) %>%
  mutate(avalog = ifelse(AVAL != 0, AVAL, 0.001)) %>%
  filter(Patient_ID %in% unique(Patient_ID)[1:10])

use_title3 <- "Log-scale Plot of X Concentration (ug/mL) Over Time by Treatment: \nPK Evaluable Patients"
use_subtitle3 <- "Analyte: Plasma X (ug/mL) \nTreatment Group: ARM A"
use_footnote3 <- "Program: \nOutput:"

result <- g_ipp(
  df = adpc_a,
  xvar = "NFRLT",
  yvar = "avalog",
  xlab = "Norminal Time from First Dose (hr)",
  ylab = "Concentration (ug/mL)",
  id_var = "Patient_ID",
  add_baseline_hline = FALSE,
  yvar_baseline = "AVAL", #  yvar_baseline cannot be NA or ignore
  title = use_title3,
  caption = use_footnote3,
  subtitle = use_subtitle3,
  plotting_choices = "all_in_one"
)
plot <- result + ggplot2::scale_y_log10(breaks = c(0.001, 0.01, 0.1, 1, 10), labels = c(0.001, 0.01, 0.1, 1, 10))
plot

Experimental use!

WebR is a tool allowing you to run R code in the web browser. Modify the code below and click run to see the results. Alternatively, copy the code and click here to open WebR in a new tab.

R Code

Start Over

Run Code

adpc_a <- adpc %>%

filter(

PARAM == "Plasma Drug X",

ARMCD == "ARM A"

) %>%

mutate(Patient_ID = sub(".*id-", "", USUBJID)) %>%

mutate(avalog = ifelse(AVAL != 0, AVAL, 0.001)) %>%

filter(Patient_ID %in% unique(Patient_ID)[1:10])

use_title3 <- "Log-scale Plot of X Concentration (ug/mL) Over Time by Treatment: \nPK Evaluable Patients"

use_subtitle3 <- "Analyte: Plasma X (ug/mL) \nTreatment Group: ARM A"

use_footnote3 <- "Program: \nOutput:"

result <- g_ipp(

df = adpc_a,

xvar = "NFRLT",

yvar = "avalog",

xlab = "Norminal Time from First Dose (hr)",

ylab = "Concentration (ug/mL)",

id_var = "Patient_ID",

add_baseline_hline = FALSE,

yvar_baseline = "AVAL", # yvar_baseline cannot be NA or ignore

title = use_title3,

caption = use_footnote3,

subtitle = use_subtitle3,

plotting_choices = "all_in_one"

)

plot <- result + ggplot2::scale_y_log10(breaks = c(0.001, 0.01, 0.1, 1, 10), labels = c(0.001, 0.01, 0.1, 1, 10))

plot

_webr_editor_3 = Object {code: "adpc_a <- adpc %>%\n filter(\n PARAM == \"Plasma …1, 10), labels = c(0.001, 0.01, 0.1, 1, 10))\nplot", options: Object, indicator: Ke}

Code

library(tern)
library(dplyr)
library(ggplot2)
library(nestcolor)

adpc <- random.cdisc.data::cadpc

Reproducibility

Timestamp

[1] "2025-04-09 18:12:16 UTC"

Session Info

─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.4.2 (2024-10-31)
 os       Ubuntu 24.04.1 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  en_US.UTF-8
 ctype    en_US.UTF-8
 tz       Etc/UTC
 date     2025-04-09
 pandoc   3.6.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.6.43 @ /usr/local/bin/quarto

─ Packages ───────────────────────────────────────────────────────────────────
 package           * version     date (UTC) lib source
 backports           1.5.0       2024-05-23 [1] RSPM
 brio                1.1.5       2024-04-24 [1] RSPM
 broom               1.0.8       2025-03-28 [1] RSPM
 checkmate           2.3.2       2024-07-29 [1] RSPM
 cli                 3.6.4       2025-02-13 [1] RSPM
 codetools           0.2-20      2024-03-31 [2] CRAN (R 4.4.2)
 colorspace          2.1-1       2024-07-26 [1] RSPM
 curl                6.2.2       2025-03-24 [1] RSPM
 digest              0.6.37      2024-08-19 [1] RSPM
 dplyr             * 1.1.4       2023-11-17 [1] RSPM
 evaluate            1.0.3       2025-01-10 [1] RSPM
 farver              2.1.2       2024-05-13 [1] RSPM
 fastmap             1.2.0       2024-05-15 [1] RSPM
 formatters        * 0.5.11.9000 2025-04-09 [1] https://p~
 generics            0.1.3       2022-07-05 [1] RSPM
 ggplot2           * 3.5.2       2025-04-09 [1] CRAN (R 4.4.2)
 glue                1.8.0       2024-09-30 [1] RSPM
 gtable              0.3.6       2024-10-25 [1] RSPM
 htmltools           0.5.8.1     2024-04-04 [1] RSPM
 htmlwidgets         1.6.4       2023-12-06 [1] RSPM
 jsonlite            2.0.0       2025-03-27 [1] RSPM
 knitr               1.50        2025-03-16 [1] RSPM
 labeling            0.4.3       2023-08-29 [1] RSPM
 lattice             0.22-7      2025-04-02 [2] CRAN (R 4.4.2)
 lifecycle           1.0.4       2023-11-07 [1] RSPM
 magrittr          * 2.0.3       2022-03-30 [1] RSPM
 Matrix              1.7-3       2025-03-11 [1] CRAN (R 4.4.2)
 munsell             0.5.1       2024-04-01 [1] RSPM
 nestcolor         * 0.1.3.9000  2025-04-09 [1] https://p~
 pillar              1.10.2      2025-04-05 [1] RSPM
 pkgcache            2.2.3       2024-09-12 [1] RSPM
 pkgconfig           2.0.3       2019-09-22 [1] RSPM
 processx            3.8.6       2025-02-21 [1] RSPM
 ps                  1.9.0       2025-02-18 [1] RSPM
 purrr               1.0.4       2025-02-05 [1] RSPM
 R6                  2.6.1       2025-02-15 [1] RSPM
 random.cdisc.data   0.3.16.9002 2025-04-09 [1] https://p~
 rbibutils           2.3         2024-10-04 [1] RSPM
 Rdpack              2.6.4       2025-04-09 [1] RSPM
 rlang               1.1.5       2025-01-17 [1] RSPM
 rmarkdown           2.29        2024-11-04 [1] RSPM
 rtables           * 0.6.11.9019 2025-04-09 [1] https://p~
 scales              1.3.0       2023-11-28 [1] RSPM
 sessioninfo         1.2.3       2025-02-05 [1] any (@1.2.3)
 stringi             1.8.7       2025-03-27 [1] RSPM
 stringr             1.5.1       2023-11-14 [1] RSPM
 survival            3.8-3       2024-12-17 [2] CRAN (R 4.4.2)
 tern              * 0.9.7.9018  2025-04-09 [1] https://p~
 testthat            3.2.3       2025-01-13 [1] RSPM
 tibble              3.2.1       2023-03-20 [1] RSPM
 tidyr               1.3.1       2024-01-24 [1] RSPM
 tidyselect          1.2.1       2024-03-11 [1] RSPM
 vctrs               0.6.5       2023-12-01 [1] RSPM
 withr               3.0.2       2024-10-28 [1] RSPM
 xfun                0.52        2025-04-02 [1] RSPM
 yaml                2.3.10      2024-07-26 [1] RSPM

 [1] /usr/local/lib/R/site-library
 [2] /usr/local/lib/R/library
 [3] /github/home/R/x86_64-pc-linux-gnu-library/4.4
 * ── Packages attached to the search path.

──────────────────────────────────────────────────────────────────────────────

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Output

Reproducibility

Timestamp

Session Info

.lock file

`.lock` file