TLG Catalog - Dev
  • Dev
    • Stable
  1. Tables
  2. Pharmacokinetic
  3. PKPT06
  • Introduction

  • Tables
    • ADA
      • ADAT01
      • ADAT02
      • ADAT03
      • ADAT04A
      • ADAT04B
    • Adverse Events
      • AET01
      • AET01_AESI
      • AET02
      • AET02_SMQ
      • AET03
      • AET04
      • AET04_PI
      • AET05
      • AET05_ALL
      • AET06
      • AET06_SMQ
      • AET07
      • AET09
      • AET09_SMQ
      • AET10
    • Concomitant Medications
      • CMT01
      • CMT01A
      • CMT01B
      • CMT02_PT
    • Deaths
      • DTHT01
    • Demography
      • DMT01
    • Disclosures
      • DISCLOSUREST01
      • EUDRAT01
      • EUDRAT02
    • Disposition
      • DST01
      • PDT01
      • PDT02
    • ECG
      • EGT01
      • EGT02
      • EGT03
      • EGT04
      • EGT05_QTCAT
    • Efficacy
      • AOVT01
      • AOVT02
      • AOVT03
      • CFBT01
      • CMHT01
      • COXT01
      • COXT02
      • DORT01
      • LGRT02
      • MMRMT01
      • ONCT05
      • RATET01
      • RBMIT01
      • RSPT01
      • TTET01
    • Exposure
      • EXT01
    • Lab Results
      • LBT01
      • LBT02
      • LBT03
      • LBT04
      • LBT05
      • LBT06
      • LBT07
      • LBT08
      • LBT09
      • LBT10
      • LBT10_BL
      • LBT11
      • LBT11_BL
      • LBT12
      • LBT12_BL
      • LBT13
      • LBT14
      • LBT15
    • Medical History
      • MHT01
    • Pharmacokinetic
      • PKCT01
      • PKPT02
      • PKPT03
      • PKPT04
      • PKPT05
      • PKPT06
      • PKPT07
      • PKPT08
      • PKPT11
    • Risk Management Plan
      • RMPT01
      • RMPT03
      • RMPT04
      • RMPT05
      • RMPT06
    • Safety
      • ENTXX
    • Vital Signs
      • VST01
      • VST02
  • Listings
    • ADA
      • ADAL02
    • Adverse Events
      • AEL01
      • AEL01_NOLLT
      • AEL02
      • AEL02_ED
      • AEL03
      • AEL04
    • Concomitant Medications
      • CML01
      • CML02A_GL
      • CML02B_GL
    • Development Safety Update Report
      • DSUR4
    • Disposition
      • DSL01
      • DSL02
    • ECG
      • EGL01
    • Efficacy
      • ONCL01
    • Exposure
      • EXL01
    • Lab Results
      • LBL01
      • LBL01_RLS
      • LBL02A
      • LBL02A_RLS
      • LBL02B
    • Medical History
      • MHL01
    • Pharmacokinetic
      • ADAL01
      • PKCL01
      • PKCL02
      • PKPL01
      • PKPL02
      • PKPL04
    • Vital Signs
      • VSL01
  • Graphs
    • Efficacy
      • FSTG01
      • FSTG02
      • KMG01
      • MMRMG01
      • MMRMG02
    • Other
      • BRG01
      • BWG01
      • CIG01
      • IPPG01
      • LTG01
      • MNG01
    • Pharmacokinetic
      • PKCG01
      • PKCG02
      • PKCG03
      • PKPG01
      • PKPG02
      • PKPG03
      • PKPG04
      • PKPG06

  • Appendix
    • Reproducibility

  • Index

On this page

  • Output
  • Reproducibility
    • Timestamp
    • Session Info
    • .lock file
  • Edit this page
  • Report an issue
  1. Tables
  2. Pharmacokinetic
  3. PKPT06

PKPT06

Pharmacokinetic Parameter Summary – Dose-Normalized PK Parameters (Stats in Rows)


Output

  • Standard Table
  • Data Setup
Code
# lyt creation
lyt <- basic_table() %>%
  split_cols_by(
    var = "ARMCD",
    split_fun = trim_levels_in_group("ARMCD"),
    split_label = "Treatment Arm"
  ) %>%
  split_rows_by(
    var = "PKPARAM",
    label_pos = "topleft",
    split_label = "PK Parameter"
  ) %>%
  tern::analyze_vars(
    vars = "AVAL",
    .stats = c("n", "mean_sd", "cv", "geom_mean", "geom_cv", "median", "range"),
    .formats = c(
      n = "xx.",
      mean_sd = format_sigfig(3, "xx (xx)"),
      cv = "xx.x",
      geom_mean = format_sigfig(3),
      geom_cv = "xx.x",
      median = format_sigfig(3),
      range = format_sigfig(3, "xx - xx")
    )
  )

Plasma Drug X

  • Preview
  • Try this using WebR
Code
adpp0 <- adpp %>%
  filter(PPCAT == "Plasma Drug X") %>%
  h_pkparam_sort() %>%
  mutate(PKPARAM = factor(paste0(TLG_DISPLAY, " (", AVALU, ")"))) %>%
  mutate(PKPARAM = reorder(PKPARAM, TLG_ORDER))

result <- build_table(lyt, df = adpp0)
main_title(result) <- paste("Summary of Dose-Normalized PK Parameter by Treatment Arm, PK Population")
subtitles(result) <- paste("Analyte:", unique(adpp0$PPCAT), "\nVisit:", unique(adpp0$AVISIT))
result
Summary of Dose-Normalized PK Parameter by Treatment Arm, PK Population
Analyte: Plasma Drug X 
Visit: CYCLE 1 DAY 1

———————————————————————————————————————————————————————————————
PK Parameter                  ARM A                ARM C       
———————————————————————————————————————————————————————————————
RENALCLD (L/hr/mg)                                             
  n                            134                  132        
  Mean (SD)             0.00487 (0.000965)   0.00511 (0.000934)
  CV (%)                       19.8                 18.3       
  Geometric Mean             0.00477              0.00502      
  CV % Geometric Mean          21.2                 19.7       
  Median                     0.00497              0.00515      
  Min - Max             0.00238 - 0.00726    0.00236 - 0.00741 
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.

Plasma Drug Y

  • Preview
  • Try this using WebR
Code
adpp1 <- adpp %>%
  filter(PPCAT == "Plasma Drug Y") %>%
  h_pkparam_sort() %>%
  mutate(PKPARAM = factor(paste0(TLG_DISPLAY, " (", AVALU, ")"))) %>%
  mutate(PKPARAM = reorder(PKPARAM, TLG_ORDER))

result <- build_table(lyt, df = adpp1)
main_title(result) <- paste("Summary of Dose-Normalized PK Parameter by Treatment Arm, PK Population")
subtitles(result) <- paste("Analyte:", unique(adpp1$PPCAT), "\nVisit:", unique(adpp1$AVISIT))
result
Summary of Dose-Normalized PK Parameter by Treatment Arm, PK Population
Analyte: Plasma Drug Y 
Visit: CYCLE 1 DAY 1

—————————————————————————————————————————
PK Parameter                  ARM C      
—————————————————————————————————————————
RENALCLD (L/hr/mg)                       
  n                            132       
  Mean (SD)             0.00509 (0.00103)
  CV (%)                      20.3       
  Geometric Mean             0.00499     
  CV % Geometric Mean         21.4       
  Median                     0.00502     
  Min - Max             0.00236 - 0.00794
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.

Code
library(dplyr)
library(tern)
library(stringr)

adpp <- random.cdisc.data::cadpp
adpp <- adpp %>%
  filter(AVISIT == "CYCLE 1 DAY 1", str_detect(tolower(PARAM), regex("norm by dose", ignore_case = TRUE)))

Reproducibility

Timestamp

[1] "2025-08-13 17:47:05 UTC"

Session Info

─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.5.0 (2025-04-11)
 os       Ubuntu 24.04.2 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  en_US.UTF-8
 ctype    en_US.UTF-8
 tz       Etc/UTC
 date     2025-08-13
 pandoc   3.7.0.2 @ /usr/bin/ (via rmarkdown)
 quarto   1.7.32 @ /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               1.0.9       2025-07-28 [1] RSPM
 checkmate           2.3.2       2024-07-29 [1] RSPM
 cli                 3.6.5       2025-04-23 [1] RSPM
 codetools           0.2-20      2024-03-31 [2] CRAN (R 4.5.0)
 curl                6.4.0       2025-06-22 [1] RSPM
 dichromat           2.0-0.1     2022-05-02 [1] CRAN (R 4.5.0)
 digest              0.6.37      2024-08-19 [1] RSPM
 dplyr             * 1.1.4       2023-11-17 [1] RSPM
 evaluate            1.0.4       2025-06-18 [1] RSPM
 farver              2.1.2       2024-05-13 [1] RSPM
 fastmap             1.2.0       2024-05-15 [1] RSPM
 formatters        * 0.5.11.9002 2025-08-13 [1] https://p~
 generics            0.1.4       2025-05-09 [1] RSPM
 ggplot2             3.5.2.9002  2025-08-13 [1] https://p~
 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
 lattice             0.22-7      2025-04-02 [2] CRAN (R 4.5.0)
 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 4.5.0)
 nestcolor           0.1.3.9000  2025-08-13 [1] https://p~
 pillar              1.11.0      2025-07-04 [1] RSPM
 pkgcache            2.2.4       2025-05-26 [1] RSPM
 pkgconfig           2.0.3       2019-09-22 [1] RSPM
 processx            3.8.6       2025-02-21 [1] RSPM
 ps                  1.9.1       2025-04-12 [1] RSPM
 purrr               1.1.0       2025-07-10 [1] RSPM
 R6                  2.6.1       2025-02-15 [1] RSPM
 random.cdisc.data   0.3.16.9006 2025-08-13 [1] https://p~
 rbibutils           2.3         2024-10-04 [1] RSPM
 RColorBrewer        1.1-3       2022-04-03 [1] RSPM
 Rdpack              2.6.4       2025-04-09 [1] RSPM
 rlang               1.1.6       2025-04-11 [1] RSPM
 rmarkdown           2.29        2024-11-04 [1] RSPM
 rtables           * 0.6.13.9000 2025-08-13 [1] https://p~
 S7                  0.2.0       2024-11-07 [1] RSPM
 scales              1.4.0       2025-04-24 [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 4.5.0)
 tern              * 0.9.9.9001  2025-08-13 [1] https://p~
 testthat            3.2.3       2025-01-13 [1] RSPM
 tibble              3.3.0       2025-06-08 [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
 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/4.5
 * ── Packages attached to the search path.

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

.lock file

Download the .lock file and use renv::restore() on it to recreate environment used to generate this website.

Download

PKPT05
PKPT07
Source Code
---
title: PKPT06
subtitle: Pharmacokinetic Parameter Summary -- Dose-Normalized PK Parameters (Stats in Rows)
---

------------------------------------------------------------------------

{{< include ../../_utils/envir_hook.qmd >}}

```{r setup, echo = FALSE, warning = FALSE, message = FALSE}
library(dplyr)
library(tern)
library(stringr)

adpp <- random.cdisc.data::cadpp
adpp <- adpp %>%
  filter(AVISIT == "CYCLE 1 DAY 1", str_detect(tolower(PARAM), regex("norm by dose", ignore_case = TRUE)))
```

```{r include = FALSE}
webr_code_labels <- c("setup")
```

{{< include ../../_utils/webr_no_include.qmd >}}

## Output

::::: panel-tabset
## Standard Table

```{r lyt}
# lyt creation
lyt <- basic_table() %>%
  split_cols_by(
    var = "ARMCD",
    split_fun = trim_levels_in_group("ARMCD"),
    split_label = "Treatment Arm"
  ) %>%
  split_rows_by(
    var = "PKPARAM",
    label_pos = "topleft",
    split_label = "PK Parameter"
  ) %>%
  tern::analyze_vars(
    vars = "AVAL",
    .stats = c("n", "mean_sd", "cv", "geom_mean", "geom_cv", "median", "range"),
    .formats = c(
      n = "xx.",
      mean_sd = format_sigfig(3, "xx (xx)"),
      cv = "xx.x",
      geom_mean = format_sigfig(3),
      geom_cv = "xx.x",
      median = format_sigfig(3),
      range = format_sigfig(3, "xx - xx")
    )
  )
```

#### Plasma Drug X

::: {.panel-tabset .nav-justified group="webr"}
## {{< fa regular file-lines sm fw >}} Preview

```{r variant1, test = list(result_v1 = "result")}
adpp0 <- adpp %>%
  filter(PPCAT == "Plasma Drug X") %>%
  h_pkparam_sort() %>%
  mutate(PKPARAM = factor(paste0(TLG_DISPLAY, " (", AVALU, ")"))) %>%
  mutate(PKPARAM = reorder(PKPARAM, TLG_ORDER))

result <- build_table(lyt, df = adpp0)
main_title(result) <- paste("Summary of Dose-Normalized PK Parameter by Treatment Arm, PK Population")
subtitles(result) <- paste("Analyte:", unique(adpp0$PPCAT), "\nVisit:", unique(adpp0$AVISIT))
result
```

```{r include = FALSE}
webr_code_labels <- c("lyt", "variant1")
```

{{< include ../../_utils/webr.qmd >}}
:::

#### Plasma Drug Y

::: {.panel-tabset .nav-justified group="webr"}
## {{< fa regular file-lines sm fw >}} Preview

```{r variant2, test = list(result_v2 = "result")}
adpp1 <- adpp %>%
  filter(PPCAT == "Plasma Drug Y") %>%
  h_pkparam_sort() %>%
  mutate(PKPARAM = factor(paste0(TLG_DISPLAY, " (", AVALU, ")"))) %>%
  mutate(PKPARAM = reorder(PKPARAM, TLG_ORDER))

result <- build_table(lyt, df = adpp1)
main_title(result) <- paste("Summary of Dose-Normalized PK Parameter by Treatment Arm, PK Population")
subtitles(result) <- paste("Analyte:", unique(adpp1$PPCAT), "\nVisit:", unique(adpp1$AVISIT))
result
```

```{r include = FALSE}
webr_code_labels <- c("lyt", "variant2")
```

{{< include ../../_utils/webr.qmd >}}
:::

## Data Setup

```{r setup}
#| code-fold: show
```
:::::

{{< include ../../_utils/save_results.qmd >}}

{{< include ../../repro.qmd >}}

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