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
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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.

R Code

Start Over

Run 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")

)

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

_webr_editor_2 = Object {code: "# lyt creation\nlyt <- basic_table() %>%\n split_co…$PPCAT), \"\\nVisit:\", unique(adpp0$AVISIT))\nresult", options: Object, indicator: Ke}

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.

R Code

Start Over

Run 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")

)

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

_webr_editor_3 = Object {code: "# lyt creation\nlyt <- basic_table() %>%\n split_co…$PPCAT), \"\\nVisit:\", unique(adpp1$AVISIT))\nresult", options: Object, indicator: Ke}

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] "2025-04-02 17:42:12 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     2025-04-02
 pandoc   3.6.3 @ /usr/bin/ (via rmarkdown)
 quarto   1.6.42 @ /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
 fastmap             1.2.0       2024-05-15 [1] RSPM
 formatters        * 0.5.10.9004 2025-04-02 [1] https://p~
 generics            0.1.3       2022-07-05 [1] RSPM
 ggplot2             3.5.1       2024-04-23 [1] RSPM
 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 [1] 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  2025-04-02 [1] https://p~
 pillar              1.10.1      2025-01-07 [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 2025-04-02 [1] https://p~
 rbibutils           2.3         2024-10-04 [1] RSPM
 Rdpack              2.6.3       2025-03-16 [1] RSPM
 rlang               1.1.5       2025-01-17 [1] RSPM
 rmarkdown           2.29        2024-11-04 [1] RSPM
 rtables           * 0.6.11.9016 2025-04-02 [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              * 0.9.7.9017  2025-04-02 [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
 xfun                0.51        2025-02-19 [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

Plasma Drug X

Plasma Drug Y

Reproducibility

Timestamp

Session Info

.lock file

`.lock` file