EXT01

Study Drug Exposure Table

Output

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Code

# When summary table contains only categorical or only numeric parameters

split_fun <- drop_split_levels

lyt <- basic_table(show_colcounts = TRUE) %>%
  split_cols_by("ACTARM") %>%
  split_rows_by("PARCAT2", split_label = "\nParameter Category (Drug A/Drug B)", label_pos = "topleft") %>%
  split_rows_by("PARAM", split_fun = split_fun) %>%
  analyze_vars(vars = "AVAL")

result <- build_table(lyt = lyt, df = adex, alt_counts_df = adsl)

result

                                                 A: Drug X        B: Placebo      C: Combination 
Parameter Category (Drug A/Drug B)                (N=134)           (N=134)           (N=132)    
—————————————————————————————————————————————————————————————————————————————————————————————————
Drug A                                                                                           
  Overall duration (days)                                                                        
    n                                               75                67                75       
    Mean (SD)                                   74.3 (41.6)       79.0 (43.1)       74.2 (39.5)  
    Median                                         77.0              80.0              78.0      
    Min - Max                                   5.0 - 149.0       2.0 - 150.0       1.0 - 147.0  
  Total dose administered                                                                        
    n                                               75                67                75       
    Mean (SD)                                 6675.2 (1110.9)   6505.1 (1249.3)   6982.4 (1272.5)
    Median                                        6720.0            6480.0            7200.0     
    Min - Max                                 4800.0 - 9360.0   4080.0 - 9360.0   4320.0 - 9360.0
  Total number of doses administered                                                             
    n                                               75                67                75       
    Mean (SD)                                    7.0 (0.0)         7.0 (0.0)         7.0 (0.0)   
    Median                                          7.0               7.0               7.0      
    Min - Max                                    7.0 - 7.0         7.0 - 7.0         7.0 - 7.0   
  Total number of missed doses during study                                                      
    n                                               75                67                75       
    Mean (SD)                                   10.5 (5.9)        10.0 (6.1)         9.5 (5.5)   
    Median                                         10.0              11.0               9.0      
    Min - Max                                   0.0 - 20.0        0.0 - 19.0        0.0 - 20.0   
Drug B                                                                                           
  Overall duration (days)                                                                        
    n                                               59                67                57       
    Mean (SD)                                   77.5 (40.5)       76.3 (41.0)       69.5 (46.2)  
    Median                                         79.0              76.0              65.0      
    Min - Max                                   2.0 - 149.0       5.0 - 148.0       1.0 - 149.0  
  Total dose administered                                                                        
    n                                               59                67                57       
    Mean (SD)                                 6630.5 (1334.0)   6297.3 (1291.1)   6505.3 (1080.7)
    Median                                        6720.0            6240.0            6480.0     
    Min - Max                                 4320.0 - 8880.0   4080.0 - 9120.0   4320.0 - 8640.0
  Total number of doses administered                                                             
    n                                               59                67                57       
    Mean (SD)                                    7.0 (0.0)         7.0 (0.0)         7.0 (0.0)   
    Median                                          7.0               7.0               7.0      
    Min - Max                                    7.0 - 7.0         7.0 - 7.0         7.0 - 7.0   
  Total number of missed doses during study                                                      
    n                                               59                67                57       
    Mean (SD)                                    9.1 (6.5)        10.0 (6.3)        10.7 (5.8)   
    Median                                          9.0              10.0              11.0      
    Min - Max                                   0.0 - 20.0        0.0 - 20.0        1.0 - 20.0

Experimental use!

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Code

# When summary table contains both categorical and numeric parameters,
# developer needs to do pre-processing to transform dataset to wide format.
adex_avalc_wide <- adex %>%
  filter(PARAMCD == "TDURD") %>%
  select(STUDYID, USUBJID, PARAMCD, AVALC, PARCAT2) %>%
  tidyr::pivot_wider(
    id_cols = c(STUDYID, USUBJID, PARCAT2),
    names_from = PARAMCD,
    values_from = AVALC
  ) %>%
  mutate(
    TDURDC = factor(TDURD, levels = c("0 - 30", "31 - 60", "61 - 90", ">= 91"))
  ) %>%
  select(-TDURD)

anl <- adex %>%
  select(STUDYID, USUBJID, ACTARM, PARAMCD, AVAL, PARCAT2) %>%
  tidyr::pivot_wider(
    id_cols = c(STUDYID, USUBJID, ACTARM, PARCAT2),
    names_from = PARAMCD,
    values_from = AVAL
  ) %>%
  left_join(adex_avalc_wide, by = c("STUDYID", "USUBJID", "PARCAT2")) %>%
  var_relabel(
    TDOSE = "Total dose administered",
    TNDOSE = "Total number of doses administered",
    TDURD = "Overall duration (days)",
    TNDOSMIS = "Total number of missed doses during study",
    TDURDC = "Overall duration (days)"
  )

lyt <- basic_table(show_colcounts = TRUE) %>%
  split_cols_by("ACTARM") %>%
  split_rows_by("PARCAT2", split_label = "\nParameter Category (Drug A/Drug B)", label_pos = "topleft") %>%
  analyze_vars(
    vars = c("TDURD", "TDURDC", "TDOSE", "TNDOSE"),
    var_labels = var_labels(anl)[c("TDURD", "TDURDC", "TDOSE", "TNDOSE")]
  )

result <- build_table(lyt = lyt, df = anl, alt_counts_df = adsl)

result

                                          A: Drug X        B: Placebo      C: Combination 
Parameter Category (Drug A/Drug B)         (N=134)           (N=134)           (N=132)    
——————————————————————————————————————————————————————————————————————————————————————————
Drug A                                                                                    
  Overall duration (days)                                                                 
    n                                        75                67                75       
    Mean (SD)                            74.3 (41.6)       79.0 (43.1)       74.2 (39.5)  
    Median                                  77.0              80.0              78.0      
    Min - Max                            5.0 - 149.0       2.0 - 150.0       1.0 - 147.0  
  Overall duration (days)                                                                 
    n                                        75                67                75       
    0 - 30                                12 (16%)         12 (17.9%)         15 (20%)    
    31 - 60                               18 (24%)         12 (17.9%)        14 (18.7%)   
    61 - 90                              19 (25.3%)        15 (22.4%)         18 (24%)    
    >= 91                                26 (34.7%)        28 (41.8%)        28 (37.3%)   
  Total dose administered                                                                 
    n                                        75                67                75       
    Mean (SD)                          6675.2 (1110.9)   6505.1 (1249.3)   6982.4 (1272.5)
    Median                                 6720.0            6480.0            7200.0     
    Min - Max                          4800.0 - 9360.0   4080.0 - 9360.0   4320.0 - 9360.0
  Total number of doses administered                                                      
    n                                        75                67                75       
    Mean (SD)                             7.0 (0.0)         7.0 (0.0)         7.0 (0.0)   
    Median                                   7.0               7.0               7.0      
    Min - Max                             7.0 - 7.0         7.0 - 7.0         7.0 - 7.0   
Drug B                                                                                    
  Overall duration (days)                                                                 
    n                                        59                67                57       
    Mean (SD)                            77.5 (40.5)       76.3 (41.0)       69.5 (46.2)  
    Median                                  79.0              76.0              65.0      
    Min - Max                            2.0 - 149.0       5.0 - 148.0       1.0 - 149.0  
  Overall duration (days)                                                                 
    n                                        59                67                57       
    0 - 30                                8 (13.6%)        10 (14.9%)        16 (28.1%)   
    31 - 60                              14 (23.7%)        16 (23.9%)        12 (21.1%)   
    61 - 90                              15 (25.4%)        17 (25.4%)        11 (19.3%)   
    >= 91                                22 (37.3%)        24 (35.8%)        18 (31.6%)   
  Total dose administered                                                                 
    n                                        59                67                57       
    Mean (SD)                          6630.5 (1334.0)   6297.3 (1291.1)   6505.3 (1080.7)
    Median                                 6720.0            6240.0            6480.0     
    Min - Max                          4320.0 - 8880.0   4080.0 - 9120.0   4320.0 - 8640.0
  Total number of doses administered                                                      
    n                                        59                67                57       
    Mean (SD)                             7.0 (0.0)         7.0 (0.0)         7.0 (0.0)   
    Median                                   7.0               7.0               7.0      
    Min - Max                             7.0 - 7.0         7.0 - 7.0         7.0 - 7.0

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.

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Code

# When summary table contains both categorical and numeric parameters,
# developer needs to do pre-processing to transform dataset to wide format.
adex_avalc_wide <- adex %>%
  filter(PARAMCD == "TDURD") %>%
  select(STUDYID, USUBJID, PARAMCD, AVALC, PARCAT2) %>%
  tidyr::pivot_wider(
    id_cols = c(STUDYID, USUBJID, PARCAT2),
    names_from = PARAMCD,
    values_from = AVALC
  ) %>%
  mutate(
    TDURDC = factor(TDURD, levels = c("0 - 30", "31 - 60", "61 - 90", ">= 91"))
  ) %>%
  select(-TDURD)

anl <- adex %>%
  select(STUDYID, USUBJID, ACTARM, PARAMCD, AVAL, PARCAT2) %>%
  tidyr::pivot_wider(
    id_cols = c(STUDYID, USUBJID, ACTARM, PARCAT2),
    names_from = PARAMCD,
    values_from = AVAL
  ) %>%
  left_join(adex_avalc_wide, by = c("STUDYID", "USUBJID", "PARCAT2")) %>%
  var_relabel(
    TDOSE = "Total dose administered",
    TNDOSE = "Total number of doses administered",
    TDURD = "Overall duration (days)",
    TNDOSMIS = "Total number of missed doses during study",
    TDURDC = "Overall duration (days)"
  )

lyt <- basic_table(show_colcounts = TRUE) %>%
  split_cols_by("ACTARM") %>%
  split_rows_by("PARCAT2", split_label = "\nParameter Category (Drug A/Drug B)", label_pos = "topleft") %>%
  analyze_vars(
    vars = c("TDURD", "TDURDC", "TDOSE", "TNDOSE"),
    var_labels = var_labels(anl)[c("TDURD", "TDURDC", "TDOSE", "TNDOSE")]
  ) %>%
  count_missed_doses(
    "TNDOSMIS",
    thresholds = c(1, 5, 10, 15),
    var_labels = "Missed Doses"
  )

result <- build_table(lyt = lyt, df = anl, alt_counts_df = adsl)

result

                                          A: Drug X        B: Placebo      C: Combination 
Parameter Category (Drug A/Drug B)         (N=134)           (N=134)           (N=132)    
——————————————————————————————————————————————————————————————————————————————————————————
Drug A                                                                                    
  Overall duration (days)                                                                 
    n                                        75                67                75       
    Mean (SD)                            74.3 (41.6)       79.0 (43.1)       74.2 (39.5)  
    Median                                  77.0              80.0              78.0      
    Min - Max                            5.0 - 149.0       2.0 - 150.0       1.0 - 147.0  
  Overall duration (days)                                                                 
    n                                        75                67                75       
    0 - 30                                12 (16%)         12 (17.9%)         15 (20%)    
    31 - 60                               18 (24%)         12 (17.9%)        14 (18.7%)   
    61 - 90                              19 (25.3%)        15 (22.4%)         18 (24%)    
    >= 91                                26 (34.7%)        28 (41.8%)        28 (37.3%)   
  Total dose administered                                                                 
    n                                        75                67                75       
    Mean (SD)                          6675.2 (1110.9)   6505.1 (1249.3)   6982.4 (1272.5)
    Median                                 6720.0            6480.0            7200.0     
    Min - Max                          4800.0 - 9360.0   4080.0 - 9360.0   4320.0 - 9360.0
  Total number of doses administered                                                      
    n                                        75                67                75       
    Mean (SD)                             7.0 (0.0)         7.0 (0.0)         7.0 (0.0)   
    Median                                   7.0               7.0               7.0      
    Min - Max                             7.0 - 7.0         7.0 - 7.0         7.0 - 7.0   
  Missed Doses                                                                            
    n                                        75                67                75       
    At least 1 missed dose               74 (55.2%)         63 (47%)         73 (55.3%)   
    At least 5 missed doses               59 (44%)         49 (36.6%)        59 (44.7%)   
    At least 10 missed doses             41 (30.6%)        38 (28.4%)         37 (28%)    
    At least 15 missed doses             26 (19.4%)        21 (15.7%)        16 (12.1%)   
Drug B                                                                                    
  Overall duration (days)                                                                 
    n                                        59                67                57       
    Mean (SD)                            77.5 (40.5)       76.3 (41.0)       69.5 (46.2)  
    Median                                  79.0              76.0              65.0      
    Min - Max                            2.0 - 149.0       5.0 - 148.0       1.0 - 149.0  
  Overall duration (days)                                                                 
    n                                        59                67                57       
    0 - 30                                8 (13.6%)        10 (14.9%)        16 (28.1%)   
    31 - 60                              14 (23.7%)        16 (23.9%)        12 (21.1%)   
    61 - 90                              15 (25.4%)        17 (25.4%)        11 (19.3%)   
    >= 91                                22 (37.3%)        24 (35.8%)        18 (31.6%)   
  Total dose administered                                                                 
    n                                        59                67                57       
    Mean (SD)                          6630.5 (1334.0)   6297.3 (1291.1)   6505.3 (1080.7)
    Median                                 6720.0            6240.0            6480.0     
    Min - Max                          4320.0 - 8880.0   4080.0 - 9120.0   4320.0 - 8640.0
  Total number of doses administered                                                      
    n                                        59                67                57       
    Mean (SD)                             7.0 (0.0)         7.0 (0.0)         7.0 (0.0)   
    Median                                   7.0               7.0               7.0      
    Min - Max                             7.0 - 7.0         7.0 - 7.0         7.0 - 7.0   
  Missed Doses                                                                            
    n                                        59                67                57       
    At least 1 missed dose               56 (41.8%)         63 (47%)         57 (43.2%)   
    At least 5 missed doses              41 (30.6%)        50 (37.3%)        47 (35.6%)   
    At least 10 missed doses             27 (20.1%)        36 (26.9%)        31 (23.5%)   
    At least 15 missed doses             17 (12.7%)        18 (13.4%)        20 (15.2%)

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(tern)
library(dplyr)
library(tidyr)

adsl <- random.cdisc.data::cadsl
adex <- random.cdisc.data::cadex

# Ensure character variables are converted to factors and empty strings and NAs are explicit missing levels.
adsl <- df_explicit_na(adsl)
adex <- df_explicit_na(adex)

adex <- adex %>%
  filter(PARCAT1 == "OVERALL") %>%
  select(STUDYID, USUBJID, ACTARM, PARAMCD, PARAM, AVAL, PARCAT2) %>%
  mutate(
    PARAMCD = as.character(PARAMCD),
    AVALC = ""
  ) %>%
  droplevels()

# Add new param tdurd for treatment duration.
set.seed(99)
tdurd_adsl <- adsl %>%
  select(STUDYID, USUBJID, ACTARM) %>%
  mutate(
    PARAMCD = "TDURD",
    PARAM = "Overall duration (days)",
    AVAL = sample(1:150, size = nrow(adsl), replace = TRUE),
    AVALC = case_when(
      0 <= AVAL & AVAL <= 30 ~ "0 - 30",
      31 <= AVAL & AVAL <= 60 ~ "31 - 60",
      61 <= AVAL & AVAL <= 90 ~ "61 - 90",
      TRUE ~ ">= 91"
    )
  )
tdurd <- adex %>%
  filter(PARAMCD == "TNDOSE") %>%
  select(STUDYID, USUBJID, PARCAT2) %>%
  left_join(tdurd_adsl, by = c("STUDYID", "USUBJID"))

# Add new param tndosmis for missed doses.
tndosmis_adsl <- adsl %>%
  select(STUDYID, USUBJID, ACTARM) %>%
  mutate(
    PARAMCD = "TNDOSMIS",
    PARAM = "Total number of missed doses during study",
    AVAL = sample(0:20, size = nrow(adsl), replace = TRUE),
    AVALC = ""
  )
tndosmis <- adex %>%
  filter(PARAMCD == "TNDOSE") %>%
  select(STUDYID, USUBJID, PARCAT2) %>%
  left_join(tndosmis_adsl, by = c("STUDYID", "USUBJID"))

adex <- dplyr::bind_rows(adex, tdurd, tndosmis) %>%
  mutate(PARAM = factor(
    PARAM,
    levels = c(
      "Overall duration (days)", "Total dose administered", "Total number of doses administered",
      "Total number of missed doses during study"
    )
  ))

Code

library(teal.modules.clinical)

## Data reproducible code
data <- teal_data()
data <- within(data, {
  library(dplyr)

  ADSL <- random.cdisc.data::cadsl
  ADEX <- random.cdisc.data::cadex
  adex_labels <- unname(col_labels(ADEX))
  ADEX <- ADEX %>%
    filter(PARCAT1 == "OVERALL") %>%
    mutate(
      AVALCAT1 = case_when(
        PARAMCD == "TDOSE" & AVAL < 5000 ~ "LOW",
        PARAMCD == "TDOSE" & AVAL >= 5000 ~ "HIGH",
        PARAMCD == "TNDOSE" & AVAL < 10 ~ "< 10",
        PARAMCD == "TNDOSE" & AVAL >= 10 ~ ">= 10"
      )
    )
  col_labels(ADEX) <- c(adex_labels, "")
})
datanames <- c("ADSL", "ADEX")
datanames(data) <- datanames
join_keys(data) <- default_cdisc_join_keys[datanames]

## Reusable Configuration For Modules
ADEX <- data[["ADEX"]]

## Setup App
app <- init(
  data = data,
  modules = modules(
    tm_t_summary_by(
      label = "Exposure Table",
      dataname = "ADEX",
      arm_var = choices_selected(
        choices = variable_choices(ADEX, c("ARM", "ARMCD")),
        selected = "ARM"
      ),
      by_vars = choices_selected(
        choices = variable_choices(ADEX, c("PARCAT2", "PARAM")),
        selected = c("PARCAT2", "PARAM")
      ),
      summarize_vars = choices_selected(
        choices = variable_choices(ADEX, c("AVAL", "AVALCAT1")),
        selected = c("AVAL", "AVALCAT1")
      ),
      paramcd = choices_selected(
        choices = value_choices(ADEX, "PARAMCD", "PARAM"),
        selected = c("TDOSE", "TNDOSE")
      ),
      denominator = choices_selected(
        choices = c("n", "N", "omit"),
        selected = "N"
      )
    )
  ), # Set initial filter state as single study drug to produce smaller table
  filter = teal_slices(
    teal_slice("ADEX", "PARCAT2", selected = "Drug A"),
    teal_slice("ADEX", "AVAL", selected = NULL)
  )
)

shinyApp(app$ui, app$server)

Warning: The 'plotly_relayout' event tied a source ID of
'teal-main_ui-filter_panel-active-ADEX-filter-ADEX_AVAL-inputs-histogram_plot'
is not registered. In order to obtain this event data, please add
`event_register(p, 'plotly_relayout')` to the plot (`p`) that you wish to
obtain event data from.

Experimental use!

shinylive allow you to modify to run shiny application entirely in the web browser. Modify the code below and click re-run the app to see the results. The performance is slighly worse and some of the features (e.g. downloading) might not work at all.

#| '!! shinylive warning !!': |
#|   shinylive does not work in self-contained HTML documents.
#|   Please set `embed-resources: false` in your metadata.
#| standalone: true
#| viewerHeight: 800
#| editorHeight: 200
#| components: [viewer, editor]
#| layout: vertical

# -- WEBR HELPERS --
options(webr_pkg_repos = c("r-universe" = "https://insightsengineering.r-universe.dev", getOption("webr_pkg_repos")))

# -- APP CODE --
library(teal.modules.clinical)

## Data reproducible code
data <- teal_data()
data <- within(data, {
  library(dplyr)

  ADSL <- random.cdisc.data::cadsl
  ADEX <- random.cdisc.data::cadex
  adex_labels <- unname(col_labels(ADEX))
  ADEX <- ADEX %>%
    filter(PARCAT1 == "OVERALL") %>%
    mutate(
      AVALCAT1 = case_when(
        PARAMCD == "TDOSE" & AVAL < 5000 ~ "LOW",
        PARAMCD == "TDOSE" & AVAL >= 5000 ~ "HIGH",
        PARAMCD == "TNDOSE" & AVAL < 10 ~ "< 10",
        PARAMCD == "TNDOSE" & AVAL >= 10 ~ ">= 10"
      )
    )
  col_labels(ADEX) <- c(adex_labels, "")
})
datanames <- c("ADSL", "ADEX")
datanames(data) <- datanames
join_keys(data) <- default_cdisc_join_keys[datanames]

## Reusable Configuration For Modules
ADEX <- data[["ADEX"]]

## Setup App
app <- init(
  data = data,
  modules = modules(
    tm_t_summary_by(
      label = "Exposure Table",
      dataname = "ADEX",
      arm_var = choices_selected(
        choices = variable_choices(ADEX, c("ARM", "ARMCD")),
        selected = "ARM"
      ),
      by_vars = choices_selected(
        choices = variable_choices(ADEX, c("PARCAT2", "PARAM")),
        selected = c("PARCAT2", "PARAM")
      ),
      summarize_vars = choices_selected(
        choices = variable_choices(ADEX, c("AVAL", "AVALCAT1")),
        selected = c("AVAL", "AVALCAT1")
      ),
      paramcd = choices_selected(
        choices = value_choices(ADEX, "PARAMCD", "PARAM"),
        selected = c("TDOSE", "TNDOSE")
      ),
      denominator = choices_selected(
        choices = c("n", "N", "omit"),
        selected = "N"
      )
    )
  ), # Set initial filter state as single study drug to produce smaller table
  filter = teal_slices(
    teal_slice("ADEX", "PARCAT2", selected = "Drug A"),
    teal_slice("ADEX", "AVAL", selected = NULL)
  )
)

shinyApp(app$ui, app$server)

Reproducibility

Timestamp

[1] "2024-11-20 09:46:51 UTC"

Session Info

─ Session info ───────────────────────────────────────────────────────────────
 setting  value
 version  R version 4.4.1 (2024-06-14)
 os       Ubuntu 22.04.5 LTS
 system   x86_64, linux-gnu
 ui       X11
 language (EN)
 collate  en_US.UTF-8
 ctype    en_US.UTF-8
 tz       Etc/UTC
 date     2024-11-20
 pandoc   3.4 @ /usr/bin/ (via rmarkdown)

─ 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                   1.0.7    2024-09-26 [1] RSPM
 bslib                   0.8.0    2024-07-29 [1] RSPM
 cachem                  1.1.0    2024-05-16 [1] RSPM
 callr                   3.7.6    2024-03-25 [1] RSPM
 checkmate               2.3.2    2024-07-29 [1] RSPM
 chromote                0.3.1    2024-08-30 [1] RSPM
 cli                     3.6.3    2024-06-21 [1] RSPM
 coda                    0.19-4.1 2024-01-31 [1] CRAN (R 4.4.1)
 codetools               0.2-20   2024-03-31 [2] CRAN (R 4.4.1)
 colorspace              2.1-1    2024-07-26 [1] RSPM
 curl                    6.0.1    2024-11-14 [1] RSPM
 data.table              1.16.2   2024-10-10 [1] RSPM
 digest                  0.6.37   2024-08-19 [1] RSPM
 dplyr                 * 1.1.4    2023-11-17 [1] RSPM
 emmeans                 1.10.5   2024-10-14 [1] RSPM
 estimability            1.5.1    2024-05-12 [1] RSPM
 evaluate                1.0.1    2024-10-10 [1] RSPM
 fansi                   1.0.6    2023-12-08 [1] RSPM
 fastmap                 1.2.0    2024-05-15 [1] RSPM
 fontawesome             0.5.3    2024-11-16 [1] RSPM
 forcats                 1.0.0    2023-01-29 [1] RSPM
 formatR                 1.14     2023-01-17 [1] CRAN (R 4.4.1)
 formatters            * 0.5.9    2024-09-12 [1] RSPM
 geepack                 1.3.12   2024-09-23 [1] RSPM
 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
 httpuv                  1.6.15   2024-03-26 [1] RSPM
 httr                    1.4.7    2023-08-15 [1] RSPM
 jquerylib               0.1.4    2021-04-26 [1] RSPM
 jsonlite                1.8.9    2024-09-20 [1] RSPM
 knitr                   1.49     2024-11-08 [1] RSPM
 later                   1.3.2    2023-12-06 [1] RSPM
 lattice                 0.22-6   2024-03-20 [2] CRAN (R 4.4.1)
 lazyeval                0.2.2    2019-03-15 [1] RSPM
 lifecycle               1.0.4    2023-11-07 [1] RSPM
 logger                  0.4.0    2024-10-22 [1] RSPM
 magrittr              * 2.0.3    2022-03-30 [1] RSPM
 MASS                    7.3-61   2024-06-13 [2] CRAN (R 4.4.1)
 Matrix                  1.7-1    2024-10-18 [1] RSPM
 memoise                 2.0.1    2021-11-26 [1] RSPM
 mime                    0.12     2021-09-28 [1] RSPM
 multcomp                1.4-26   2024-07-18 [1] CRAN (R 4.4.1)
 munsell                 0.5.1    2024-04-01 [1] RSPM
 mvtnorm                 1.3-2    2024-11-04 [1] RSPM
 nlme                    3.1-166  2024-08-14 [2] CRAN (R 4.4.1)
 pillar                  1.9.0    2023-03-22 [1] RSPM
 pkgcache                2.2.3    2024-09-12 [1] RSPM
 pkgconfig               2.0.3    2019-09-22 [1] RSPM
 plotly                  4.10.4   2024-01-13 [1] RSPM
 processx                3.8.4    2024-03-16 [1] RSPM
 promises                1.3.0    2024-04-05 [1] RSPM
 ps                      1.8.1    2024-10-28 [1] RSPM
 purrr                   1.0.2    2023-08-10 [1] RSPM
 R6                      2.5.1    2021-08-19 [1] RSPM
 random.cdisc.data       0.3.16   2024-10-10 [1] RSPM
 rbibutils               2.3      2024-10-04 [1] RSPM
 Rcpp                    1.0.13-1 2024-11-02 [1] RSPM
 Rdpack                  2.6.2    2024-11-15 [1] RSPM
 rlang                   1.1.4    2024-06-04 [1] RSPM
 rmarkdown               2.29     2024-11-04 [1] RSPM
 rtables               * 0.6.10   2024-09-20 [1] RSPM
 sandwich                3.1-1    2024-09-15 [1] CRAN (R 4.4.1)
 sass                    0.4.9    2024-03-15 [1] RSPM
 scales                  1.3.0    2023-11-28 [1] RSPM
 sessioninfo             1.2.2    2021-12-06 [1] any (@1.2.2)
 shiny                 * 1.9.1    2024-08-01 [1] RSPM
 shinycssloaders         1.1.0    2024-07-30 [1] RSPM
 shinyjs                 2.1.0    2021-12-23 [1] RSPM
 shinyvalidate           0.1.3    2023-10-04 [1] RSPM
 shinyWidgets            0.8.7    2024-09-23 [1] RSPM
 stringi                 1.8.4    2024-05-06 [1] RSPM
 stringr                 1.5.1    2023-11-14 [1] RSPM
 survival                3.7-0    2024-06-05 [2] CRAN (R 4.4.1)
 teal                  * 0.15.2   2024-03-07 [1] RSPM
 teal.code             * 0.5.0    2024-01-11 [1] RSPM
 teal.data             * 0.6.0    2024-04-30 [1] RSPM
 teal.logger             0.3.0    2024-10-24 [1] RSPM
 teal.modules.clinical * 0.9.1    2024-04-27 [1] RSPM
 teal.reporter           0.3.1    2024-03-15 [1] RSPM
 teal.slice            * 0.5.1    2024-04-30 [1] RSPM
 teal.transform        * 0.5.0    2024-02-17 [1] RSPM
 teal.widgets            0.4.2    2023-12-14 [1] RSPM
 tern                  * 0.9.6    2024-09-24 [1] RSPM
 tern.gee                0.1.5    2024-08-23 [1] RSPM
 testthat                3.2.1.1  2024-04-14 [1] RSPM
 TH.data                 1.1-2    2023-04-17 [1] CRAN (R 4.4.1)
 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
 utf8                    1.2.4    2023-10-22 [1] RSPM
 vctrs                   0.6.5    2023-12-01 [1] RSPM
 viridisLite             0.4.2    2023-05-02 [1] RSPM
 webshot                 0.5.5    2023-06-26 [1] CRAN (R 4.4.1)
 webshot2                0.1.1    2023-08-11 [1] RSPM
 websocket               1.4.2    2024-07-22 [1] RSPM
 withr                   3.0.2    2024-10-28 [1] RSPM
 xfun                    0.49     2024-10-31 [1] RSPM
 xtable                  1.8-4    2019-04-21 [1] RSPM
 yaml                    2.3.10   2024-07-26 [1] RSPM
 zoo                     1.8-12   2023-04-13 [1] CRAN (R 4.4.1)

 [1] /usr/local/lib/R/site-library
 [2] /usr/local/lib/R/library

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

`.lock` file

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

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Output

teal App

Reproducibility

Timestamp

Session Info

.lock file

`teal` App

`.lock` file