MNG01
Mean Plot
Output
Experimental use!
R Code
plot <- g_lineplot(
df = adlb_f,
alt_counts_df = adsl_f,
subtitle = "Laboratory Test:"
)
plot
_webr_editor_2 = Object {code: "plot <- g_lineplot(\n df = adlb_f,\n alt_counts_df = adsl_f,\n subtitle = \"Laboratory Test:\"\n)\nplot", options: Object, indicator: Ke}
Experimental use!
R Code
plot <- g_lineplot(
df = advs_f,
alt_counts_df = adsl_f,
variables = control_lineplot_vars(y = "CHG"),
title = "Plot of Mean and 95% Confidence Intervals of Change from Baseline by Visit",
subtitle = "Assessment:"
)
plot
_webr_editor_3 = Object {code: "plot <- g_lineplot(\n df = advs_f,\n alt_counts_df…line by Visit\",\n subtitle = \"Assessment:\"\n)\nplot", options: Object, indicator: Ke}
Experimental use!
R Code
plot <- g_lineplot(
df = adlb_f,
alt_counts_df = adsl_f,
interval = "mean_sdi",
whiskers = c("mean_sdi_lwr", "mean_sdi_upr"),
title = "Plot of Mean (+/-SD)",
subtitle = "Laboratory Test:"
)
plot
_webr_editor_4 = Object {code: "plot <- g_lineplot(\n df = adlb_f,\n alt_counts_df… (+/-SD)\",\n subtitle = \"Laboratory Test:\"\n)\nplot", options: Object, indicator: Ke}
Experimental use!
R Code
plot <- g_lineplot(
df = adlb_f,
alt_counts_df = adsl_f,
control = control_analyze_vars(conf_level = 0.80),
title = "Plot of Mean and 80% Confidence Limits by Visit",
subtitle = "Laboratory Test:"
)
plot
_webr_editor_5 = Object {code: "plot <- g_lineplot(\n df = adlb_f,\n alt_counts_df…by Visit\",\n subtitle = \"Laboratory Test:\"\n)\nplot", options: Object, indicator: Ke}
Experimental use!
R Code
plot <- g_lineplot(
df = adlb_f,
alt_counts_df = adsl_f,
table = "n",
subtitle = "Laboratory Test:"
)
plot
_webr_editor_6 = Object {code: "plot <- g_lineplot(\n df = adlb_f,\n alt_counts_df…ble = \"n\",\n subtitle = \"Laboratory Test:\"\n)\nplot", options: Object, indicator: Ke}
Experimental use!
R Code
plot <- g_lineplot(
df = adlb_f,
alt_counts_df = adsl_f,
table = c("n", "mean", "mean_ci"),
subtitle = "Laboratory Test:"
)
plot
_webr_editor_7 = Object {code: "plot <- g_lineplot(\n df = adlb_f,\n alt_counts_df…mean_ci\"),\n subtitle = \"Laboratory Test:\"\n)\nplot", options: Object, indicator: Ke}
This option is not supported.
Experimental use!
R Code
plot <- g_lineplot(
df = adlb_f,
alt_counts_df = adsl_f,
whiskers = "mean_ci_upr",
subtitle = "Laboratory Test:"
)
plot
_webr_editor_8 = Object {code: "plot <- g_lineplot(\n df = adlb_f,\n alt_counts_df…n_ci_upr\",\n subtitle = \"Laboratory Test:\"\n)\nplot", options: Object, indicator: Ke}
Code
library(dplyr)
library(tern)
library(nestcolor)
adsl <- random.cdisc.data::cadsl
adlb <- random.cdisc.data::cadlb
advs <- random.cdisc.data::cadvs
adsl_f <- adsl %>%
filter(SAFFL == "Y") %>%
df_explicit_na()
adlb_f <- adlb %>%
mutate(AVISIT = forcats::fct_reorder(AVISIT, AVISITN, min)) %>%
dplyr::filter(
SAFFL == "Y",
ANL01FL == "Y",
ONTRTFL == "Y",
PARAMCD == "ALT",
AVISIT != "SCREENING"
) %>%
droplevels() %>%
df_explicit_na()
advs_f <- advs %>%
mutate(AVISIT = forcats::fct_reorder(AVISIT, AVISITN, min)) %>%
dplyr::filter(
SAFFL == "Y",
ONTRTFL == "Y",
PARAMCD == "DIABP",
AVISIT != "SCREENING"
) %>%
droplevels() %>%
df_explicit_na()
teal
App
Code
library(teal.modules.clinical)
## Data reproducible code
data <- teal_data()
data <- within(data, {
library(dplyr)
library(forcats)
ADSL <- random.cdisc.data::cadsl
ADLB <- random.cdisc.data::cadlb %>%
mutate(AVISIT = fct_reorder(AVISIT, AVISITN, min))
})
datanames <- c("ADSL", "ADLB")
datanames(data) <- datanames
Warning: `datanames<-()` was deprecated in teal.data 0.7.0.
ℹ invalid to use `datanames()<-` or `names()<-` on an object of class
`teal_data`. See ?names.teal_data
Code
join_keys(data) <- default_cdisc_join_keys[datanames]
## Reusable Configuration For Modules
ADSL <- data[["ADSL"]]
ADLB <- data[["ADLB"]]
## Setup App
app <- init(
data = data,
modules = modules(
tm_g_lineplot(
label = "LINE PLOT",
dataname = "ADLB",
strata = choices_selected(
variable_choices(ADSL, c("ARM", "ARMCD", "ACTARMCD")),
"ARM"
),
y = choices_selected(
variable_choices(ADLB, c("AVAL", "BASE", "CHG", "PCHG")),
"AVAL"
),
param = choices_selected(
value_choices(ADLB, "PARAMCD", "PARAM"),
"ALT"
)
)
)
)
Warning: The `strata` argument of `tm_g_lineplot()` is deprecated as of
teal.modules.clinical 0.9.1. Please use the `group_var` argument instead.
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.
Loading...
Reproducibility
Timestamp
[1] "2025-03-26 18:03:32 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 2025-03-26
pandoc 3.6.3 @ /usr/bin/ (via rmarkdown)
quarto 1.6.42 @ /usr/local/bin/quarto
─ Packages ───────────────────────────────────────────────────────────────────
package * version date (UTC) lib source
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brio 1.1.5 2024-04-24 [1] RSPM
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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
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cli 3.6.4 2025-02-13 [1] RSPM
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curl 6.2.2 2025-03-24 [1] RSPM
digest 0.6.37 2024-08-19 [1] RSPM
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estimability 1.5.1 2024-05-12 [1] RSPM
evaluate 1.0.3 2025-01-10 [1] RSPM
farver 2.1.2 2024-05-13 [1] RSPM
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forcats * 1.0.0 2023-01-29 [1] RSPM
formatR 1.14 2023-01-17 [1] CRAN (R 4.4.2)
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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
jquerylib 0.1.4 2021-04-26 [1] RSPM
jsonlite 1.9.1 2025-03-03 [1] RSPM
knitr 1.50 2025-03-16 [1] RSPM
labeling 0.4.3 2023-08-29 [1] RSPM
later 1.4.1 2024-11-27 [1] RSPM
lattice 0.22-6 2024-03-20 [2] CRAN (R 4.4.2)
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 7.3-65 2025-02-28 [2] CRAN (R 4.4.2)
Matrix 1.7-3 2025-03-11 [1] CRAN (R 4.4.2)
memoise 2.0.1 2021-11-26 [1] RSPM
mime 0.13 2025-03-17 [1] RSPM
multcomp 1.4-28 2025-01-29 [1] RSPM
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nestcolor * 0.1.3 2025-01-21 [1] RSPM
nlme 3.1-167 2025-01-27 [2] CRAN (R 4.4.2)
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
promises 1.3.2 2024-11-28 [1] RSPM
ps 1.9.0 2025-02-18 [1] RSPM
purrr 1.0.4 2025-02-05 [1] RSPM
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ragg 1.3.3 2024-09-11 [1] RSPM
random.cdisc.data 0.3.16 2024-10-10 [1] RSPM
rbibutils 2.3 2024-10-04 [1] RSPM
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scales 1.3.0 2023-11-28 [1] RSPM
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shinyjs 2.1.0 2021-12-23 [1] RSPM
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shinyWidgets 0.9.0 2025-02-21 [1] RSPM
stringi 1.8.4 2024-05-06 [1] RSPM
stringr 1.5.1 2023-11-14 [1] RSPM
survival 3.8-3 2024-12-17 [2] CRAN (R 4.4.2)
systemfonts 1.2.1 2025-01-20 [1] RSPM
teal * 0.16.0 2025-02-23 [1] RSPM
teal.code * 0.6.1 2025-02-14 [1] RSPM
teal.data * 0.7.0 2025-01-28 [1] RSPM
teal.logger 0.3.2 2025-02-14 [1] RSPM
teal.modules.clinical * 0.10.0 2025-02-28 [1] RSPM
teal.reporter 0.4.0 2025-01-24 [1] RSPM
teal.slice * 0.6.0 2025-02-03 [1] RSPM
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teal.widgets 0.4.3 2025-01-31 [1] RSPM
tern * 0.9.7 2025-01-17 [1] RSPM
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zoo 1.8-13 2025-02-22 [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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