From da34ffdae60628c93b45397a91604f776022c69b Mon Sep 17 00:00:00 2001 From: ayogasekaram Date: Fri, 26 Apr 2024 17:32:40 +0000 Subject: [PATCH 1/8] cardx readme update init commit --- README.md | 68 ++++++++++++++++-- man/figures/README-ard-gtsummary-workflow.png | Bin 0 -> 243744 bytes man/figures/README-t_test_print_simple.png | Bin 0 -> 22537 bytes 3 files changed, 62 insertions(+), 6 deletions(-) create mode 100755 man/figures/README-ard-gtsummary-workflow.png create mode 100755 man/figures/README-t_test_print_simple.png diff --git a/README.md b/README.md index da63291d0..01863b7fe 100644 --- a/README.md +++ b/README.md @@ -1,19 +1,75 @@ -# cardx cardx website +--- +editor_options: + markdown: + wrap: 72 +--- + +# cardx cardx website + [![R-CMD-check](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml) -[![Codecov test coverage](https://codecov.io/gh/insightsengineering/cardx/branch/main/graph/badge.svg)](https://app.codecov.io/gh/insightsengineering/cardx?branch=main) -[![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) - +[![Codecov test +coverage](https://codecov.io/gh/insightsengineering/cardx/branch/main/graph/badge.svg)](https://app.codecov.io/gh/insightsengineering/cardx?branch=main) +[![Lifecycle: +experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) + This is the source repository of the `cardx` R package. +The {cardx} package is an extension of the {cards} package, providing +additional functions to create Analysis Results Data Objects (ARDs) +using the **R** programming language. The {cardx} package exports ARD +functions that uses utility functions from {cards} and statistical +functions from additional packages (such as {stats}, {aod}, {car}, +{survey}, etc.) to construct summary objects. + +Summary objects can be used to: + +- [**Generate Tables and visualizations for Regulatory Submission**] + easily in **R**. Perfect for presenting descriptive statistics, + statistical analyses, regressions, etc. and more. + +- [**Conduct Quality Control checks on existing Tables** ] in R. + Storing both the results and test parameters supports the re-use and + verification of data analyses. + +In the future, components of the {cards} package will be integrated +seamlessly with the {gtsummary} package for table creation. ARDs will be +a byproduct of {gtsummary} tables and ARDs will be acceptable input for +{gtsummary} functions as detailed in the image below: + + + ## Installation -The latest development version of `{cardx}` can directly be installed from GitHub by running the following: +The latest development version of `{cardx}` can directly be installed +from GitHub by running the following: -```r +``` r if (!require("pak")) install.packages("pak") pak::pak("insightsengineering/cardx") ``` + +## Examples + +### Summary Table + +Use +[`tbl_summary()`](https://www.danieldsjoberg.com/gtsummary/reference/tbl_summary.html) +to summarize a data frame. + +Example ttest: + +``` r +library(cardx) + +# summarize the data with our package +cards::ADSL |> + # keep two treatment arms for the t-test calculation + dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> + cardx::ard_stats_t_test(by = ARM, variable = AGE) +``` + + diff --git a/man/figures/README-ard-gtsummary-workflow.png 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zs#<8ZKjERVq|E5;X$^*NWoZ=pbN#kMg{B`(lBV;po#O0|629vO?m(=xMDpdzOR{yD z1LY!wPn%z#)om_^Qh5kl3!V<#eNW7cK4yb0oZ##6n_1yWk-MNn`yn3ClFDG1X^NmM z0JuF`glmjfau{0<0V` AUjP6A literal 0 HcmV?d00001 From a3f29c3e4b208b1fcc837051bdc7c801ad2e968b Mon Sep 17 00:00:00 2001 From: ayogasekaram Date: Fri, 26 Apr 2024 18:26:15 +0000 Subject: [PATCH 2/8] more info and update wordlist --- README.md | 23 +++++++++++++++++++++++ inst/WORDLIST | 4 ++++ man/figures/README-model-input.png | Bin 0 -> 12821 bytes 3 files changed, 27 insertions(+) create mode 100755 man/figures/README-model-input.png diff --git a/README.md b/README.md index 01863b7fe..e4f4fb8a1 100644 --- a/README.md +++ b/README.md @@ -73,3 +73,26 @@ cards::ADSL |> ``` + +Note that the returned ARD contains the analysis results in addition to +the function parameters used to calculate the results allowing for +reproducible future analyses and further customization. + +### Model Input + +Some {cardx} functions accept regression model objects as input: + +``` r +lm(AGE ~ ARM, data = cards::ADSL) |> + ard_aod_wald_test() +``` + + + +## Additional Resources + +- The best resources are the help documents accompanying each {cardx} + function. +- Supporting documentation for both companion packages {cards} and + {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} + will be useful for understanding the ARD workflow and capabilities. diff --git a/inst/WORDLIST b/inst/WORDLIST index 4b9ae88ff..1d7d35492 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -1,4 +1,5 @@ ARD +ARDs Biopharmaceutical CMD Chisq @@ -18,17 +19,20 @@ XG Xin agresti anova +aod cli clopper coull de deff funder +gtsummary jeffreys pearson pre sd strat +ttest vif wald waldcc diff --git a/man/figures/README-model-input.png b/man/figures/README-model-input.png new file mode 100755 index 0000000000000000000000000000000000000000..1d31630309c43f34fa6628ca59132707b69c1a57 GIT binary patch literal 12821 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z_u((x%T!&*#}#g9QS7ojNonn9Ji4lJ&fk>@FUI!_SH6l0XTu`ah)Bj7UDmE2v#^CM z^D@N6uiVIaKlAaf6(nz;OZm1@fqsg>MUg1CY>qGwF)rt2hQBM68ZINSQBd>D zD1%eohA5aEmLl0)!RG#~xW zrN6|Xt;7Q#_v0(K!39E8O+SPVSXJF;m0Da!RW-9NhC8;}fomeyq9sq<9V1fN6U^t& zXYPdCqwg(t%2D<2_o)25{~F9%c^j$>RuR*^($i>h^8UPxh}}QU=6aK<#3$dP|T4e06;F=#9j^Zw)6o_Wmn);I8z1WMJMq&Bw6|Xo!w$h0*NGOtK zmbzwJ&8n^fn=1?r6?EVE#hxRTnHf3vct#)RKXc8Bhm8^Hbox^JG6*NJt$5DUaMnh$ z>~nuzjs4uF43~PT!9+KwGN0%$t^C8tg(QU-m#*QK zkf6>g8uRm$l_;-YgGP=o>Jx3q8Sz5?62L8ofY*!1mdL+ypuCq;l`WSx|Mb5AXVGmb literal 0 HcmV?d00001 From ee395a34b73e43386f0c250ea224118a49fafaca Mon Sep 17 00:00:00 2001 From: ayogasekaram Date: Fri, 26 Apr 2024 18:44:57 +0000 Subject: [PATCH 3/8] reorganize pkgdown --- _pkgdown.yml | 43 ++++++++++++++++++++++++++++++++----------- 1 file changed, 32 insertions(+), 11 deletions(-) diff --git a/_pkgdown.yml b/_pkgdown.yml index e22a3e83d..a1acfa498 100644 --- a/_pkgdown.yml +++ b/_pkgdown.yml @@ -22,10 +22,8 @@ authors: reference: - title: "ARD Creation" - - subtitle: "Inference" + - subtitle: "{stats} package" - contents: - - ard_aod_wald_test - - ard_car_anova - ard_stats_anova - ard_stats_aov - ard_stats_chisq_test @@ -37,23 +35,46 @@ reference: - ard_stats_prop_test - ard_stats_t_test - ard_stats_wilcox_test - - ard_survey_svychisq - - ard_survey_svyranktest - - ard_survey_svyttest - - ard_survival_survdiff - - subtitle: "Estimation" + - subtitle: "{aod} package" + - contents: + - ard_aod_wald_test + + - subtitle: "{car} package" - contents: + - ard_car_anova - ard_car_vif + + - subtitle: "{effectsize} package" + - contents: - ard_effectsize_cohens_d - ard_effectsize_hedges_g + + - subtitle: "{emmeans} package" + - contents: - ard_emmeans_mean_difference + + - subtitle: "{smd} package" + - contents: + - ard_smd_smd + + - subtitle: "{survey} package" + - contents: + - ard_survey_svychisq + - ard_survey_svycontinuous + - ard_survey_svyranktest + - ard_survey_svyttest + + - subtitle: "{survival} package" + - contents: + - ard_survival_survfit + - ard_survival_survdiff + + - subtitle: "Other ARD functions" + - contents: - ard_proportion_ci - ard_regression - ard_regression_basic - - ard_smd_smd - - ard_survival_survfit - - ard_survey_svycontinuous - title: "Helpers" - contents: From 627896ceca1703191836c7d334682a98562cbc51 Mon Sep 17 00:00:00 2001 From: ayogasekaram Date: Mon, 29 Apr 2024 15:11:10 +0000 Subject: [PATCH 4/8] remove images, add rmd file. --- README.Rmd | 80 ++++++++++++++++++ README.md | 76 +++++++++-------- man/figures/README-ard-gtsummary-workflow.png | Bin 243744 -> 0 bytes man/figures/README-model-input.png | Bin 12821 -> 0 bytes man/figures/README-t_test_print_simple.png | Bin 22537 -> 0 bytes 5 files changed, 122 insertions(+), 34 deletions(-) create mode 100644 README.Rmd delete mode 100755 man/figures/README-ard-gtsummary-workflow.png delete mode 100755 man/figures/README-model-input.png delete mode 100755 man/figures/README-t_test_print_simple.png diff --git a/README.Rmd b/README.Rmd new file mode 100644 index 000000000..bf7bbcf67 --- /dev/null +++ b/README.Rmd @@ -0,0 +1,80 @@ +--- +output: github_document +editor_options: + markdown: + wrap: 72 +--- + +# cardx cardx website + +[![R-CMD-check](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml) +[![Codecov test +coverage](https://codecov.io/gh/insightsengineering/cardx/branch/main/graph/badge.svg)](https://app.codecov.io/gh/insightsengineering/cardx?branch=main) +[![Lifecycle: +experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) + +This is the source repository of the `cardx` R package. + +The {cardx} package is an extension of the {cards} package, providing +additional functions to create Analysis Results Data Objects (ARDs) +using the **R** programming language. The {cardx} package exports ARD +functions that uses utility functions from {cards} and statistical +functions from additional packages (such as {stats}, {aod}, {car}, +{survey}, etc.) to construct summary objects. + +Summary objects can be used to: + +- [**Generate Tables and visualizations for Regulatory Submission**] + easily in **R**. Perfect for presenting descriptive statistics, + statistical analyses, regressions, etc. and more. + +- [**Conduct Quality Control checks on existing Tables** ] in R. + Storing both the results and test parameters supports the re-use and + verification of data analyses. + +## Installation + +The latest development version of `{cardx}` can directly be installed +from GitHub by running the following: + +``` r +if (!require("pak")) install.packages("pak") +pak::pak("insightsengineering/cardx") +``` + +## Examples + +### Example ARD Creation + +Example ttest: + +```{r} +library(cardx) + +# summarize the data with our package +cards::ADSL |> + # keep two treatment arms for the t-test calculation + dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> + cardx::ard_stats_t_test(by = ARM, variable = AGE) +``` + +Note that the returned ARD contains the analysis results in addition to +the function parameters used to calculate the results allowing for +reproducible future analyses and further customization. + +### Model Input + +Some {cardx} functions accept regression model objects as input: + +```{r} +lm(AGE ~ ARM, data = cards::ADSL) |> + ard_aod_wald_test() +``` + +## Additional Resources + +- The best resources are the help documents accompanying each {cardx} + function. +- Supporting documentation for both companion packages {cards} and + {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} + will be useful for understanding the ARD workflow and capabilities. diff --git a/README.md b/README.md index e4f4fb8a1..da23a9e5e 100644 --- a/README.md +++ b/README.md @@ -1,21 +1,12 @@ ---- -editor_options: - markdown: - wrap: 72 ---- # cardx cardx website - - [![R-CMD-check](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/insightsengineering/cardx/actions/workflows/R-CMD-check.yaml) [![Codecov test coverage](https://codecov.io/gh/insightsengineering/cardx/branch/main/graph/badge.svg)](https://app.codecov.io/gh/insightsengineering/cardx?branch=main) [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) - - This is the source repository of the `cardx` R package. The {cardx} package is an extension of the {cards} package, providing @@ -27,20 +18,13 @@ functions from additional packages (such as {stats}, {aod}, {car}, Summary objects can be used to: -- [**Generate Tables and visualizations for Regulatory Submission**] - easily in **R**. Perfect for presenting descriptive statistics, - statistical analyses, regressions, etc. and more. - -- [**Conduct Quality Control checks on existing Tables** ] in R. - Storing both the results and test parameters supports the re-use and - verification of data analyses. - -In the future, components of the {cards} package will be integrated -seamlessly with the {gtsummary} package for table creation. ARDs will be -a byproduct of {gtsummary} tables and ARDs will be acceptable input for -{gtsummary} functions as detailed in the image below: +- \[**Generate Tables and visualizations for Regulatory Submission**\] + easily in **R**. Perfect for presenting descriptive statistics, + statistical analyses, regressions, etc. and more. - +- \[**Conduct Quality Control checks on existing Tables** \] in R. + Storing both the results and test parameters supports the re-use and + verification of data analyses. ## Installation @@ -54,11 +38,7 @@ pak::pak("insightsengineering/cardx") ## Examples -### Summary Table - -Use -[`tbl_summary()`](https://www.danieldsjoberg.com/gtsummary/reference/tbl_summary.html) -to summarize a data frame. +### Example ARD Creation Example ttest: @@ -72,7 +52,25 @@ cards::ADSL |> cardx::ard_stats_t_test(by = ARM, variable = AGE) ``` - + ## {cards} data frame: 14 x 9 + + ## group1 variable context stat_name stat_label stat + ## 1 ARM AGE stats_t_… estimate Mean Dif… 0.828 + ## 2 ARM AGE stats_t_… estimate1 Group 1 … 75.209 + ## 3 ARM AGE stats_t_… estimate2 Group 2 … 74.381 + ## 4 ARM AGE stats_t_… statistic t Statis… 0.655 + ## 5 ARM AGE stats_t_… p.value p-value 0.513 + ## 6 ARM AGE stats_t_… parameter Degrees … 167.362 + ## 7 ARM AGE stats_t_… conf.low CI Lower… -1.668 + ## 8 ARM AGE stats_t_… conf.high CI Upper… 3.324 + ## 9 ARM AGE stats_t_… method method Welch Tw… + ## 10 ARM AGE stats_t_… alternative alternat… two.sided + ## 11 ARM AGE stats_t_… mu H0 Mean 0 + ## 12 ARM AGE stats_t_… paired Paired t… FALSE + ## 13 ARM AGE stats_t_… var.equal Equal Va… FALSE + ## 14 ARM AGE stats_t_… conf.level CI Confi… 0.95 + + ## ℹ 3 more variables: fmt_fn, warning, error Note that the returned ARD contains the analysis results in addition to the function parameters used to calculate the results allowing for @@ -87,12 +85,22 @@ lm(AGE ~ ARM, data = cards::ADSL) |> ard_aod_wald_test() ``` - + ## {cards} data frame: 6 x 8 + + ## variable context stat_name stat_label stat fmt_fn + ## 1 (Intercept) aod_wald… df Degrees … 1 1 + ## 2 (Intercept) aod_wald… statistic Statistic 7126.713 1 + ## 3 (Intercept) aod_wald… p.value p-value 0 1 + ## 4 ARM aod_wald… df Degrees … 2 1 + ## 5 ARM aod_wald… statistic Statistic 1.046 1 + ## 6 ARM aod_wald… p.value p-value 0.593 1 + + ## ℹ 2 more variables: warning, error ## Additional Resources -- The best resources are the help documents accompanying each {cardx} - function. -- Supporting documentation for both companion packages {cards} and - {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} - will be useful for understanding the ARD workflow and capabilities. +- The best resources are the help documents accompanying each {cardx} + function. +- Supporting documentation for both companion packages {cards} and + {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} + will be useful for understanding the ARD workflow and capabilities. diff --git a/man/figures/README-ard-gtsummary-workflow.png b/man/figures/README-ard-gtsummary-workflow.png deleted file mode 100755 index da8b47e76fe6c0248bfda6628badfa082962e68e..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 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ayogasekaram Date: Mon, 29 Apr 2024 15:19:55 +0000 Subject: [PATCH 5/8] run styler --- .Rbuildignore | 1 + README.Rmd | 6 +++--- README.md | 6 +++--- 3 files changed, 7 insertions(+), 6 deletions(-) diff --git a/.Rbuildignore b/.Rbuildignore index 821ac9f2e..8fe1c26fc 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -35,3 +35,4 @@ pkgdown # others ^renv$ ^renv\.lock$ +^README\.Rmd$ diff --git a/README.Rmd b/README.Rmd index bf7bbcf67..eb53bc778 100644 --- a/README.Rmd +++ b/README.Rmd @@ -52,9 +52,9 @@ Example ttest: library(cardx) # summarize the data with our package -cards::ADSL |> +cards::ADSL |> # keep two treatment arms for the t-test calculation - dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> + dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> cardx::ard_stats_t_test(by = ARM, variable = AGE) ``` @@ -68,7 +68,7 @@ Some {cardx} functions accept regression model objects as input: ```{r} lm(AGE ~ ARM, data = cards::ADSL) |> - ard_aod_wald_test() + ard_aod_wald_test() ``` ## Additional Resources diff --git a/README.md b/README.md index da23a9e5e..f513cb725 100644 --- a/README.md +++ b/README.md @@ -46,9 +46,9 @@ Example ttest: library(cardx) # summarize the data with our package -cards::ADSL |> +cards::ADSL |> # keep two treatment arms for the t-test calculation - dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> + dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> cardx::ard_stats_t_test(by = ARM, variable = AGE) ``` @@ -82,7 +82,7 @@ Some {cardx} functions accept regression model objects as input: ``` r lm(AGE ~ ARM, data = cards::ADSL) |> - ard_aod_wald_test() + ard_aod_wald_test() ``` ## {cards} data frame: 6 x 8 From 7413660842fcb96dca074e81ca860a39672427fc Mon Sep 17 00:00:00 2001 From: Daniel Sjoberg Date: Tue, 30 Apr 2024 08:35:21 -0700 Subject: [PATCH 6/8] liil updates --- README.Rmd | 51 +++++++++++++++++++++++++++++---------------------- README.md | 54 ++++++++++++++++++++++++++++++++++++------------------ 2 files changed, 65 insertions(+), 40 deletions(-) diff --git a/README.Rmd b/README.Rmd index eb53bc778..8c2a55acf 100644 --- a/README.Rmd +++ b/README.Rmd @@ -13,45 +13,43 @@ coverage](https://codecov.io/gh/insightsengineering/cardx/branch/main/graph/badg [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) -This is the source repository of the `cardx` R package. - -The {cardx} package is an extension of the {cards} package, providing -additional functions to create Analysis Results Data Objects (ARDs) -using the **R** programming language. The {cardx} package exports ARD -functions that uses utility functions from {cards} and statistical -functions from additional packages (such as {stats}, {aod}, {car}, -{survey}, etc.) to construct summary objects. +The **{cardx}** package is an extension of the {cards} package, providing additional functions to create Analysis Results Data Objects (ARDs) using the **R** programming language. +The {cardx} package exports ARD functions that uses utility functions from {cards} and statistical functions from additional packages (such as, {stats}, {mmrm}, {emmeans}, {car}, {survey}, etc.) to construct summary objects. Summary objects can be used to: -- [**Generate Tables and visualizations for Regulatory Submission**] +- **Generate Tables and visualizations for Regulatory Submission** easily in **R**. Perfect for presenting descriptive statistics, statistical analyses, regressions, etc. and more. -- [**Conduct Quality Control checks on existing Tables** ] in R. +- **Conduct Quality Control checks on existing Tables** in R. Storing both the results and test parameters supports the re-use and verification of data analyses. ## Installation -The latest development version of `{cardx}` can directly be installed -from GitHub by running the following: +Install cards from CRAN with: + +```r +install.packages("cardx") +``` + +You can install the development version of cards from [GitHub](https://github.com/) with: ``` r -if (!require("pak")) install.packages("pak") -pak::pak("insightsengineering/cardx") +# install.packages("devtools") +devtools::install_github("insightsengineering/cardx") ``` ## Examples ### Example ARD Creation -Example ttest: +Example t-test: ```{r} library(cardx) -# summarize the data with our package cards::ADSL |> # keep two treatment arms for the t-test calculation dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> @@ -66,15 +64,24 @@ reproducible future analyses and further customization. Some {cardx} functions accept regression model objects as input: -```{r} +```{r, eval=FALSE} lm(AGE ~ ARM, data = cards::ADSL) |> ard_aod_wald_test() ``` +Note that the [Analysis Results Standard](https://www.cdisc.org/standards/foundational/analysis-results-standard) should begin with a data set rather than a model object. +To accomplish this we include model construction helpers. + +```{r} +construct_model( + x = cards::ADSL, + formula = reformulate2("ARM", response = "AGE"), + method = "lm" +) |> + ard_aod_wald_test() +``` + ## Additional Resources -- The best resources are the help documents accompanying each {cardx} - function. -- Supporting documentation for both companion packages {cards} and - {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} - will be useful for understanding the ARD workflow and capabilities. +- The best resources are the help documents accompanying each {cardx} function. +- Supporting documentation for both companion packages [{cards}](https://insightsengineering.github.io/cards/) and {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} will be useful for understanding the ARD workflow and capabilities. diff --git a/README.md b/README.md index f513cb725..7c108b27a 100644 --- a/README.md +++ b/README.md @@ -7,45 +7,48 @@ coverage](https://codecov.io/gh/insightsengineering/cardx/branch/main/graph/badg [![Lifecycle: experimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental) -This is the source repository of the `cardx` R package. - -The {cardx} package is an extension of the {cards} package, providing -additional functions to create Analysis Results Data Objects (ARDs) -using the **R** programming language. The {cardx} package exports ARD -functions that uses utility functions from {cards} and statistical -functions from additional packages (such as {stats}, {aod}, {car}, -{survey}, etc.) to construct summary objects. +The **{cardx}** package is an extension of the {cards} package, +providing additional functions to create Analysis Results Data Objects +(ARDs) using the **R** programming language. The {cardx} package exports +ARD functions that uses utility functions from {cards} and statistical +functions from additional packages (such as, {stats}, {mmrm}, {emmeans}, +{car}, {survey}, etc.) to construct summary objects. Summary objects can be used to: -- \[**Generate Tables and visualizations for Regulatory Submission**\] +- **Generate Tables and visualizations for Regulatory Submission** easily in **R**. Perfect for presenting descriptive statistics, statistical analyses, regressions, etc. and more. -- \[**Conduct Quality Control checks on existing Tables** \] in R. - Storing both the results and test parameters supports the re-use and +- **Conduct Quality Control checks on existing Tables** in R. Storing + both the results and test parameters supports the re-use and verification of data analyses. ## Installation -The latest development version of `{cardx}` can directly be installed -from GitHub by running the following: +Install cards from CRAN with: + +``` r +install.packages("cardx") +``` + +You can install the development version of cards from +[GitHub](https://github.com/) with: ``` r -if (!require("pak")) install.packages("pak") -pak::pak("insightsengineering/cardx") +# install.packages("devtools") +devtools::install_github("insightsengineering/cardx") ``` ## Examples ### Example ARD Creation -Example ttest: +Example t-test: ``` r library(cardx) -# summarize the data with our package cards::ADSL |> # keep two treatment arms for the t-test calculation dplyr::filter(ARM %in% c("Placebo", "Xanomeline High Dose")) |> @@ -85,6 +88,20 @@ lm(AGE ~ ARM, data = cards::ADSL) |> ard_aod_wald_test() ``` +Note that the [Analysis Results +Standard](https://www.cdisc.org/standards/foundational/analysis-results-standard) +should begin with a data set rather than a model object. To accomplish +this we include model construction helpers. + +``` r +construct_model( + x = cards::ADSL, + formula = reformulate2("ARM", response = "AGE"), + method = "lm" +) |> + ard_aod_wald_test() +``` + ## {cards} data frame: 6 x 8 ## variable context stat_name stat_label stat fmt_fn @@ -101,6 +118,7 @@ lm(AGE ~ ARM, data = cards::ADSL) |> - The best resources are the help documents accompanying each {cardx} function. -- Supporting documentation for both companion packages {cards} and +- Supporting documentation for both companion packages + [{cards}](https://insightsengineering.github.io/cards/) and {[gtsummary](https://www.danieldsjoberg.com/gtsummary/index.html)} will be useful for understanding the ARD workflow and capabilities. From f78461f769a9c9f0196b4be9351717b02708e234 Mon Sep 17 00:00:00 2001 From: Daniel Sjoberg Date: Tue, 30 Apr 2024 08:38:40 -0700 Subject: [PATCH 7/8] Update WORDLIST --- inst/WORDLIST | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/inst/WORDLIST b/inst/WORDLIST index 283e2e60f..cb6fc6490 100644 --- a/inst/WORDLIST +++ b/inst/WORDLIST @@ -19,7 +19,6 @@ XG Xin agresti anova -aod backtick cli clopper @@ -30,12 +29,12 @@ emmeans funder gtsummary jeffreys +mmrm pearson pre quosures sd strat -ttest vif wald waldcc From 0a4dd786f72d1569bc9b8c9edf461f534118ca84 Mon Sep 17 00:00:00 2001 From: Daniel Sjoberg Date: Tue, 30 Apr 2024 08:49:28 -0700 Subject: [PATCH 8/8] Update test-ard_regression.R --- tests/testthat/test-ard_regression.R | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/testthat/test-ard_regression.R b/tests/testthat/test-ard_regression.R index 91610c3d2..e5fb7658e 100644 --- a/tests/testthat/test-ard_regression.R +++ b/tests/testthat/test-ard_regression.R @@ -24,7 +24,7 @@ test_that("ard_regression() works", { test_that("ard_regression() works specifying custom tidier", { skip_if_not(is_pkg_installed(pkg = c("lme4", "broom.mixed"), reference_pkg = "cardx")) expect_snapshot( - lme4::lmer(mpg ~ hp + (1 | cyl), data = mtcars) |> + lme4::lmer(mpg ~ hp + (1 | cyl), data = mtcars) |> ard_regression(tidy_fun = broom.mixed::tidy) |> as.data.frame() |> dplyr::select(-context, -stat_label, -fmt_fn) |>