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teal::init(). The data argument will accept a teal_data objecttm_a_regression.tm_outliers when changing the selected variable would cause a popup.teal.slice dependencies.chunks with simpler qenv class.datasets argument containing FilteredData with the new arguments data (tdata object) and filter_panel_api (FilterPanelAPI).parent_dataname argument to tm_variable_browser and tm_missing_data to allow specification of parent dataset for these modules.UI labels and plot panel title in tm_g_association.tm_variable_browser module for text size and plot theme.ggplot theme to be always selected in all modules.shinyvalidate::InputValidator instead of shiny::validate for better UI experience.tm_g_scatterplot when selected x and y facets were the same.tm_g_distribution to plot the theoretical distribution with newer ggplot2 version.tm_g_bivariate when adding lines checkbox was available if one of x or y was deselected.tm_variable_browser when changing filters would reset the selected variable to the first on the list.scda package dependency from examples.ggplot2 functions ..count.., ..density.. and ..prop...forcats dependency.teal.reporter functionality to all modules.nestcolor in the examples, refactored tm_a_pca and tm_missing_data to allow using nestcolor.tm_g_scatterplot.server_rendering flag to tm_data_table to control whether the table is rendered server or client side.tm_a_pca tables.tm_t_crosstable.tm_missing_data when selecting only variables with missings.tm_missing_data when using any_na.Imports to Suggests in the DESCRIPTION file.magrittr package from Depends to Imports in the DESCRIPTION file.teal module tm_front_page to simplify creating a front page for teal apps.tm_g_scatterplot.tm_g_scatterplot.Debug Info.tm_a_regression.R.tm_a_pca.tm_outliers.pkgdown site.moduleServer and updated call to plot_with_settings_srv after changes in teal.devel.data_extract_ui. All selectors can return ordered selection if one specifies ordered = TRUE in select_spec.tm_missing_data combination plot to show data in descending order.By variable levels output in tm_missing_data to allow numerical sorting.n row in tm_t_crosstable.teal::root_modules with teal::modules following deprecation of teal::root_modules.teal framework.README file.ggmosaic package from Depends to Imports in the DESCRIPTION file.logger package and added info level logs upon initialization of a module.ggplot2::labs and ggplot2::theme in plot based modules.rtables::basic_table in tm_t_crosstable.tm_outliers, tm_g_scatterplotmatrix, tm_g_association, and tm_t_crosstable modules to adopt the new teal.transform::data_merge_srv and teal.transform::data_extract_multiple_srv modules.NA in plot depicting counts of tm_variable_browser with a different color fill.tm_variable_browser to reflect the plot after outliers are removed.tm_variable_browser histogram for factor like variables.Variable and Type in tm_variable_browser by separating the variable type icons into their own column.Grouped by Subject tab of the tm_missing_data module to present data the same way the Summary tab does.NA level in grouping variable in By variable levels table in tm_missing_data module.By variable levels table in tm_missing_data module.tm_g_scatterplot to toggle the option to free up the x and y axis scales whenever faceting arguments are provided.tm_data_table so that Buttons extension could download full table. Added example for advanced usage of DT in the module.tm_variable_browser when the selected column is logical(1).R >= 3.6.input_id argument from teal.transform::data_merge_module calls in all modules.teal.devel::data_extract_input into its replacement teal.transform::data_extract_ui.teal.transform::data_merge_srv to use dplyr::inner_join instead of dplyr::left_join in tm_outliers module.tm_g_distribution module.test.nest package.utils.nest package and replaced its functions with equivalents from the checkmate package.tm_file_viewer, was added for the visualization of static files.tm_g_distribution, was added for distribution analysis.tm_variable_browser.tm_variable_browsersparkline support for Date/POSIXct/POSIXlt variable types.tm_outliersfilter_spec support.select_spec for categorical variables.tm_g_scatterplotmatrixtm_g_associationtm_t_crosstabletm_g_scatterploty value when the actual x values are plugged in.LICENCE and README with new package references.error_on_lint: TRUE to .lintr.type = 2 argument in tm_variable_browser to be in line with STREAM.tm_g_scatterplot to compute trend line statistics using ggpmisc::stat_poly_eq to simplify code and to have labels for each group on the plot.tm_g_scatterplot to enable filtering via the Encoding Panel using the new filter_spec functionality.tm_variable_browser.tm_outliers to handle non-CDISC datasets.UI of tm_variable_browser for factor and character variables with more than 30 levels.sparklines to remove NA values for numeric variables.tm_g_scatterplot.tm_g_scatterplot handling users choosing more than one facet variable.tm_variable_browser by a more efficient sparkline generation.tm_missing_data.tm_a_regression, tm_missing_data and tm_variable_browser.tm_variable_browser module.tm_t_crosstable.tm_variable_browser with datasets_selected argument.by variable levels tab of tm_missing_data, not just those selected to be displayed as rows in the table.tm_g_scatterplot.tm_variable_browser if no graph shown.DT length reset in tm_variable_browser on “Show parent dataset variables” checkbox tick.tm_outlierstm_outliers to analyze outliers in datasets.tm_g_scatterplotmax_deg optional argument to scatterplot to allow users to choose the maximum smoothing degree for the trend line.tm_t_crosstable. Incorporate missings resulting from non inner join.tm_missing_data caused by input dataset not having categorical variables or being a data.frame instead of tibble.tm_a_pca biplot plot when coloring with a factor/character/numeric with < 6 values variable.tm_variable_browser.Sparklines no longer shown for numeric variables with more than 100000 rows."Show variables other than in ADSL" checkbox to more general "Show parent dataset variables".tm_missing_data are conditional to the data being a CDISC data.pre_output and post_output arguments to tm_data_table, tm_missing_data, tm_variable_browser.tm_data_table when selecting “show distinct rows” if variable names had non-alphanumeric characters.tm_variable_browsersparklines for quick, inline variable summaries.Date, POSIXct and POSIXlt.n in statistics table for numeric variables.tm_variable_browser shows from 30 up to 50 levels divided in 2 columns for character/factor variables with more than 30 unique levels.tm_a_regressiontm_a_regression and provided an additional optional argument, default_outlier_label which can be used to specify the default column used to label outliers.tm_g_scatterplotshape and point color arguments. The latter users colourpicker::colourInput.size_by variable to scatterplot and allowed for point size to be mapped to a numeric variable.tm_missing_datatm_g_bivariatetm_a_pcaPlot settings and Plot specific settings.is_single_dataset argument for data_extract_input function calls to simplify encodings panel UI.code argument to cdisc_dataset (from cdisc_data) in examples and vignettes.ggmosaic version >= 0.3.0.tm_g_association, tm_g_response, and tm_g_scatterplot, as well as point size and opacity settings for tm_g_association and tm_g_scatterplot.pickerInput with optionalSelectInput for tm_data_table.facet parameter to tm_g_bivariate to specify whether the facet encodings elements should be visible to the user by default.plot_with_height module with new plot_with_settings module.tm_data_table: allow developers to pass arguments to DT::dataTable and use pickerInput to select variables.tm_g_response a new argument count_labels. Counts might be assessed for the frequency plot too.base plots in tm_a_regression with ggplot2.width in plot_with_settings.Inf in data gracefully.tm_variable_browser now outputs the summary table for factors with all missing values.ggplot call inside chunks in modules.dataname to get_rcode_srv.tm_data_table.teal.code::chunks_push_data_merge to include merge code into reproducibility code.tm_variable_browser.tm_bivariate.magrittr loading in reproducible code.tm_table on tm_cross_table.tm_cross_table and tm_t_percentage_table into one module.These binaries (installable software) and packages are in development.
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