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tm_a_pca, tm_a_regression,
tm_g_scatterplot, tm_g_association,
tm_g_bivariate, tm_g_distribution,
tm_g_response, tm_t_crosstable (#870)transformators and decorators
argument to modules (#863).Show Warnings modals from modules.datasets_selected argument of modules
in favor of datanames.show_metadata argument of
tm_front_page() in favor of datanames.teal.logger functionality for logging changes in
shiny inputs in all modules.teal.data.tm_g_distribution to not start with validation
error (#823).tm_missing_data in “Group by Subject”
that was not using reactive data call (#772).tm_g_regression
(#66).tm_g_association where the app would
crash when a selected categorical variable was a factor instead of a
character (#645).teal::init(). The data
argument will accept a teal_data object.tm_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.scda data generation functions with
random.cdisc.datateal.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.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.