Package 'visOmopResults' reference manual

Title:	Graphs and Tables for OMOP Results
Description:	Provides methods to transform omop_result objects into formatted tables and figures, facilitating the visualisation of study results working with the Observational Medical Outcomes Partnership (OMOP) Common Data Model.
Authors:	Martí Català [aut] , Núria Mercadé-Besora [aut, cre] , Yuchen Guo [ctb] , Elin Rowlands [ctb] , Edward Burn [ctb]
Maintainer:	Núria Mercadé-Besora <[email protected]>
License:	Apache License (>= 2)
Version:	1.0.0
Built:	2025-02-15 06:58:53 UTC
Source:	CRAN

Create a bar plot visualisation from a `⁠<summarised_result>⁠` object

Description

Create a bar plot visualisation from a ⁠<summarised_result>⁠ object

Usage

barPlot(
  result,
  x,
  y,
  width = NULL,
  just = 0.5,
  facet = NULL,
  colour = NULL,
  label = character()
)
barPlot(
  result,
  x,
  y,
  width = NULL,
  just = 0.5,
  facet = NULL,
  colour = NULL,
  label = character()
)

Arguments

`result`	A `⁠<summarised_result>⁠` object.
`x`	Column or estimate name that is used as x variable.
`y`	Column or estimate name that is used as y variable.
`width`	Bar width, as in `geom_col()` of the `ggplot2` package.
`just`	Adjustment for column placement, as in `geom_col()` of the `ggplot2` package.
`facet`	Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns.
`colour`	Columns to use to determine the colors.
`label`	Character vector with the columns to display interactively in `plotly`.

Value

A plot object.

Examples

result <- mockSummarisedResult() |> dplyr::filter(variable_name == "age")

barPlot(
  result = result,
  x = "cohort_name",
  y = "mean",
  facet = c("age_group", "sex"),
  colour = "sex")

result <- mockSummarisedResult() |> dplyr::filter(variable_name == "age")

barPlot(
  result = result,
  x = "cohort_name",
  y = "mean",
  facet = c("age_group", "sex"),
  colour = "sex")

Create a box plot visualisation from a `⁠<summarised_result>⁠` object

Description

Create a box plot visualisation from a ⁠<summarised_result>⁠ object

Usage

boxPlot(
  result,
  x,
  lower = "q25",
  middle = "median",
  upper = "q75",
  ymin = "min",
  ymax = "max",
  facet = NULL,
  colour = NULL,
  label = character()
)
boxPlot(
  result,
  x,
  lower = "q25",
  middle = "median",
  upper = "q75",
  ymin = "min",
  ymax = "max",
  facet = NULL,
  colour = NULL,
  label = character()
)

Arguments

`result`	A `⁠<summarised_result>⁠` object.
`x`	Columns to use as x axes.
`lower`	Estimate name for the lower quantile of the box.
`middle`	Estimate name for the middle line of the box.
`upper`	Estimate name for the upper quantile of the box.
`ymin`	Estimate name for the lower limit of the bars.
`ymax`	Estimate name for the upper limit of the bars.
`facet`	Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns.
`colour`	Columns to use to determine the colors.
`label`	Character vector with the columns to display interactively in `plotly`.

Value

A ggplot2 object.

Examples

dplyr::tibble(year = "2000", q25 = 25, median = 50, q75 = 75, min = 0, max = 100) |>
  boxPlot(x = "year")

dplyr::tibble(year = "2000", q25 = 25, median = 50, q75 = 75, min = 0, max = 100) |>
  boxPlot(x = "year")

Apply styling to text or column names

Description

This function styles character vectors or column names in a data frame. The styling function can be customised, or you can provide specific replacements for certain values.

Usage

customiseText(
  x,
  fun = function(x) stringr::str_to_sentence(gsub("_", " ", x)),
  custom = NULL,
  keep = NULL
)
customiseText(
  x,
  fun = function(x) stringr::str_to_sentence(gsub("_", " ", x)),
  custom = NULL,
  keep = NULL
)

Arguments

`x`	A character vector to style text.
`fun`	A styling function to apply to text in `x`. The default function converts snake_case to sentence case.
`custom`	A named character vector indicating custom names for specific values in `x`. If NULL, the styling function in `fun` is applied to all values.
`keep`	Either a character vector of names to keep unchanged. If NULL, all names will be styled.

Value

A character vector of styled text or a data frame with styled column names.

Examples

# Styling a character vector
customiseText(c("some_column_name", "another_column"))

# Custom styling for specific values
customiseText(x = c("some_column", "another_column"),
          custom = c("Custom Name" = "another_column"))

# Keeping specific values unchanged
customiseText(x = c("some_column", "another_column"), keep = "another_column")

# Styling column names and variables in a data frame
dplyr::tibble(
  some_column = c("hi_there", "rename_me", "example", "to_keep"),
  another_column = 1:4,
  to_keep = "as_is"
) |>
  dplyr::mutate(
    "some_column" = customiseText(some_column, custom = c("EXAMPLE" = "example"), keep = "to_keep")
  ) |>
  dplyr::rename_with(.fn = ~ customiseText(.x, keep = "to_keep"))
# Styling a character vector
customiseText(c("some_column_name", "another_column"))

# Custom styling for specific values
customiseText(x = c("some_column", "another_column"),
          custom = c("Custom Name" = "another_column"))

# Keeping specific values unchanged
customiseText(x = c("some_column", "another_column"), keep = "another_column")

# Styling column names and variables in a data frame
dplyr::tibble(
  some_column = c("hi_there", "rename_me", "example", "to_keep"),
  another_column = 1:4,
  to_keep = "as_is"
) |>
  dplyr::mutate(
    "some_column" = customiseText(some_column, custom = c("EXAMPLE" = "example"), keep = "to_keep")
  ) |>
  dplyr::rename_with(.fn = ~ customiseText(.x, keep = "to_keep"))

Returns an empty plot

Description

Returns an empty plot

Usage

emptyPlot()
emptyPlot()

Value

An empty ggplot object

Examples

emptyPlot()

emptyPlot()

Returns an empty table

Description

Returns an empty table

Usage

emptyTable(type = "gt")
emptyTable(type = "gt")

Arguments

type

The desired format of the output table. See tableType() for allowed options.

Value

An empty table of the class specified in type

Examples

emptyTable(type = "flextable")

emptyTable(type = "flextable")

Formats estimate_name and estimate_value column

Description

Formats estimate_name and estimate_value columns by changing the name of the estimate name and/or joining different estimates together in a single row.

Usage

formatEstimateName(
  result,
  estimateName = NULL,
  keepNotFormatted = TRUE,
  useFormatOrder = TRUE
)
formatEstimateName(
  result,
  estimateName = NULL,
  keepNotFormatted = TRUE,
  useFormatOrder = TRUE
)

Arguments

`result`	A `⁠<summarised_result>⁠`.
`estimateName`	Named list of estimate name's to join, sorted by computation order. Indicate estimate_name's between <...>.
`keepNotFormatted`	Whether to keep rows not formatted.
`useFormatOrder`	Whether to use the order in which estimate names appear in the estimateName (TRUE), or use the order in the input dataframe (FALSE).

Value

A ⁠<summarised_result>⁠ object.

Examples

result <- mockSummarisedResult()
result |>
  formatEstimateName(
    estimateName = c(
      "N (%)" = "<count> (<percentage>%)", "N" = "<count>"
    ),
    keepNotFormatted = FALSE
  )

result <- mockSummarisedResult()
result |>
  formatEstimateName(
    estimateName = c(
      "N (%)" = "<count> (<percentage>%)", "N" = "<count>"
    ),
    keepNotFormatted = FALSE
  )

Formats the estimate_value column

Description

Formats the estimate_value column of ⁠<summarised_result>⁠ object by editing number of decimals, decimal and thousand/millions separator marks.

Usage

formatEstimateValue(
  result,
  decimals = c(integer = 0, numeric = 2, percentage = 1, proportion = 3),
  decimalMark = ".",
  bigMark = ","
)
formatEstimateValue(
  result,
  decimals = c(integer = 0, numeric = 2, percentage = 1, proportion = 3),
  decimalMark = ".",
  bigMark = ","
)

Arguments

`result`	A `⁠<summarised_result>⁠`.
`decimals`	Number of decimals per estimate type (integer, numeric, percentage, proportion), estimate name, or all estimate values (introduce the number of decimals).
`decimalMark`	Decimal separator mark.
`bigMark`	Thousand and millions separator mark.

Value

A ⁠<summarised_result>⁠.

Examples

result <- mockSummarisedResult()

result |> formatEstimateValue(decimals = 1)

result |> formatEstimateValue(decimals = c(integer = 0, numeric = 1))

result |>
  formatEstimateValue(decimals = c(numeric = 1, count = 0))
result <- mockSummarisedResult()

result |> formatEstimateValue(decimals = 1)

result |> formatEstimateValue(decimals = c(integer = 0, numeric = 1))

result |>
  formatEstimateValue(decimals = c(numeric = 1, count = 0))

Create a header for gt and flextable objects

Description

Pivots a ⁠<summarised_result>⁠ object based on the column names in header, generating specific column names for subsequent header formatting in formatTable function.

Usage

formatHeader(
  result,
  header,
  delim = "\n",
  includeHeaderName = TRUE,
  includeHeaderKey = TRUE
)
formatHeader(
  result,
  header,
  delim = "\n",
  includeHeaderName = TRUE,
  includeHeaderKey = TRUE
)

Arguments

`result`	A `⁠<summarised_result>⁠`.
`header`	Names of the variables to make headers.
`delim`	Delimiter to use to separate headers.
`includeHeaderName`	Whether to include the column name as header.
`includeHeaderKey`	Whether to include the header key (header, header_name, header_level) before each header type in the column names.

Value

A tibble with rows pivotted into columns with key names for subsequent header formatting.

Examples

result <- mockSummarisedResult()

result |>
  formatHeader(
    header = c(
      "Study cohorts", "group_level", "Study strata", "strata_name",
      "strata_level"
    ),
    includeHeaderName = FALSE
  )
result <- mockSummarisedResult()

result |>
  formatHeader(
    header = c(
      "Study cohorts", "group_level", "Study strata", "strata_name",
      "strata_level"
    ),
    includeHeaderName = FALSE
  )

Creates a flextable or gt object from a dataframe

Description

Creates a flextable object from a dataframe using a delimiter to span the header, and allows to easily customise table style.

Usage

formatTable(
  x,
  type = "gt",
  delim = "\n",
  style = "default",
  na = "-",
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  groupColumn = NULL,
  groupAsColumn = FALSE,
  groupOrder = NULL,
  merge = NULL
)
formatTable(
  x,
  type = "gt",
  delim = "\n",
  style = "default",
  na = "-",
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  groupColumn = NULL,
  groupAsColumn = FALSE,
  groupOrder = NULL,
  merge = NULL
)

Arguments

`x`	A dataframe.
`type`	The desired format of the output table. See `tableType()` for allowed options. If "tibble", no formatting will be applied.
`delim`	Delimiter.
`style`	Named list that specifies how to style the different parts of the gt or flextable table generated. Accepted style entries are: title, subtitle, header, header_name, header_level, column_name, group_label, and body. Alternatively, use "default" to get visOmopResults style, or NULL for gt/flextable style. Keep in mind that styling code is different for gt and flextable. To see the "deafult" style code use `tableStyle()`.
`na`	How to display missing values. Not used for "datatable".
`title`	Title of the table, or NULL for no title. Not used for "datatable".
`subtitle`	Subtitle of the table, or NULL for no subtitle. Not used for "datatable".
`caption`	Caption for the table, or NULL for no caption. Text in markdown formatting style (e.g. `⁠Your caption here⁠` for caption in italics).
`groupColumn`	Specifies the columns to use for group labels. By default, the new group name will be a combination of the column names, joined by "_". To assign a custom group name, provide a named list such as: list(`newGroupName` = c("variable_name", "variable_level"))
`groupAsColumn`	Whether to display the group labels as a column (TRUE) or rows (FALSE). Not used for "datatable".
`groupOrder`	Order in which to display group labels. Not used for "datatable".
`merge`	Names of the columns to merge vertically when consecutive row cells have identical values. Alternatively, use "all_columns" to apply this merging to all columns, or use NULL to indicate no merging. Not used for "datatable".

Value

A flextable object.

A flextable or gt object.

Examples

# Example 1
mockSummarisedResult() |>
  formatEstimateValue(decimals = c(integer = 0, numeric = 1)) |>
  formatHeader(
    header = c("Study strata", "strata_name", "strata_level"),
    includeHeaderName = FALSE
  ) |>
  formatTable(
    type = "flextable",
    style = "default",
    na = "--",
    title = "fxTable example",
    subtitle = NULL,
    caption = NULL,
    groupColumn = "group_level",
    groupAsColumn = TRUE,
    groupOrder = c("cohort1", "cohort2"),
    merge = "all_columns"
  )

# Example 2
mockSummarisedResult() |>
  formatEstimateValue(decimals = c(integer = 0, numeric = 1)) |>
  formatHeader(header = c("Study strata", "strata_name", "strata_level"),
              includeHeaderName = FALSE) |>
  formatTable(
    type = "gt",
    style = list("header" = list(
      gt::cell_fill(color = "#d9d9d9"),
      gt::cell_text(weight = "bold")),
      "header_level" = list(gt::cell_fill(color = "#e1e1e1"),
                            gt::cell_text(weight = "bold")),
      "column_name" = list(gt::cell_text(weight = "bold")),
      "title" = list(gt::cell_text(weight = "bold"),
                     gt::cell_fill(color = "#c8c8c8")),
      "group_label" = gt::cell_fill(color = "#e1e1e1")),
    na = "--",
    title = "gtTable example",
    subtitle = NULL,
    caption = NULL,
    groupColumn = "group_level",
    groupAsColumn = FALSE,
    groupOrder = c("cohort1", "cohort2"),
    merge = "all_columns"
  )

# Example 1
mockSummarisedResult() |>
  formatEstimateValue(decimals = c(integer = 0, numeric = 1)) |>
  formatHeader(
    header = c("Study strata", "strata_name", "strata_level"),
    includeHeaderName = FALSE
  ) |>
  formatTable(
    type = "flextable",
    style = "default",
    na = "--",
    title = "fxTable example",
    subtitle = NULL,
    caption = NULL,
    groupColumn = "group_level",
    groupAsColumn = TRUE,
    groupOrder = c("cohort1", "cohort2"),
    merge = "all_columns"
  )

# Example 2
mockSummarisedResult() |>
  formatEstimateValue(decimals = c(integer = 0, numeric = 1)) |>
  formatHeader(header = c("Study strata", "strata_name", "strata_level"),
              includeHeaderName = FALSE) |>
  formatTable(
    type = "gt",
    style = list("header" = list(
      gt::cell_fill(color = "#d9d9d9"),
      gt::cell_text(weight = "bold")),
      "header_level" = list(gt::cell_fill(color = "#e1e1e1"),
                            gt::cell_text(weight = "bold")),
      "column_name" = list(gt::cell_text(weight = "bold")),
      "title" = list(gt::cell_text(weight = "bold"),
                     gt::cell_fill(color = "#c8c8c8")),
      "group_label" = gt::cell_fill(color = "#e1e1e1")),
    na = "--",
    title = "gtTable example",
    subtitle = NULL,
    caption = NULL,
    groupColumn = "group_level",
    groupAsColumn = FALSE,
    groupOrder = c("cohort1", "cohort2"),
    merge = "all_columns"
  )

A `⁠<summarised_result>⁠` object filled with mock data

Description

Creates an object of the class ⁠<summarised_result>⁠ with mock data for illustration purposes.

Usage

mockSummarisedResult()
mockSummarisedResult()

Value

An object of the class ⁠<summarised_result>⁠ with mock data.

Examples

mockSummarisedResult()


mockSummarisedResult()

Columns for the plot functions

Description

Names of the columns that can be used in the input arguments for the plot functions.

Usage

plotColumns(result)
plotColumns(result)

Arguments

result

A ⁠<summarised_result>⁠ object.

Value

A character vector of supported columns for plots.

Examples

result <- mockSummarisedResult()
plotColumns(result)

result <- mockSummarisedResult()
plotColumns(result)

Create a scatter plot visualisation from a `⁠<summarised_result>⁠` object

Description

Create a scatter plot visualisation from a ⁠<summarised_result>⁠ object

Usage

scatterPlot(
  result,
  x,
  y,
  line,
  point,
  ribbon,
  ymin = NULL,
  ymax = NULL,
  facet = NULL,
  colour = NULL,
  group = colour,
  label = character()
)
scatterPlot(
  result,
  x,
  y,
  line,
  point,
  ribbon,
  ymin = NULL,
  ymax = NULL,
  facet = NULL,
  colour = NULL,
  group = colour,
  label = character()
)

Arguments

`result`	A `⁠<summarised_result>⁠` object.
`x`	Column or estimate name that is used as x variable.
`y`	Column or estimate name that is used as y variable
`line`	Whether to plot a line using `geom_line`.
`point`	Whether to plot points using `geom_point`.
`ribbon`	Whether to plot a ribbon using `geom_ribbon`.
`ymin`	Lower limit of error bars, if provided is plot using `geom_errorbar`.
`ymax`	Upper limit of error bars, if provided is plot using `geom_errorbar`.
`facet`	Variables to facet by, a formula can be provided to specify which variables should be used as rows and which ones as columns.
`colour`	Columns to use to determine the colors.
`group`	Columns to use to determine the group.
`label`	Character vector with the columns to display interactively in `plotly`.

Value

A plot object.

Examples

result <- mockSummarisedResult() |>
  dplyr::filter(variable_name == "age")

scatterPlot(
  result = result,
  x = "cohort_name",
  y = "mean",
  line = TRUE,
  point = TRUE,
  ribbon = FALSE,
  facet = age_group ~ sex)

result <- mockSummarisedResult() |>
  dplyr::filter(variable_name == "age")

scatterPlot(
  result = result,
  x = "cohort_name",
  y = "mean",
  line = TRUE,
  point = TRUE,
  ribbon = FALSE,
  facet = age_group ~ sex)

Columns for the table functions

Description

Names of the columns that can be used in the input arguments for the table functions.

Usage

tableColumns(result)
tableColumns(result)

Arguments

result

A ⁠<summarised_result>⁠ object.

Value

A character vector of supported columns for tables.

Examples

result <- mockSummarisedResult()
tableColumns(result)

result <- mockSummarisedResult()
tableColumns(result)

Additional table formatting options for `visOmopTable()` and `visTable()`

Description

This function provides a list of allowed inputs for the .option argument in visOmopTable() and visTable(), and their corresponding default values.

Usage

tableOptions()
tableOptions()

Value

A named list of default options for table customisation.

Examples

tableOptions()

tableOptions()

Supported predefined styles for formatted tables

Description

Supported predefined styles for formatted tables

Usage

tableStyle(type = "gt")
tableStyle(type = "gt")

Arguments

type

Character string specifying the formatted table class. See tableType() for supported classes. Default is "gt".

Value

A code expression for the selected style and table type.

Examples

tableStyle("gt")
tableStyle("flextable")

tableStyle("gt")
tableStyle("flextable")

Supported table classes

Description

This function returns the supported table classes that can be used in the type argument of visOmopTable(), visTable(), and formatTable() functions.

Usage

tableType()
tableType()

Value

A character vector of supported table types.

Examples

tableType()

tableType()

Apply visOmopResults default styling to a ggplot

Description

Apply visOmopResults default styling to a ggplot

Usage

themeVisOmop(fontsizeRef = 10)
themeVisOmop(fontsizeRef = 10)

Arguments

fontsizeRef

An integer to use as reference when adjusting label fontsize.

Examples

result <- mockSummarisedResult() |> dplyr::filter(variable_name == "age")

barPlot(
  result = result,
  x = "cohort_name",
  y = "mean",
  facet = c("age_group", "sex"),
  colour = "sex") +
  themeVisOmop()
result <- mockSummarisedResult() |> dplyr::filter(variable_name == "age")

barPlot(
  result = result,
  x = "cohort_name",
  y = "mean",
  facet = c("age_group", "sex"),
  colour = "sex") +
  themeVisOmop()

Format a `⁠<summarised_result>⁠` object into a gt, flextable, or tibble object

Description

This function combines the functionalities of formatEstimateValue(), estimateName(), formatHeader(), and formatTable() into a single function specifically for ⁠<summarised_result>⁠ objects.

Usage

visOmopTable(
  result,
  estimateName = character(),
  header = character(),
  settingsColumn = character(),
  groupColumn = character(),
  rename = character(),
  type = "gt",
  hide = character(),
  columnOrder = character(),
  factor = list(),
  showMinCellCount = TRUE,
  .options = list()
)
visOmopTable(
  result,
  estimateName = character(),
  header = character(),
  settingsColumn = character(),
  groupColumn = character(),
  rename = character(),
  type = "gt",
  hide = character(),
  columnOrder = character(),
  factor = list(),
  showMinCellCount = TRUE,
  .options = list()
)

Arguments

`result`	A `⁠<summarised_result>⁠` object.
`estimateName`	A named list of estimate names to join, sorted by computation order. Use `⁠<...>⁠` to indicate estimate names.
`header`	A vector specifying the elements to include in the header. The order of elements matters, with the first being the topmost header. Elements in header can be: Any of the columns returned by `tableColumns(result)` to create a header for these columns. Any other input to create an overall header.
`settingsColumn`	A character vector with the names of settings to include in the table. To see options use `settingsColumns(result)`.
`groupColumn`	Columns to use as group labels, to see options use `tableColumns(result)`. By default, the name of the new group will be the tidy* column names separated by ";". To specify a custom group name, use a named list such as: list("newGroupName" = c("variable_name", "variable_level")). *tidy: The tidy format applied to column names replaces "_" with a space and converts to sentence case. Use `rename` to customise specific column names.
`rename`	A named vector to customise column names, e.g., c("Database name" = "cdm_name"). The function renames all column names not specified here into a tidy* format.
`type`	The desired format of the output table. See `tableType()` for allowed options.
`hide`	Columns to drop from the output table. By default, `result_id` and `estimate_type` are always dropped.
`columnOrder`	Character vector establishing the position of the columns in the formatted table. Columns in either header, groupColumn, or hide will be ignored.
`factor`	A named list where names refer to columns (see available columns in `tableColumns()`) and list elements are the level order of that column to arrange the results. The column order in the list will be used for arranging the result.
`showMinCellCount`	If `TRUE`, suppressed estimates will be indicated with "<{min_cell_count}", otherwise, the default `na` defined in `.options` will be used.
`.options`	A named list with additional formatting options. `visOmopResults::tableOptions()` shows allowed arguments and their default values.

Value

A tibble, gt, or flextable object.

Examples

result <- mockSummarisedResult()
result |>
  visOmopTable(
    estimateName = c("N%" = "<count> (<percentage>)",
                     "N" = "<count>",
                     "Mean (SD)" = "<mean> (<sd>)"),
    header = c("group"),
    rename = c("Database name" = "cdm_name"),
    groupColumn = strataColumns(result)
  )
result <- mockSummarisedResult()
result |>
  visOmopTable(
    estimateName = c("N%" = "<count> (<percentage>)",
                     "N" = "<count>",
                     "Mean (SD)" = "<mean> (<sd>)"),
    header = c("group"),
    rename = c("Database name" = "cdm_name"),
    groupColumn = strataColumns(result)
  )

Generate a formatted table from a `⁠<data.table>⁠`

Description

This function combines the functionalities of formatEstimateValue(), formatEstimateName(), formatHeader(), and formatTable() into a single function. While it does not require the input table to be a ⁠<summarised_result>⁠, it does expect specific fields to apply some formatting functionalities.

Usage

visTable(
  result,
  estimateName = character(),
  header = character(),
  groupColumn = character(),
  rename = character(),
  type = "gt",
  hide = character(),
  .options = list()
)
visTable(
  result,
  estimateName = character(),
  header = character(),
  groupColumn = character(),
  rename = character(),
  type = "gt",
  hide = character(),
  .options = list()
)

Arguments

`result`	A table to format.
`estimateName`	A named list of estimate names to join, sorted by computation order. Use `⁠<...>⁠` to indicate estimate names. This argument requires that the table has `estimate_name` and `estimate_value` columns.
`header`	A vector specifying the elements to include in the header. The order of elements matters, with the first being the topmost header. The vector elements can be column names or labels for overall headers. The table must contain an `estimate_value` column to pivot the headers.
`groupColumn`	Columns to use as group labels. By default, the name of the new group will be the tidy* column names separated by ";". To specify a custom group name, use a named list such as: list("newGroupName" = c("variable_name", "variable_level")). *tidy: The tidy format applied to column names replaces "_" with a space and converts them to sentence case. Use `rename` to customise specific column names.
`rename`	A named vector to customise column names, e.g., c("Database name" = "cdm_name"). The function will rename all column names not specified here into a tidy* format.
`type`	The desired format of the output table. See `tableType()` for allowed options.
`hide`	Columns to drop from the output table.
`.options`	A named list with additional formatting options. `visOmopResults::tableOptions()` shows allowed arguments and their default values.

Value

A tibble, gt, or flextable object.

Examples

result <- mockSummarisedResult()
result |>
  visTable(
    estimateName = c("N%" = "<count> (<percentage>)",
                     "N" = "<count>",
                     "Mean (SD)" = "<mean> (<sd>)"),
    header = c("Estimate"),
    rename = c("Database name" = "cdm_name"),
    groupColumn = c("strata_name", "strata_level"),
    hide = c("additional_name", "additional_level", "estimate_type", "result_type")
  )
result <- mockSummarisedResult()
result |>
  visTable(
    estimateName = c("N%" = "<count> (<percentage>)",
                     "N" = "<count>",
                     "Mean (SD)" = "<mean> (<sd>)"),
    header = c("Estimate"),
    rename = c("Database name" = "cdm_name"),
    groupColumn = c("strata_name", "strata_level"),
    hide = c("additional_name", "additional_level", "estimate_type", "result_type")
  )

Package 'visOmopResults'

Help Index

Create a bar plot visualisation from a ⁠<summarised_result>⁠ object

Description

Usage

Arguments

Value

Examples

Create a box plot visualisation from a ⁠<summarised_result>⁠ object

Description

Usage

Arguments

Value

Examples

Apply styling to text or column names

Description

Usage

Arguments

Value

Examples

Returns an empty plot

Description

Usage

Value

Examples

Returns an empty table

Description

Usage

Arguments

Value

Examples

Formats estimate_name and estimate_value column

Description

Usage

Arguments

Value

Examples

Formats the estimate_value column

Description

Usage

Arguments

Value

Examples

Create a header for gt and flextable objects

Description

Usage

Arguments

Value

Examples

Creates a flextable or gt object from a dataframe

Description

Usage

Arguments

Value

Examples

A ⁠<summarised_result>⁠ object filled with mock data

Description

Usage

Value

Examples

Columns for the plot functions

Description

Usage

Arguments

Value

Examples

Create a scatter plot visualisation from a ⁠<summarised_result>⁠ object

Description

Usage

Arguments

Value

Examples

Columns for the table functions

Description

Usage

Arguments

Value

Examples

Additional table formatting options for visOmopTable() and visTable()

Description

Create a bar plot visualisation from a `⁠<summarised_result>⁠` object

Create a box plot visualisation from a `⁠<summarised_result>⁠` object

A `⁠<summarised_result>⁠` object filled with mock data

Create a scatter plot visualisation from a `⁠<summarised_result>⁠` object

Additional table formatting options for `visOmopTable()` and `visTable()`

Format a `⁠<summarised_result>⁠` object into a gt, flextable, or tibble object

Generate a formatted table from a `⁠<data.table>⁠`