.check_uniqueness

Check the uniqueness of groups
This function takes a data frame `df` and a vector of columns `group_by`, and checks whether the combinations of values in the columns specified by `group_by` are unique. If the combinations are not unique, a warning message is printed.

The EQ-5D is a widely-used standarized instrument for measuring Health Related Quality Of Life (HRQOL),
developed by the EuroQol group <https://euroqol.org/>. It assesses five dimensions; mobility, self-care,
usual activities, pain/discomfort, and anxiety/depression, using either a three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale.
Scores from these dimensions are commonly converted into a single utility index using country-specific value sets,
which are critical in clinical and economic evaluations of healthcare and in population health surveys.
The eq5dsuite package enables users to calculate utility index values for the EQ-5D instruments,
including crosswalk utilities using the original crosswalk developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008>
(mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently developed reverse crosswalk
by van Hout et al. (2021) <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses
to EQ-5D-5L index values). Users are allowed to add and/or remove user-defined value sets.
Additionally, the package provides tools to analyze EQ-5D data according to the recommended
guidelines outlined in "Methods for Analyzing and Reporting EQ-5D data" by Devlin et al. (2020) <doi:10.1007/978-3-030-47622-9>.

Kim Rand

eq5dsuite

Handling and Analysing EQ-5d Data

Iryna Schlackow

Anabel Estévez-Carrillo

.check_uniqueness function

<dl><dt>df</dt>
<dd>A data frame.</dd>
<dt>group_by</dt>
<dd>A character vector of column names in `df` that specify the groups to check for uniqueness.</dd></dl>

Arguments

Check the uniqueness of groups
This function takes a data frame `df` and a vector of columns `group_by`, and checks whether the combinations of values in the columns specified by `group_by` are unique. If the combinations are not unique, a warning message is printed. — .check_uniqueness

<dl>

<dt>df</dt>
<dd>A data frame.</dd>


<dt>group_by</dt>
<dd>A character vector of column names in `df` that specify the groups to check for uniqueness.</dd>

</dl>

Check the uniqueness of groups
This function takes a data frame `df` and a vector of columns `group_by`, and checks whether the combinations of values in the columns specified by `group_by` are unique. If the combinations are not unique, a warning message is printed.

.check_uniqueness: Check the uniqueness of groups This function takes a data frame `df` and a vector of columns `group_by`, and checks whether the combinations of values in the columns specified by `group_by` are unique. If the combinations are not unique, a warning message is printed.

Description

Usage

Value

Arguments

Examples