longitudinal_data_wide

Wide format version of the longitudinal_data dataset with one row per subject
and separate columns for each time point. Useful for certain repeated measures
analyses and data visualization.

datasets

Statistical analysis of survey data with full support
for survey weights, grouped operations, and 'tidyverse' integration. Provides
80 functions for data import/export ('SPSS', 'Stata', 'SAS', 'Excel') with
label roundtripping and tagged NA preservation, label management (variable
labels, value labels, type conversions, missing value declaration), data
transformation (recoding, dummy coding, standardization, centering),
descriptive statistics, codebook generation, hypothesis testing, correlation
analysis, post-hoc comparisons, weighted statistics, scale analysis,
regression, non-parametric tests, exact tests, factorial ANOVA, and ANCOVA.
Every analysis offers compact print() and detailed summary() output with
toggleable sections. Statistical results are validated against 'SPSS'
version 29 within documented per-tier tolerances (see the compatibility
vignette for per-function status). Methods follow the published
algorithms of IBM Corp. (2023, "IBM SPSS Statistics Algorithms"),
the Lilliefors-corrected normality test of Dallal and Wilkinson
(1986) <doi:10.1080/00031305.1986.10475419>, and the adjusted
standardized residuals of Haberman (1973) <doi:10.2307/2529686>.
Designed for survey researchers, social scientists, and students
working with complex survey designs.

Yannick Diehl

mariposa

'SPSS'-Compatible Statistical Tools for Survey Data

longitudinal_data_wide function

A data frame with 120 rows and 8 variables:<dl>
<dt>subject_id</dt>
<dd>Subject identifier (factor, 1-120)</dd><dt>group</dt>
<dd>Treatment group (Control, Treatment)</dd><dt>age</dt>
<dd>Age in years (numeric)</dd><dt>gender</dt>
<dd>Gender (Male, Female)</dd><dt>score_T1</dt>
<dd>Outcome score at Time 1</dd><dt>score_T2</dt>
<dd>Outcome score at Time 2</dd><dt>score_T3</dt>
<dd>Outcome score at Time 3</dd><dt>score_T4</dt>
<dd>Outcome score at Time 4</dd>
</dl>

Format

Longitudinal Study Data - Wide Format (Synthetic) — longitudinal_data_wide

A data frame with 120 rows and 8 variables:<dl>
<dt>subject_id</dt>
<dd>Subject identifier (factor, 1-120)</dd>

<dt>group</dt>
<dd>Treatment group (Control, Treatment)</dd>

<dt>age</dt>
<dd>Age in years (numeric)</dd>

<dt>gender</dt>
<dd>Gender (Male, Female)</dd>

<dt>score_T1</dt>
<dd>Outcome score at Time 1</dd>

<dt>score_T2</dt>
<dd>Outcome score at Time 2</dd>

<dt>score_T3</dt>
<dd>Outcome score at Time 3</dd>

<dt>score_T4</dt>
<dd>Outcome score at Time 4</dd>


</dl>

longitudinal_data_wide: Longitudinal Study Data - Wide Format (Synthetic)

Description

Usage

Arguments

Format

Details

See Also

Examples