heart

A mixed variable dataset containing 14 variables of 297 patients for
their heart disease diagnosis.

datasets

Facilitates the performance of several analyses, including simple and sequential path coefficient analysis, correlation estimate, drawing correlogram, Heatmap, and path diagram. When working with raw data, that includes one or more dependent variables along with one or more independent variables are available, the path coefficient analysis can be conducted. It allows for testing direct effects, which can be a vital indicator in path coefficient analysis. The process of preparing the dataset rule is explained in detail in the vignette file "Path.Analysis_manual.Rmd". You can find this in the folders labelled "data" and "~/inst/extdata". Also see: 1)the 'lavaan', 2)a sample of sequential path analysis in 'metan' suggested by Olivoto and Lúcio (2020) <doi:10.1111/2041-210X.13384>, 3)the simple 'PATHSAS' macro written in 'SAS' by Cramer et al. (1999) <doi:10.1093/jhered/90.1.260>, and 4)the semPlot() function of 'OpenMx' as initial tools for conducting path coefficient analyses and SEM (Structural Equation Modeling). To gain a comprehensive understanding of path coefficient analysis, both in theory and practice, see a 'Minitab' macro developed by Arminian, A. in the paper by Arminian et al. (2008) <doi:10.1080/15427520802043182>.

Ali Arminian

Path.Analysis

Path Coefficient Analysis

heart function

A <code>data.frame</code> including 297 rows and 14 variables:<dl>
<dt>age</dt>
<dd>Age in years (numerical).</dd><dt>sex</dt>
<dd>Sex: 1 = male, 0 = female (logical).</dd><dt><code>heart.disease</code></dt>
<dd>a numeric vector as dependent.</dd><dt><code>biking</code></dt>
<dd>a numeric vector as the first independent.</dd><dt><code>smoking</code></dt>
<dd>a numeric vector as the 2nd independent.</dd>
</dl>

Format

Dataset 6: Heart Disease data set — heart

A <code>data.frame</code> including 297 rows and 14 variables:<dl>
<dt>age</dt>
<dd>Age in years (numerical).</dd>

<dt>sex</dt>
<dd>Sex: 1 = male, 0 = female (logical).</dd>

<dt><code>heart.disease</code></dt>
<dd>a numeric vector as dependent.</dd>

<dt><code>biking</code></dt>
<dd>a numeric vector as the first independent.</dd>

<dt><code>smoking</code></dt>
<dd>a numeric vector as the 2nd independent.</dd>


</dl>

heart: Dataset 6: Heart Disease data set

Description

Usage

Arguments

Format

References

Examples