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fixing readme
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Marko Lalovic committed Mar 27, 2024
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Expand Up @@ -24,7 +24,7 @@ This package aims to provide an easy way to:
- Generate Likert-type responses for single or multiple items.
- Simulate Likert scales with associations between items to measure underlying constructs.
- Create artificial data to validate theoretical findings, when employing statistical techniques such as Factor Analysis and Structural Equation Modeling.
- Estimate means and standard deviations of latent variables to recreate existing rating-scale data.
- Estimate means and standard deviations of latent variables and recreate existing rating-scale data.

## Installation
You can install the latest version using `devtools`:
Expand Down Expand Up @@ -291,7 +291,7 @@ new_items_F <- get_responses(n = nrow(items_F),
R = cor(items_F))
```

To compare the results, we can plot the correlations matrix with bar charts on the diagonal:
To compare the results, we can plot the correlation matrix with bar charts on the diagonal:
```{r agree_items_correlations_comparison, fig.align = 'center', out.width = "80%", echo = FALSE}
knitr::include_graphics("./figures/articles_agree_items_correlations_comparison-1.png")
```
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