IPV: IPV: A package to create Item Pool Visualizations

In NilsPetras/IPV: Item Pool Visualization

IPV: A package to create Item Pool Visualizations

Description

The IPV package provides the following functions.

Estimation function

ipv_est uses raw data to estimate the IPV models and pre-format their estimates for chart creation. This is the easiest and recommended Workflow.

Chart Functions

Chart functions create a ggplot2 object (the chart) and (optionally) a graphics file. There are three types of charts. item_chart facet_chart nested_chart

Input Functions

The input functions prepare existing model estimates for the chart functions. This is not recommended, if the raw data are available. Read in vectors containing model estimates from within R by using input_manual_simple, input_manual_nested) and input_manual_process. Read in model estimates via MS Excel files and input_excel.

Miscellaneous functions

The function item_overview creates a grid of bar plots showing the (squared) factor loadings of all items in all models underlying a nested chart. Use this to inspect the absolute values underlying the charts.

The function relabel enables quick changes of the labels for variables.

Basic Workflow

1. Prepare your raw data.

2. Generate the model estimates using the estimation function.

3. Select a chart function and use it with the estimates, a file name (.pdf), and otherwise default values.

4. Change the default values of the chart function arguments.

5. Check the chart's appearance by opening the created file (do not rely on the display of plots in R, results may differ).

6. Repeat until you are satisfied with the result.

NilsPetras/IPV documentation built on July 19, 2023, 9:12 p.m.