| IPV {IPV} | R Documentation |
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
Prepare your raw data.
Generate the model estimates using the estimation function.
Select a chart function and use it with the estimates, a file name (.pdf), and otherwise default values.
-
Change the default values of the chart function arguments.
Check the chart's appearance by opening the created file (do not rely on the display of plots in R, results may differ).
Repeat until you are satisfied with the result.