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mantar (version 0.2.0)

mantar_dummy_data: Dummy data sets for illustration purposes in the mantar package

Description

These simulated data sets are provided for illustration purposes. They are based on a sparse psychological network structure with a single underlying construct. The column names represent core properties of neuroticism but are purely made up to make the example more illustrative.

Arguments

Format

All data sets are data frames with 400 rows and 8 columns. The columns are:

EmoReactivity

Tending to feel emotions strongly in response to life events.

TendWorry

Being more likely to feel concerned or uneasy.

StressSens

Feeling more stressed in challenging or uncertain situations.

SelfAware

Being conscious of one’s own feelings and how they shift.

Moodiness

Experiencing occasional changes in mood.

Cautious

Being careful and thinking ahead about possible negative outcomes.

ThoughtFuture

Reflecting on what might go wrong and preparing for it.

RespCriticism

Being affected by others’ feedback or disapproval.

Details

The following data sets are available:

  • mantar_dummy_full_cont: A complete data set of continuous variables without missing values.

  • mantar_dummy_mis_cont: A data set of continuous variables with approximately 30% missing values in each column.

  • mantar_dummy_full_cat: A complete data set where variables are ordered categorical without missing values.

  • mantar_dummy_mis_cat: A data set where variables are ordered categorical with approximately 25% missing values in each column.

  • mantar_dummy_full_mix: A complete data set with a mix of continuous and ordered categorical variables without missing values.

  • mantar_dummy_mis_mix: A data set with a mix of continuous and ordered categorical variables with approximately 25% missing values in each column.

Examples

Run this code
# Load selected data set
data(mantar_dummy_full_cont)
data(mantar_dummy_mis_cont)

# View the first few rows of selected data sets
head(mantar_dummy_full_cont)
head(mantar_dummy_mis_cont)

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