R: Synthetic data using a dietary survey of patients with...

dietary_survey_IBS {ClusterR} | R Documentation

## Synthetic data using a dietary survey of patients with irritable bowel syndrome (IBS)

### Description

The data are based on the article "A dietary survey of patients with irritable bowel syndrome". The mean and standard deviation of the table 1 (Foods perceived as causing or worsening irritable bowel syndrome symptoms in the IBS group and digestive symptoms in the healthy comparative group) were used to generate the synthetic data.

### Usage

    data(dietary_survey_IBS)

### Format

A data frame with 400 Instances and 43 attributes (including the class attribute, "class")

### Details

The predictors are: bread, wheat, pasta, breakfast_cereal, yeast, spicy_food, curry, chinese_takeaway, chilli, cabbage, onion, garlic, potatoes, pepper, vegetables_unspecified, tomato, beans_and_pulses, mushroom, fatty_foods_unspecified, sauces, chocolate, fries, crisps, desserts, eggs, red_meat, processed_meat, pork, chicken, fish_shellfish, dairy_products_unspecified, cheese, cream, milk, fruit_unspecified, nuts_and_seeds, orange, apple, banana, grapes, alcohol, caffeine

The response variable ("class") consists of two groups: healthy-group (class == 0) vs. the IBS-patients (class == 1)

### References

P. Hayes, C. Corish, E. O'Mahony, E. M. M. Quigley (May 2013). A dietary survey of patients with irritable bowel syndrome. Journal of Human Nutrition and Dietetics.

### Examples

    data(dietary_survey_IBS)

    X = dietary_survey_IBS[, -ncol(dietary_survey_IBS)]

    y = dietary_survey_IBS[, ncol(dietary_survey_IBS)]

[Package ClusterR version 1.2.2 Index]