R Dataset / Package Stat2Data / CrackerFiber

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How To Create a Plot

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How to Compute the Median

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Embed
<iframe src="https://embed.picostat.com/r-dataset-package-stat2data-crackerfiber.html" frameBorder="0" width="100%" height="307px" />
Attachment Size
dataset-99931.csv 971 bytes
Dataset License
GNU General Public License v2.0
Documentation License
GNU General Public License v2.0
Dataset Help

On this Picostat.com statistics page, you will find information about the CrackerFiber data set which pertains to Cracker Fiber in Diets. The CrackerFiber data set is found in the Stat2Data R package. You can load the CrackerFiber data set in R by issuing the following command at the console data("CrackerFiber"). This will load the data into a variable called CrackerFiber. If R says the CrackerFiber data set is not found, you can try installing the package by issuing this command install.packages("Stat2Data") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the CrackerFiber R data set. The size of this file is about 971 bytes.

Documentation

Cracker Fiber in Diets

Description

Digested calories with different types of fiber in crackers

Format

A dataset with 48 observations on the following 3 variables.

Subj ID for the subject
Fiber Type of fiber: bran, combo, control, or gum
Calories Digested calories

Details

Twelve female subjects were fed a controlled diet, with crackers before every meal. There were four different kinds of crackers: control, bran fiber, gum fiber, and a combination of both bran and gum fiber. Over the course of the study, each subject ate all four kinds of crackers, one kind at a time, for a stretch of several days. The order was randomized. The response is the number of digested calories, measured as the difference between calories eaten and calories passed through the system.

Source

Subset of the data at http://lib.stat.cmu.edu/DASL/Datafiles/Fiber.html, originally distributed with with the Data Desk software package.

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Dataset imported from https://www.r-project.org.

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