AppliedPredictiveModeling (version 1.1-4)

concrete: Compressive Strength of Concrete from Yeh (1998)

Description

Yeh (1998) describes a collection of data sets from different sources that can be used for modeling the compressive strength of concrete formulations as a functions of their ingredients and age.

Usage

data(concrete)

Value

• concrete
  data frame of data with predictor columns Cement, BlastFurnaceSlag, FlyAsh, Water, Superplasticizer, CoarseAggregate, FineAggregate and Age with response column CompressiveStrength. These are the amounts.
• mixtures
  The same data where all the ingredients have been converted to proportions of the total amounts.

source

Yeh, I. C. (1998). Modeling of strength of high-performance concrete using artificial neural networks. Cement and Concrete Research, 28(12), 1797-1808. Elsevier.

Details

The data are from Yeh (1998) and taken from the UCI ML website http://archive.ics.uci.edu/ml/datasets/Concrete+Compressive+Strength.

There are 1030 data points from the UCI website, but the paper states that approximately 1,000 samples were made, but only 727 were analyzed in the source material. It is unclear which samples were excluded.

Examples

data(concrete)

library(caret)

### Split used in the book:
set.seed(975)
inTrain <- createDataPartition(mixtures$CompressiveStrength, p = 3/4)[[1]]
training <- mixtures[ inTrain,]
testing  <- mixtures[-inTrain,]