A Handbook of Statistical Analyses Using R (3rd Edition)

Vignettes

- An Introduction to R
- Chapter Analysis of Variance
- Chapter Analyzing Longitudinal Data I
- Chapter Analyzing Longitudinal Data II
- Chapter Bayesian Inference
- Chapter Cluster Analysis
- Chapter Conditional Inference
- Chapter Data Analysis using Graphical Displays
- Chapter Density Estimation
- Chapter Generalized Additive Models
- Chapter Logistic Regression and Generalized Linear Models
- Chapter Meta-Analysis
- Chapter Missing Values
- Chapter Multidimensional Scaling
- Chapter Principal Component Analysis
- Chapter Quantile Regression
- Chapter Recursive Partitioning
- Chapter Simple Inference
- Chapter Simultaneous Inference and Multiple Comparisons
- Chapter Survival Analysis
- Errata
- Multiple Linear Regression

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Description Usage Format Details Source Examples

Survey data on household expenditure on four commodity groups.

1 | ```
data("household")
``` |

A data frame with 40 observations on the following 5 variables.

`housing`

expenditure on housing, including fuel and light.

`food`

expenditure on foodstuffs, including alcohol and tobacco.

`goods`

expenditure on other goods, including clothing, footwear and durable goods.

`service`

expenditure on services, including transport and vehicles.

`gender`

a factor with levels

`female`

and`male`

The data are part of a data set collected from a survey of household expenditure and give the expenditure of 20 single men and 20 single women on four commodity groups. The units of expenditure are Hong Kong dollars,

FIXME

1 | ```
data("household", package = "HSAUR3")
``` |

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