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

Data on sex differences in the age of onset of schizophrenia.

1 | ```
data("schizophrenia")
``` |

A data frame with 251 observations on the following 2 variables.

`age`

age at the time of diagnosis.

`gender`

a factor with levels

`female`

and`male`

A sex difference in the age of onset of schizophrenia was noted by Kraepelin (1919). Subsequently epidemiological studies of the disorder have consistently shown an earlier onset in men than in women. One model that has been suggested to explain this observed difference is know as the subtype model which postulates two type of schizophrenia, one characterised by early onset, typical symptoms and poor premorbid competence, and the other by late onset, atypical symptoms, and good premorbid competence. The early onset type is assumed to be largely a disorder of men and the late onset largely a disorder of women.

E. Kraepelin (1919), *Dementia Praecox and Paraphrenia*.
Livingstone, Edinburgh.

1 2 | ```
data("schizophrenia", package = "HSAUR3")
boxplot(age ~ gender, data = schizophrenia)
``` |

HSAUR3 documentation built on May 29, 2018, 1:06 a.m.

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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