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

Number of suicides in different age groups and countries.

1 | ```
data("suicides2")
``` |

A data frame with 15 observations on the following 5 variables.

`A25.34`

number of suicides (per 100000 males) between 25 and 34 years old.

`A35.44`

number of suicides (per 100000 males) between 35 and 44 years old.

`A45.54`

number of suicides (per 100000 males) between 45 and 54 years old.

`A55.64`

number of suicides (per 100000 males) between 55 and 64 years old.

`A65.74`

number of suicides (per 100000 males) between 65 and 74 years old.

Each of the numbers gives the number of suicides per 100000 male inhabitants of the countries given by the row names.

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