# bivariate: Functions to compute statistics on bivariate distributions In descstat: Tools for Descriptive Statistics

## Description

These functions are intended to compute from a `cont_table` objects covariation statistics, ie the covariance, the correlation coefficient, variance decomposition and regression line.

## Usage

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17``` ```covariance(data, ...) correlation(data, ...) ## S3 method for class 'cont_table' covariance(data, ...) ## S3 method for class 'cont_table' correlation(data, ...) ## S3 method for class 'cont_table' anova(object, x, ...) ## S3 method for class 'anova.cont_table' summary(object, ...) regline(formula, data) ```

## Arguments

 `data, object` a `cont_table` object, `...` further arguments. `x` the series for which the analyse of variance should be computed, `formula` symbolic description of the model,

## Value

a numeric or a tibble

Yves Croissant

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10 11 12 13 14``` ```# the covariance and the linear correlation coefficient are # computed using only the `cont_table` # First reduce the number of bins wages2 <- wages %>% dplyr::mutate(size = cut(as_bin(size), c(20, 50, 100)), wage = cut(as_bin(wage), c(10, 30, 50))) wages2 %>% cont_table(wage, size) %>% covariance wages2 %>% cont_table(wage, size) %>% correlation # For the analyse of variance, one of the two series should be # indicated wages2 %>% cont_table(wage, size) %>% anova(wage) wages2 %>% cont_table(wage, size) %>% anova(wage) %>% summary # For the regression line, a formula should be provided wages2 %>% cont_table(wage, size) %>% regline(formula = wage ~ size) ```

descstat documentation built on Feb. 17, 2021, 5:07 p.m.