Description Usage Arguments Value Author(s) Examples

These functions are intended to compute from a `cont_table`

objects
covariation statistics, ie the covariance, the correlation
coefficient, variance decomposition and regression line.

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)
``` |

`data, object` |
a |

`...` |
further arguments. |

`x` |
the series for which the analyse of variance should be computed, |

`formula` |
symbolic description of the model, |

a numeric or a tibble

Yves Croissant

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)
``` |

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