cube-residuals {crunch} | R Documentation |

## Calculate standardized residuals from a CrunchCube

### Description

Standardized residuals, `(observed - expected) / sqrt(V)`

, where
`V`

is the residual cell variance (Agresti, 2007, section 2.4.5).
Special care is taken for multiple-response variables which are in effect a
series of separate tables where ‘not selected’ cells for each item are
are hidden.

### Usage

```
zScores(x)
## S4 method for signature 'CrunchCube'
zScores(x)
rstandard(model)
```

### Arguments

`x` |
A CrunchCube representing a contingency table |

`model` |
A CrunchCube representing a contingency table (for |

### Value

an array of standardized residuals or Z-scores from the hypothesis being tested. The default method is that the joint distributions of (weighted) counts are equal to the marginal distributions of the table.

### References

Agresti, A. (2007)
*An Introduction to Categorical Data Analysis, 2nd ed.*,
New York: John Wiley & Sons. Page 38.

### See Also

[Package

*crunch*version 1.30.4 Index]