Description Usage Arguments Details Value Author(s) See Also Examples

`colDevs`

calculates the column deviations of data values from
a central value (mean, median, etc.), possibly stratified by a grouping variable.

Conceptually, the function is similar to a column-wise `sweep`

,
by group, allowing an arbitrary `center`

function.

1 |

`x` |
A numeric data frame or matrix. |

`group` |
A factor (or variable that can be coerced to a factor) indicating
the membership of each observation in |

`center` |
A function used to center the values (for each group if |

`...` |
Arguments passed down |

Non-numeric columns of `x`

are removed, with a warning.

A numeric matrix containing the deviations from the centering function.

Michael Friendly

`colMeans`

for column means,

1 2 3 4 5 6 7 8 9 10 11 | ```
data(iris)
Species <- iris$Species
irisdev <- colDevs(iris[,1:4], Species, mean)
irisdev <- colDevs(iris[,1:4], Species, median)
# trimmed mean, using an anonymous function
irisdev <- colDevs(iris[,1:4], Species, function(x) mean(x, trim=0.25))
# no grouping variable: deviations from column grand means
# include all variables (but suppress warning for this doc)
irisdev <- suppressWarnings( colDevs(iris) )
``` |

```
Loading required package: car
Loading required package: carData
```

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