cg-stats | R Documentation |

`CGstats`

provides what corresponds to calling
`cow.wt`

on different strata of data where the strata are defined by
the combinations of factors in data.

```
CGstats(object, varnames = NULL, homogeneous = TRUE, simplify = TRUE)
```

`object` |
A dataframe. |

`varnames` |
Names of variables to be used. |

`homogeneous` |
Logical; if TRUE a common covariance matrix is reported. |

`simplify` |
Logical; if TRUE the result will be presented in a simpler form. |

A list whose form depends on the type of input data and the varnames.

Søren Højsgaard, sorenh@math.aau.dk

`cov.wt`

```
data(milkcomp)
# milkcomp <- subset(milkcomp, (treat %in% c("a", "b")) & (lactime %in% c("t1", "t2")))
# milkcomp <- milkcomp[,-1]
# milkcomp$treat <- factor(milkcomp$treat)
# milkcomp$lactime <- factor(milkcomp$lactime)
CGstats(milkcomp)
CGstats(milkcomp, c(1, 2))
CGstats(milkcomp, c("lactime", "treat"))
CGstats(milkcomp, c(3, 4))
CGstats(milkcomp, c("fat", "protein"))
CGstats(milkcomp, c(2, 3, 4), simplify=FALSE)
CGstats(milkcomp, c(2, 3, 4), homogeneous=FALSE)
CGstats(milkcomp, c(2, 3, 4), simplify=FALSE, homogeneous=FALSE)
```

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