genTable | R Documentation |

`genTable`

creates a table of arbitrary summaries conditional on
given values of independent variables given by a formula.

`Aggregate`

does the same, but returns a `data.frame`

instead.

`fapply`

is a generic function that dispatches on its `data`

argument. It is called internally by `Aggregate`

and `genTable`

.
Methods for this function can be used to adapt `Aggregate`

and
`genTable`

to data sources other than data frames.

```
Aggregate(formula, data=parent.frame(), subset=NULL,
names=NULL, addFreq=TRUE, drop = TRUE, as.vars=1,
...)
genTable(formula, data=parent.frame(), subset=NULL,
names=NULL, addFreq=TRUE,...)
```

`formula` |
a formula. The right hand side includes one or more grouping variables separated by '+'. These may be factors, numeric, or character vectors. The left hand side may be empty, a numerical variable, a factor, or an expression. See details below. |

`data` |
an environment or data frame or an object coercable into a data frame. |

`subset` |
an optional vector specifying a subset of observations to be used. |

`names` |
an optional character vector giving names to the
result(s) yielded by the expression on the left hand side of |

`addFreq` |
a logical value. If |

`drop` |
a logical value. If |

`as.vars` |
an integer; relevant only if the left hand side of the formula returns an array or a matrix - which dimension (rows, columns, or layers etc.) will transformed to variables? Defaults to columns in case of matrices and to the highest dimensional extend in case of arrays. |

`...` |
further arguments, passed to methods or ignored. |

If an expression is given as left hand side of the formula, its
value is computed for any combination of values of the values on the
right hand side. If the right hand side is a dot, then all
variables in `data`

are added to the right hand side of the
formula.

If no expression is given as left hand side, then the frequency counts for the respective value combinations of the right hand variables are computed.

If a single factor is on the left hand side, then the left hand side is
translated into an appropriate
call to `table()`

. Note that also in this case `addFreq`

takes effect.

If a single numeric variable is on the left hand side, frequency
counts weighted by this variable are computed. In these cases,
`genTable`

is equivalent to `xtabs`

and
`Aggregate`

is equivalent to `as.data.frame(xtabs(...))`

.

`Aggregate`

results in a data frame with conditional summaries and unique value combinations
of conditioning variables.

`genTable`

returns a table, that is, an array with class `"table"`

.

aggregate.data.frame, xtabs

```
ex.data <- expand.grid(mu=c(0,100),sigma=c(1,10))[rep(1:4,rep(100,4)),]
ex.data <- within(ex.data,
x<-rnorm(
n=nrow(ex.data),
mean=mu,
sd=sigma
)
)
Aggregate(~mu+sigma,data=ex.data)
Aggregate(mean(x)~mu+sigma,data=ex.data)
Aggregate(mean(x)~mu+sigma,data=ex.data,name="Average")
Aggregate(c(mean(x),sd(x))~mu+sigma,data=ex.data)
Aggregate(c(Mean=mean(x),StDev=sd(x),N=length(x))~mu+sigma,data=ex.data)
genTable(c(Mean=mean(x),StDev=sd(x),N=length(x))~mu+sigma,data=ex.data)
Aggregate(table(Admit)~.,data=UCBAdmissions)
Aggregate(Table(Admit,Freq)~.,data=UCBAdmissions)
Aggregate(Admit~.,data=UCBAdmissions)
Aggregate(percent(Admit)~.,data=UCBAdmissions)
Aggregate(percent(Admit)~Gender,data=UCBAdmissions)
Aggregate(percent(Admit)~Dept,data=UCBAdmissions)
Aggregate(percent(Gender)~Dept,data=UCBAdmissions)
Aggregate(percent(Admit)~Dept,data=UCBAdmissions,Gender=="Female")
genTable(percent(Admit)~Dept,data=UCBAdmissions,Gender=="Female")
```

memisc documentation built on March 31, 2023, 7:29 p.m.

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