nlme (version 3.1-99)

gsummary: Summarize by Groups

Description

Provide a summary of the variables in a data frame by groups of rows. This is most useful with a groupedData object to examine the variables by group.

Usage

gsummary(object, FUN, omitGroupingFactor, form, level,
   groups, invariantsOnly, ...)

Arguments

object

an object to be summarized - usually a groupedData object or a data.frame.

FUN

an optional summary function or a list of summary functions to be applied to each variable in the frame. The function or functions are applied only to variables in object that vary within the groups defined by groups.

omitGroupingFactor

an optional logical value. When TRUE the grouping factor itself will be omitted from the group-wise summary but the levels of the grouping factor will continue to be used as the row names for the data frame that is produced by the

form

an optional one-sided formula that defines the groups. When this formula is given, the right-hand side is evaluated in object, converted to a factor if necessary, and the unique levels are used to define the groups. Defaults to <

level

an optional positive integer giving the level of grouping to be used in an object with multiple nested grouping levels. Defaults to the highest or innermost level of grouping.

groups

an optional factor that will be used to split the rows into groups. Defaults to getGroups(object, form, level).

invariantsOnly

an optional logical value. When TRUE only those covariates that are invariant within each group will be summarized. The summary value for the group is always the unique value taken on by that covariate within the group. The colum

...

optional additional arguments to the summary functions that are invoked on the variables by group. Often it is helpful to specify na.rm = TRUE.

Value

• A data.frame with one row for each level of the grouping factor. The number of columns is at most the number of columns in object.

References

Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer.

See Also

summary, groupedData, getGroups

Examples

gsummary(Orthodont)  # default summary by Subject
## gsummary with invariantsOnly = TRUE and omitGroupingFactor = TRUE
## determines whether there are covariates like Sex that are invariant
## within the repeated observations on the same Subject.
gsummary(Orthodont, inv = TRUE, omit = TRUE)