| Extract.grouped.data {actuar} | R Documentation |
Extract or replace subsets of grouped data objects.
## S3 method for class 'grouped.data': x[i, j] ## S3 method for class 'grouped.data': x[i, j] <- value
x |
an object of class grouped.data. |
i, j |
elements to extract or replace. i, j are
numeric or character or, for [ only, empty.
Numeric values are coerced to integer as if by
as.integer. For replacement by [, a logical
matrix is allowed, but not replacement in the group boundaries and
group frequencies simultaneously. |
value |
a suitable replacement value. |
Objects of class "grouped.data" can mostly be indexed like data
frames, with the following restrictions:
[, the extracted object must keep a group
boundaries column and at least one group frequencies column to
remain of class "grouped.data";
[<-, it is not possible to replace group boundaries
and group frequencies simultaneously;
length(value) ==
length(i) + 1.
x[, 1] will return the plain vector of group boundaries.
Replacement of non adjacent group boundaries is not possible for obvious reasons.
Otherwise, extraction and replacement should work just like for data frames.
For [ an object of class "grouped.data", a data frame or a
vector.
For [<- an object of class "grouped.data".
Currently [[, [[<-, $ and $<- are not
specifically supported, but should work as usual on group frequency
columns.
Vincent Goulet vincent.goulet@act.ulaval.ca
[.data.frame for extraction and replacement methods of
data frames, grouped.data to create grouped data objects.
data(gdental) (x <- gdental[1]) # select column 1 class(x) # no longer a grouped.data object class(gdental[2]) # same gdental[, 1] # group boundaries gdental[, 2] # group frequencies gdental[1:4,] # a subset gdental[c(1, 3, 5),] # avoid this gdental[1:2, 1] <- c(0, 30, 60) # modified boundaries gdental[, 2] <- 10 # modified frequencies ## Not run: gdental[1, ] <- 2 # not allowed