Description Usage Arguments Value Author(s) See Also Examples
tcctomat
creates an object of class, tccov
, from a
vector or matrix containing timeconstant or interindividual baseline
covariates or a model formula. It can also combine two such objects.
Such objects can be printed. Methods are available for extracting the
covariates, their names, and the formula: covariates
,
names
, and formula
. The method,
transform
, can transform variables in place or by adding
new variables to the object.
To obtain the indexing to expand timeconstant or interindividual
covariates to the size of a repeated measurements response, use
covind
.
1 2 
ccov 
A vector, matrix, or dataframe containing timeconstant or
interindividual baseline covariates with one row per individual, a
model formula using vectors of the same size, or an object of class,

units 
Optional character vector specifying units of measurements of covariates. 
names 
The names of the covariates (if the matrix does not have column names). 
oldccov 
An object of class, 
dataframe 
If TRUE and factor variables are present, the covariates are stored as a dataframe; if FALSE, they are expanded to indicator variables. If no factor variables are present, covariates are always stored as a matrix. 
description 
An optional named list of character vectors with names of some or all covariates containing their descriptions. 
Returns an object of class, tccov
, containing one matrix or
dataframe for the covariates (z$ccov
) with one row per
individual and possibly the model formula (z$linear
).
J.K. Lindsey
DataMethods
, covariates
,
description
, formula
,
lvna
, names
,
restovec
, rmna
,
transform
, tvctomat
,
units
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18  x1 < gl(4,1)
print(tcc1 < tcctomat(~x1))
covariates(tcc1)
covariates(tcc1, name="x12")
tcctomat(x1)
tcctomat(x1, dataframe=FALSE)
x2 < c(0,0,1,1)
print(tcc2 < tcctomat(~x2, units="days"))
covariates(tcc2)
print(tcc3 < tcctomat(~x1+x2))
covariates(tcc3)
covariates(tcc3, names=c("x12","x2"))
formula(tcc3)
names(tcc3)
print(tcc4 < tcctomat(data.frame(x1,x2), units=c(NA,"days")))
covariates(tcc4)
print(tcc5 < tcctomat(data.frame(x1,x2), dataframe=FALSE, units=c(NA,"days")))
covariates(tcc5)

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