has_tdc: Extract time-dependent covariates from data set
In adibender/ped: What the Package Does (One Line, Title Case)
Description
Usage
Arguments
Value
Description
For all covariates in the data set, this functions checks if the values
of the covariate changes per ID or other grouping variable. Returns the names
of variables that change over time.
Usage
1
Arguments
data
A data frame (potentially) containing time-dependent covariates.
id_var
A character indicating the grouping variable. For each covariate
it will be checked if their values change within a group specified by
id_var.
Value
A character vector containing names of variables that are not constant
in each group (id_var).
adibender/ped documentation built on Dec. 16, 2019, 12:33 a.m.
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Description Usage Arguments Value
Description
For all covariates in the data set, this functions checks if the values of the covariate changes per ID or other grouping variable. Returns the names of variables that change over time.
Usage
1 |
Arguments
data |
A data frame (potentially) containing time-dependent covariates. |
id_var |
A character indicating the grouping variable. For each covariate
it will be checked if their values change within a group specified by
|
Value
A character vector containing names of variables that are not constant
in each group (id_var).
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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