complete_data | R Documentation |
This function allows you to define a minimum number of waves/periods and exclude all individuals with fewer observations than that.
complete_data(data, ..., formula = NULL, vars = NULL, min.waves = "all")
data |
A |
... |
Optionally, unquoted variable names/expressions separated by
commas to be passed to |
formula |
A formula, like the one you'll be using to specify your model. |
vars |
As an alternative to formula, a vector of variable names. |
min.waves |
What is the minimum number of observations to be kept?
Default is |
If ...
(that is, unquoted variable name(s)) are included, then formula
and vars
are ignored. Likewise, formula
takes precedence over vars
.
These are just different methods for selecting variables and you can choose
whichever you prefer/are comfortable with. ...
corresponds with the
"tidyverse" way, formula
is useful for programming or working with
model formulas, and vars
is a "standard" evaluation method for when you
are working with strings.
A panel_data
frame.
data("WageData")
wages <- panel_data(WageData, id = id, wave = t)
complete_data(wages, wks, lwage, min.waves = 3)
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