Description Usage Arguments Details Examples
Like a derivative or finite-difference
1 2 |
model |
the model from which the effect size is to be calculated |
formula |
a formula whose right-hand side is the variable with respect to which the effect size is to be calculated. |
step |
the numerical stepsize for the change var, or a comparison category for a categorical change var. This will be either a character string or a number, depending on the type of variable specified in the formula. |
bootstrap |
If |
to |
a synonym for step. (In English, "to" is more appropriate for a categorical input, "step" for a quantitative. But you can use either.) |
data |
Specifies exactly the cases at which you want to calculate the effect size.
Unlike |
at |
similar to |
... |
additional arguments for evaluation levels of explanatory
variables or to be passed to |
When you want to force or restrict the effect size calculation to specific values for
explanatory variables, list those variables and levels as a vector in ...
For example, educ = c(10, 12, 16)
will cause the effect size to be calculated
at each of those three levels of education. Any variables whose levels are not specified in
... will have values selected automatically.
1 2 3 4 5 6 | mod1 <- lm(wage ~ age * sex * educ + sector, data = mosaicData::CPS85)
effect_size(mod1, ~ sex)
effect_size(mod1, ~ sector)
effect_size(mod1, ~ age, sex = "M", educ = c(10, 12, 16), age = c(30, 40))
effect_size(mod1, ~ age, sex = "F", age = 34, step = 1)
effect_size(mod1, ~ sex, age = 35, sex = "M", to = "F" )
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