make.grid: Create a data frame of predictors to display a model
In gmonette/spida2: Collection of tools developed for the Summer Programme in Data Analysis 2000-2012
make.grid R Documentation
Create a data frame of predictors to display a model
Description
Generates the cartesian product of factors and ranges
of continuous variables in a model.
Usage
make.grid(mod, n = 50, dmax = 5)
Arguments
mod
a model from which a model data frame can be
extracted with getModelData.
n
number of values generated for continuous predictors. Default: 50
dmax
maximum number of distinct values for a numeric variable
to be considered discrete. Default: 5
Details
This function is particularly useful to display fitted values
of a model that is non-linear in continuous predictors where
plotting curves against the original data would produce
linear segments instead of a continuous curve.
By default, 50 values of each continuous variable is
generated. See the examples to generate fewer values.
Variables are considered discrete if the have fewer than
discrete_max distinct values.
Value
a data frame with every combination of the values generated
for each variable.
gmonette/spida2 documentation built on Aug. 20, 2023, 7:21 p.m.
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| make.grid | R Documentation |
Create a data frame of predictors to display a model
Description
Generates the cartesian product of factors and ranges of continuous variables in a model.
Usage
make.grid(mod, n = 50, dmax = 5)
Arguments
mod |
a model from which a model data frame can be
extracted with |
n |
number of values generated for continuous predictors. Default: 50 |
dmax |
maximum number of distinct values for a numeric variable to be considered discrete. Default: 5 |
Details
This function is particularly useful to display fitted values of a model that is non-linear in continuous predictors where plotting curves against the original data would produce linear segments instead of a continuous curve.
By default, 50 values of each continuous variable is generated. See the examples to generate fewer values.
Variables are considered discrete if the have fewer than discrete_max distinct values.
Value
a data frame with every combination of the values generated for each variable.
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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