DAintfun | R Documentation |
Makes surface plots to display interactions between two continuous variables
DAintfun(
obj,
varnames,
theta = 45,
phi = 10,
xlab = NULL,
ylab = NULL,
zlab = NULL,
adjustY = 0,
plot = TRUE,
hcols = NULL,
...
)
obj |
A model object of class |
varnames |
A two-element character vector where each element is the name of a variable involved in a two-way interaction. |
theta |
Angle defining the azimuthal viewing direction to be passed to
|
phi |
Angle defining the colatitude viewing direction to be passed to
|
xlab |
Optional label to put on the x-axis, otherwise if |
ylab |
Optional label to put on the y-axis, otherwise if |
zlab |
Optional label to put on the z-axis, otherwise if |
adjustY |
Scalar indicating a constant that should be added to all of fitted values. Defaults to 0. |
plot |
Logical indicating whether the plot should be returned. If
|
hcols |
Vector of four colors to color increasingly high density areas |
... |
Other arguments to be passed down to the initial call to
|
This function makes a surface plot of an interaction between two continuous
covariates. If the model is
y_{i} = b_{0} + b_{1}x_{i1} +
b_{2}x_{i2} + b_{3}x_{i1}\times x_{i2} + \ldots + e_{i},
this function plots b_{1}x_{i1}
+ b_{2}x_{i2} + b_{3}x_{i1}\times x_{i2}
for
values over the range of X_{1}
and X_{2}
. The highest
75%, 50% and 25% of the bivariate density of X_{1}
and
X_{2}
(as calculated by sm.density
from the sm
package) are colored in with colors of increasing gray-scale.
x1 |
Values of the first element of |
x2 |
Values of the second element of |
pred |
The predictions based on the values
|
graph |
A graph is produced, but no other information is returned. |
Dave Armstrong
data(InteractionEx)
mod <- lm(y ~ x1*x2 + z, data=InteractionEx)
DAintfun(mod, c("x1", "x2"))
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