plotConditional {MoTBFs} | R Documentation |
Plots for Conditional Functions
Description
Get the graphical result of an MoTBF conditional function of two variables, i.e. a parent and his child.
Usage
plotConditional(
conditionalFunction,
data,
nameChild = NULL,
points = FALSE,
color = NULL
)
Arguments
conditionalFunction |
the output of the conditionalMethod. A list with the the interval of the parent and the final MoTBF density function. |
data |
The dataset used. |
nameChild |
Name of the child variable in the conditional function. By default is |
points |
Logical value. If |
color |
By default |
Details
If the number of parents is bigger than one, then the message "It is not possible plotting the conditional function." is shown.
Value
A plot of the conditional function.
See Also
Examples
## Data
X <- rnorm(1000)
Y <- rnorm(1000, mean=X)
data <- data.frame(X=X,Y=Y)
cov(data)
## Conditional Learning
parent <- "X"
child <- "Y"
intervals <- 5
potential <- "MTE"
P <- conditionalMethod(data, nameParents=parent, nameChild=child,
numIntervals=intervals, POTENTIAL_TYPE=potential)
plotConditional(conditionalFunction=P, data=data)
plotConditional(conditionalFunction=P, data=data, points=TRUE)
[Package MoTBFs version 1.2 Index]