| Menu.linearModelDesign {RcmdrPlugin.DoE} | R Documentation |
RcmdrPlugin.DoE Linear Model Dialog for experimental data
Description
This dialog is used to specify a linear model to be fit by the lm function.
Usage
Menu.linearModelDesign(response = NULL)
Arguments
response |
response to apply the linear model to |
Details
The left model-formula box specifies the response variable to be used in the model; it
may be a variable name or an expression evaluating to the response variable, such as
log(income).
The right model-formula box specifies the right-hand (i.e., predictor) side of the model.
If you are interested in the details, see lm.
You can type directly in the model formula boxes. Alternatively, double-clicking the left mouse button on a variable in the variable-list transfers it to the left-hand side of the model (if it is empty) or to the right-hand side. You can also enter operators and parentheses using the buttons above the formula.
For regular 2-level fractional factorial experiments, initially one often wants to look at all
interactions up to a certain degree (e.g. 2 or 3). This is possible by selecting the degree of the
model from the drop-down menu. For (half) normal plots of the effects, choose the degree high enough that
there are nruns-1 effects in the plot.
If the active model is from this box or could have come from this box, the initial values of the left-hand-side and right-hand-side of the formula are retained from the previous model.
Author(s)
Ulrike Groemping, adapted to this situation from menu by John Fox