linearModel {Rcmdr} | R Documentation |
Rcmdr Linear Model Dialog
Description
This dialog is used to specify a linear model to be fit by the lm
function.
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.
See lm
for details.
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 selected) or to the right-hand side. You can also enter operators and parentheses using the buttons
above the formula. If you select several variables in the variable-list box, clicking on the
+
, *
, or :
button will enter them into the model formula.
Specifying a subset expression allows you to fit the model to a subset of observations
in the active data set. For example, assuming that gender
is a variable in the
active data set, entering gender == "Male"
would restrict the model to males.
The weights box allows you to perform weight-least-squares (WLS) regression; select a weight variable from the drop-down list. Click in the weights combo box to see a list of numeric variables in the current data set; type a letter in the box to move the selection cursor to the next variable beginning with that letter.
There is an optional case-deletion box, whose presence is controlled by the model.case.deletion
R Commander option (see Commander
). Typing the row numbers (e,g., 6 16
) or row names (e.g., minister conductor
) of cases to be deleted removes these cases from the fitted linear model. Row names with embedded blanks must be quoted (e.g., "railroad engineer"
), in which case all row names specified should be quoted (e.g., "railroad engineer" "minister"
). You cannot specify both a subset expression and case deletion.
If the active model is a linear model and the active data set has not changed, then the initial values of the left-hand-side, right-hand-side, weights, and subset fields are retained from the previous model.
Author(s)
John Fox jfox@mcmaster.ca