contour.rsm.lm(rsm.object, vary, granularity = 50, ... )
rsm.lm
.
rsm.object
, that
determines which two factors are varied on the x and y axes while the
remaining factors are held constant. The components corresponding
to the factors to be varied are assigned the value
"v"
, while
the remaining components are assigned either an explicit numeric
value or the value
"c"
to indicate that the factor is to be held
constant at its center point. (If a variable is omitted from
the list,
"c"
is assumed.) By default, the first two factors
in
rsm.object
are varied.
contour.default
.
This function is a method for the generic function for class rsm.lm. It can be invoked by calling for an object x of the appropriate class, or directly by calling regardless of the class of the object.
ab.rsm <- rsm.lm(abrsm.df) contour(ab.rsm) sda.od.rsm <- rsm.lm(sda.df) contour(sda.od.rsm, levels = c(20,30,40,50,60), vary = list(Hinc.II = 'v', time = 'v')) contour(sda.od.rsm, vary = list(Hinc.II = 'v', Exo.Klenow = 'v', time = 3))