Dear R-community,
I am totally lost and need help.
For a Visualization I need to plot two regressions in the same plot. The
intention is to provide a visual basis for a synthesized theoretical
discussion.
1.) fixed.1<-plm(CSmean~ FCRlong, data = data.plm, index =
c("countrynr","quartal"),model = "within")
2.) fixed.2<-plm(FCRlong ~ GDP+ GDPpCapita+ budget+ percentDebt+
primSurplus
+Inflation+lagBY,
data = data.plm, index = c("countrynr","quartal"),model =
"within"
Usually I would do
>plot(data.plm$ FCRlong,data.plm$BY,ylim = c(0,20))
>abline(fixed.1)
>abline(fixed.2)
For Regression Number one, fixed.1, it´s easy, because I have only two
Dimensions, but here I need to do a parallel shift by adding an average
Value, say 4, (to solve for CSmean to BY)
So loosely speaking, I want to plot fixed.1+4 ? What shall I do in this
case?
Second, in Regression fixed.2 I have a Hyperplane, but for a synthesized
general discussion the exogeneous variables, except lagBY, shall be set to
their average values
in the panel-dataset. With this restriction I am able to plot Regression 2
in the two-dimensional-plot as well.
But I am not even sure how to reconstruct this by a code?
I unfortunately can´t give you an reproduceable example,
But any suggestions or hints or just a link to a similar problem would be
helpful
Thank you!
Katie
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