[R-sig-Geo] Variable importance bar plot
Enoch Gyamfi Ampadu
eg@mp@du @end|ng |rom gm@||@com
Tue Oct 29 18:17:45 CET 2019
Thank you for getting in touch and providing a suggestion. I have checked
but that is not what want actually.
I want to have a vertical bar plot depicting how each variable contrite to
predicting the class. I used 8 bands of landsat image. So let's say if one
of the land cover class to be Built up, I want to have bar plots in
ranking order of the bands to enable me compare their importance in
predicting the land cover class. I don't know if this explains what I want
Enoch Gyamfi - Ampadu
email: egampadu using gmail.com
The highest sense of nobility is self control.
A simple act of kindness creates endless ripple
On Tue, 29 Oct 2019, 16:51 Sarah Goslee, <sarah.goslee using gmail.com> wrote:
> It's not entirely clear to me how you expect the values to be
> calculated, but you might look at partial dependence plots, for
> example as implemented in the pdp package.
> On Sun, Oct 27, 2019 at 6:00 AM Enoch Gyamfi Ampadu <egampadu using gmail.com>
> > Dear List,
> > I hope this finds you well. Please I have done a Land cover
> > using randomForest. I used selected satellite image bands as input
> > variables. I have four thematic classes. I obtained the general variable
> > importance using *varImpPlot (my model) . *Now I want to have bar chart
> > plot showing each thematic class and the variable importance for each
> > class. That is, how each band is ranked in predicting a thematic class. I
> > tried using this function:
> > *importance = varImp(my model, scale= TRUE)*
> > *plot (importance. *
> > However it did not work. I tried to put in *geom= "bar*". And I had
> > Please I will be glad to get some assistance.
> > Thank you.
> > Best regards,
> > Enoch
> Sarah Goslee (she/her)
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