What do you mean by "full output result"? The ANOVA table? If so, try
summary(lm(regression model)).

Cheers,
Roman



On Thu, Sep 20, 2012 at 11:06 AM, Idowu, Oluseun S. (UMKC-Student) <
oluseun.idowu@mail.umkc.edu> wrote:

> Please, does anyone know what I need to do - my call lm(regression model)
> is not giving the full output result. Thanks in advance
>
> Sam
>
>
>
>
> On 9/20/12 2:13 AM, "Ross Dwyer" <ross.dwyer@uq.edu.au> wrote:
>
> >Hi Tony,
> >
> >I just stumbled on this link in the archive which will convert
> >SpatialPolygons to a SpatialLines object. Once converted the km()
> >function should work for you.
> >
> >
> http://r-sig-geo.2731867.n2.nabble.com/SpatialPolygons-to-SpatialLines-td6
> >670180.html
> >
> >Ross
> >
> >
> >
> >-----Original Message-----
> >From: r-sig-geo-bounces@r-project.org
> >[mailto:r-sig-geo-bounces@r-project.org] On Behalf Of Ross Dwyer
> >Sent: Thursday, 20 September 2012 12:03 PM
> >To: Anthony Fischbach; r-sig-geo@r-project.org
> >Subject: Re: [R-sig-Geo] coerce SpatialPolygonsDataFrame to
> >SpatialLinesDataFrame for plotKML
> >
> >Hi Tony,
> >
> >If all you want to do is export a .kml with fully transparent vertices,
> >try the writeOGR function in the rgdal package...
> >
> >ver <- getverticeshr(ud, percent=ct)  ## extract the home-range contours
> >writeOGR(ver, dsn="my file name.kml", layer= "myvertices", driver="KML",
> >dataset_options=c("NameField=ct")) #where ct is a column in your spdf.
> >
> >However I'm unsure how to specify the colour here - the default border
> >colour is red and writeOGR doesn't seem to have the option to alter the
> >output colour.
> >
> >Alternatively, try the kml() function in the plotKML package. However
> >this will only generate a 'filled' rather than a 'border-only' polygon.
> >
> >Sorry I can't be more help!
> >
> >Cheers,
> >Ross
> >
> >Dr Ross Dwyer | University of Queensland | Email: ross.dwyer@uq.edu.au
> >
> >-----Original Message-----
> >From: r-sig-geo-bounces@r-project.org
> >[mailto:r-sig-geo-bounces@r-project.org] On Behalf Of Anthony Fischbach
> >Sent: Thursday, 20 September 2012 8:57 AM
> >To: r-sig-geo@r-project.org
> >Subject: [R-sig-Geo] coerce SpatialPolygonsDataFrame to
> >SpatialLinesDataFrame for plotKML
> >
> >For purposes of sharing data in a form that may be visualized on
> >shipboard chart plotters, I wish to export contours as a KML(or KMZ) of
> >lines with a color corresponding to a contour level.
> >I have generated the contours as SpatialPolygonsDataFrame from kernel
> >density estimators in adehabitatHR.
> >
> >Is there a handy means to coerce the outlines SpatialPolygonsDataFrame
> >into a SpatialLinesDataFrame object to facilitate this KML/KMZ export?
> >
> >#########################################################
> >### Here is a toy example of what I wish to have
> >
> >require(adehabitatHR)
> >data(puechabonsp)                   ## load animal movement data
> >loc <- puechabonsp$relocs
> >(ud <- kernelUD(loc[,1]))           ## estimate utilization distribution
> >ct <- 95                                 ## Specify the contour level
> >ver <- getverticeshr(ud, percent=ct)  ## extract the home-range contours
> >class(ver)                               ## this produces a
> >SpatialPolygonsDataFrame object
> >#### Here I want to export the home range as a line into a KML/KMZ file
> >#### I want a function that will do this
> >ver.sLinesdf<-coerceToSpatialLinesDataFrame(ver)
> >class(ver.sLinesdf)                    ## returns SpatialLinesDataFrame
> >plotKML(ver.sLinesdf, colour=ct)  ## Generate KMZ and color using the
> >contour level
> >
> >#########################################################
> >
> >
> >
> >-----
> >Tony Fischbach, Wildlife Biologist
> >Walrus Research Program
> >Alaska Science Center
> >U.S. Geological Survey
> >4210 University Drive
> >Anchorage, AK 99508-4650
> >
> >AFischbach@usgs.gov
> >http://alaska.usgs.gov/science/biology/walrus
> >--
> >View this message in context:
> >
> http://r-sig-geo.2731867.n2.nabble.com/coerce-SpatialPolygonsDataFrame-to-
> >SpatialLinesDataFrame-for-plotKML-tp7580986.html
> >Sent from the R-sig-geo mailing list archive at Nabble.com.
> >
> >_______________________________________________
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> >R-sig-Geo@r-project.org
> >https://stat.ethz.ch/mailman/listinfo/r-sig-geo
> >
> >_______________________________________________
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> >
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> >
>
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-- 
In God we trust, all others bring data.

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