[R] Euclidean Distance in 3 Dimensions
David L Carlson
dcarlson at tamu.edu
Thu Aug 21 21:35:50 CEST 2014
The dist() function works just fine in 2d or 3d or 100d. Your description of what you want to accomplish is not clear. Your code compares rows 1 and 2, then 2 and 3, then 3 and 4, and so on. You are comparing only adjacent points, but your description makes it sound like you want to compare point 1 to all the other points and see if they are in the same group and over 8 or in another group. If you type the following command you will see that your dat$X is just the diagonal of the distance matrix: 1 with 2, 2 with 3, 3 with 4 etc:
dist(dat[, 3:5])
-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-project.org] On Behalf Of Don McKenzie
Sent: Thursday, August 21, 2014 1:44 PM
To: Patzelt, Edward
Cc: R-help at r-project.org
Subject: Re: [R] Euclidean Distance in 3 Dimensions
Ugh sorry. I misread your message obviously. Cc�ing back to the list (as is the protocol)
I�m surprised no one else has replied. I�m a lightweight compared to others on the list. It looks as if the dist() function has compiled code,
which suggests that there is some gnarly linear algebra underneath to speed it up even in 2D. Not for the faint-of-heart to hack.
Others? �dist3D�?
On Aug 21, 2014, at 11:34 AM, Patzelt, Edward <patzelt at g.harvard.edu<mailto:patzelt at g.harvard.edu>> wrote:
> This function unfortunately does not work in 3d space.
>
> Thoughts?
>
>
> On Wed, Aug 20, 2014 at 4:57 PM, Don McKenzie <dmck at u.washington.edu<mailto:dmck at u.washington.edu>> wrote:
> ?dist
>
> from the help
>
> dist {stats} R Documentation
> Distance Matrix Computation
>
> Description
>
> This function computes and returns the distance matrix computed by using the specified distance measure to compute the distances between the rows of a data matrix.
>
> Is this what you want? Computing on a matrix whose rows are your x, y, and z values?
>
>
> On Aug 20, 2014, at 1:12 PM, Patzelt, Edward <patzelt at g.harvard.edu<mailto:patzelt at g.harvard.edu>> wrote:
>
> > R Community -
> >
> > I am attempting to write a function that will calculate the distance
> > between points in 3 dimensional space for unique regions (e.g. localized
> > brain regions such as the frontal lobe).
> >
> > For example I'm looking to compare each point in region 45 to every other
> > region in 45 to establish if they are a distance of 8 or more apart. I can
> > do this linearly comparing each distance to the previous but this is not
> > comparing all points.
> >
> > structure(list(Cluster.Index = c(46L, 46L, 46L, 46L, 46L, 45L,
> > 45L, 45L, 45L, 45L, 44L, 44L, 44L, 44L, 44L, 43L, 43L, 43L, 43L,
> > 43L), Value = c(8.21, 7.96, 7.85, 7.83, 7.8, 5.38, 4.56, 4.5,
> > 4, 3.99, 5.42, 4.82, 4.21, 4.18, 3.91, 4.79, 4.27, 3.24, 3.06,
> > 3.04), x = c(33L, 38L, 37L, 36L, 38L, 47L, 42L, 43L, 44L, 42L,
> > 50L, 41L, 39L, 41L, 44L, 46L, 45L, 45L, 41L, 46L), y = c(15L,
> > 12L, 12L, 13L, 13L, 91L, 84L, 84L, 95L, 96L, 69L, 70L, 65L, 65L,
> > 59L, 41L, 40L, 46L, 44L, 47L), z = c(41L, 38L, 41L, 39L, 33L,
> > 39L, 40L, 42L, 44L, 45L, 34L, 36L, 30L, 35L, 39L, 53L, 47L, 61L,
> > 52L, 57L), X = c(NA, 6.557438524302, 3.16227766016838, 2.44948974278318,
> > 6.32455532033676, 78.7464284904401, 8.66025403784439, 2.23606797749979,
> > 11.2249721603218, 2.44948974278318, 30.2324329156619, 9.2736184954957,
> > 8.06225774829855, 5.3851648071345, 7.81024967590665, 22.8910462845192,
> > 6.16441400296898, 15.2315462117278, 10.0498756211209, 7.68114574786861
> > )), .Names = c("Cluster.Index", "Value", "x", "y", "z", "X"), row.names =
> > c(NA,
> > 20L), class = "data.frame")
> >
> > mainDat <- data.frame()
> > for(i in 2:nrow(dat)){
> > tempDist <- (sqrt((dat$x[i] - dat$x[i-1])^2 + (dat$y[i] - dat$y[i-1])^2 +
> > (dat$z[i] - dat$z[i-1])^2))
> > dat$X[i] <- c(tempDist)
> > if(dat$Cluster.Index[i] != dat$Cluster.Index[i-1]){
> > mainDat <- rbind(mainDat, dat[i,])
> > }
> > if((dat$Cluster.Index[i] == dat$Cluster.Index[i-1])) {
> > if(tempDist > 8){
> > mainDat <- rbind(mainDat, dat[i,])
> > }
> > }
> > }
> >
> >
> >
> >
> > --
> >
> > *Edward H Patzelt | Clinical Science PhD StudentPsychology | Harvard
> > University *
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help at r-project.org<mailto:R-help at r-project.org> mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> Don McKenzie
> Research Ecologist
> Pacific Wildland Fire Sciences Lab
> US Forest Service
>
> Affiliate Professor
> School of Environmental and Forest Sciences
> University of Washington
> dmck at uw.edu<mailto:dmck at uw.edu>
>
>
>
>
>
>
>
> --
> Edward H Patzelt | Clinical Science PhD Student
> Psychology | Harvard University
>
>
Don McKenzie
Research Ecologist
Pacific Wildland Fire Sciences Lab
US Forest Service
Affiliate Professor
School of Environmental and Forest Sciences
University of Washington
dmck at uw.edu<mailto:dmck at uw.edu>
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