R/fitGE.R

Defines functions fitGE

Documented in fitGE

fitGE <- function( expr, x, y, ini.val, m = 1, simpver = NULL, 
           nval = nval, control = list(), par.list = FALSE, 
           stand.fig = TRUE, angle = NULL, fig.opt = FALSE, np = 2000,
           xlim = NULL, ylim = NULL, unit = NULL, main = NULL ){

    if(length(x)!=length(y)) 
        stop("'x' should have the same data length as 'y'!")
    Tem <- cbind(x, y)
    Tem <- na.omit(Tem)
    x   <- Tem[,1]
    y   <- Tem[,2]  

    ini.val <- as.list(ini.val)
    p       <- length(ini.val)
    s       <- 1
    for (i in 1:p) {
        s <- s * length(ini.val[[i]])
    }
    ini.val <- expand.grid(ini.val)
    mat     <- matrix(NA, nrow = s, ncol = (p + 1))
    x.obs   <- x
    y.obs   <- y

    obj.fun <- function(z){
        x0      <- z[1]
        y0      <- z[2]
        theta   <- z[3]
        x.obs   <- x.obs - x0
        y.obs   <- y.obs - y0
        x.temp  <- x.obs*cos(theta) + y.obs*sin(theta)
        y.temp  <- y.obs*cos(theta) - x.obs*sin(theta)
        x.obs   <- x.temp
        y.obs   <- y.temp
        r.obs   <- sqrt( x.obs^2 + y.obs^2 )
        phi.obs <- acos(x.obs/r.obs)
        cond1   <- y.obs >= 0
        cond2   <- y.obs <  0
        xx1     <- x.obs[cond1]
        xx2     <- x.obs[cond2]     
        yy1     <- y.obs[cond1] 
        yy2     <- y.obs[cond2]  
        phi1    <- phi.obs[cond1]  
        phi2    <- 2*pi - phi.obs[cond2]
        phi.obs <- c(phi1, phi2) 
        x.obs   <- c(xx1, xx2)
        y.obs   <- c(yy1, yy2)
        resu    <- sort(phi.obs, decreasing = FALSE, index.return= T )
        phi.obs <- resu$x
        Index   <- resu$ix
        x.obs   <- x.obs[Index]
        y.obs   <- y.obs[Index]
        r.obs   <- sqrt( x.obs^2 + y.obs^2 )
        r.theo  <- expr(P=z[4:p], phi=phi.obs, m=m, simpver=simpver, nval=nval) 
        x.theo  <- r.theo*cos(phi.obs)
        y.theo  <- r.theo*sin(phi.obs) 
        return( sum( (r.obs - r.theo)^2 ) )       
    }  

    for (i in 1:nrow(ini.val)) {
        res <- optim(ini.val[i, ], obj.fun, control = control)
        mat[i, ] <- c(res$par, res$val)
    }

    Names <- rep(NA, len = p)
    for (k in 1:p) {
        Names[k] <- paste("P[", k, "]", sep = "")
    }
    colnames(mat) <- c(Names, "RSS")

    ind  <- which(mat[, p + 1] == min(mat[, p + 1])[1])[1]
    par  <- as.vector(mat[ind, 1:p])
    #### To solve the issue of abs(theta) > 2*pi ####
    if(par[3] > 2*pi){
        par[3] <- par[3]%%(2*pi)
    }
    if(par[3] < -2*pi){
        par[3] <- -((-par[3])%%(2*pi))
    }
    ##################################################

    goal.x0     <- par[1]
    goal.y0     <- par[2]
    goal.theta  <- par[3]  

    x.obs       <- x - goal.x0
    y.obs       <- y - goal.y0
    x.new       <- x.obs*cos(goal.theta) + y.obs*sin(goal.theta)
    y.new       <- y.obs*cos(goal.theta) - x.obs*sin(goal.theta)
    x.obs       <- x.new
    y.obs       <- y.new 
    r.obs       <- sqrt( x.obs^2 + y.obs^2 )
    phi.obs     <- acos(x.obs/r.obs)
    cond1       <- y.obs >= 0
    cond2       <- y.obs <  0
    xx1         <- x.obs[cond1]
    xx2         <- x.obs[cond2]
    yy1         <- y.obs[cond1] 
    yy2         <- y.obs[cond2]     
    phi1        <- phi.obs[cond1]  
    phi2        <- 2*pi - phi.obs[cond2]
    phi.obs     <- c(phi1, phi2) 
    x.obs       <- c(xx1, xx2)
    y.obs       <- c(yy1, yy2)
    resu        <- sort(phi.obs, decreasing = FALSE, index.return= T )
    phi.obs     <- resu$x
    Index       <- resu$ix
    x.obs       <- x.obs[Index]
    y.obs       <- y.obs[Index]
    r.obs       <- sqrt( x.obs^2 + y.obs^2 )
    x1          <- x.obs
    y1          <- y.obs
    poly0       <- as.polygonal(owin(poly=list(x=x1, y=y1)))
    Area        <- area(poly0)

    r.theo      <- expr(par[4:p], phi=phi.obs, m=m, 
                        simpver=simpver, nval=nval)

    x.theo      <- r.theo*cos(phi.obs)
    y.theo      <- r.theo*sin(phi.obs) 

    x2          <- x.theo
    y2          <- y.theo   
    phiA        <- phi.obs
 
    phi.arr     <- seq(0, 2*pi, len=np)
    if( is.null(angle) ){        
        results  <- curveGE(expr, P=par, phi=phi.obs, m=m, simpver=simpver, nval=nval)
        results2 <- curveGE(expr, P=par, phi=phi.arr, m=m, simpver=simpver, nval=nval)
        x.new   <- x1*cos(goal.theta) - y1*sin(goal.theta) + par[1]
        y.new   <- y1*cos(goal.theta) + x1*sin(goal.theta) + par[2] 
        r.new   <- sqrt((x.new-par[1])^2 + (y.new-par[2])^2)
        phiB    <- phiA + goal.theta        
    }
    if( !is.null(angle) ){        
        par.new    <- par  
        #### The third element of 'par.new' is compulsorily defined as 'angle' ####
        par.new[3] <- angle 
        ###########################################################################
        results  <- curveGE(expr, P=par.new, phi=phi.obs, m=m, simpver=simpver, nval=nval)
        results2 <- curveGE(expr, P=par.new, phi=phi.arr, m=m, simpver=simpver, nval=nval)
        x.new   <- x1*cos(angle) - y1*sin(angle) + par.new[1]
        y.new   <- y1*cos(angle) + x1*sin(angle) + par.new[2] 
        r.new   <- sqrt((x.new-par.new[1])^2 + (y.new-par.new[2])^2)
        phiB    <- phiA + angle 
    }

    if(is.null(xlim)) xlim <- NULL
    if(is.null(ylim)) ylim <- NULL

    if(!is.null(xlim)) xlim <- xlim
    if(!is.null(ylim)) ylim <- ylim
        
    if(!is.null(unit)){
      xlabel <- bquote( paste(italic("x"), " (", .(unit), ")", sep="") ) 
      ylabel <- bquote( paste(italic("y"), " (", .(unit), ")", sep="") )
    }
    if(is.null(unit)){
      xlabel <- bquote( italic("x") ) 
      ylabel <- bquote( italic("y") )
    }

    if(stand.fig == "T" | stand.fig == "TRUE" | stand.fig == "True"){
          dev.new()
          plot(x1, y1, xlab=xlabel, ylab=ylabel, 
               cex.lab=1.5, cex.axis=1.5, 
               type="l", lwd=3, col="grey50", asp=1)
          lines(x2, y2, col=2, lwd=2)
          title(main=main, cex.main=1.5, col.main=4, font.main=1)
          abline(h=0, lty=2, col=4)
          abline(v=0, lty=2, col=4)
    }

    if(fig.opt == "T" | fig.opt == "TRUE" | fig.opt == "True"){
      if(is.null(angle)){
            dev.new()
            plot( x.new, y.new, xlab=xlabel, ylab=ylabel, type="l",
                  cex.lab=1.5, cex.axis=1.5, col="grey50", lwd=3, asp=1, 
                  xlim=xlim, ylim=ylim )
            lines(results2$x, results2$y, type="l", asp=1, col=2, lwd=2)
            title(main=main, cex.main=1.5, col.main=4, font.main=1)
            if(abs(par[3])%%pi/2 != 0){
              slope <- tan(par[3])
              abline(-slope*par[1]+par[2], slope, col=1, lty=2)
              abline(v = par[1], col = 4, lty=2, lwd=1)
              abline(h = par[2], col = 4, lty=2, lwd=1)

            }
            if(abs(par[3])%%pi/2 == 0){
              abline(v = par[1], col = 1, lty=2)
              abline(v = par[1], col = 4, lty=2, lwd=1)
              abline(h = par[2], col = 4, lty=2, lwd=1)
            }
      } 
      if(!is.null(angle)){
            dev.new()
            plot( x.new, y.new, xlab=xlabel, ylab=ylabel, type="l", 
                  cex.lab=1.5, cex.axis=1.5, col="grey50", lwd=3, asp=1,
                  xlim=xlim, ylim=ylim )
            lines(results2$x, results2$y, type="l", asp=1, col=2, lwd=2)
            title(main=main, cex.main=1.5, col.main=4, font.main=1)
            if(abs(par.new[3])%%pi/2 != 0){
              slope <- tan(par.new[3])
              abline(-slope*par[1]+par[2], slope, col=1, lty=2)
              abline(v = par[1], col = 4, lty=2, lwd=1)
              abline(h = par[2], col = 4, lty=2, lwd=1)

            }
            if(abs(par.new[3])%%pi/2 == 0){
              abline(v = par[1], col = 1, lty=2)
              abline(v = par[1], col = 4, lty=2, lwd=1)
              abline(h = par[2], col = 4, lty=2, lwd=1)
            }
      }
    }

    x.range  <- range(x1)
    y.range  <- range(y1)
    Length   <- x.range[2] - x.range[1]
    Width    <- y.range[2] - y.range[1]    
    r1       <- sqrt(x1^2 + y1^2)
    r2       <- sqrt(x2^2 + y2^2)
    RSS      <- sum((r1 - r2)^2)
    r.sq     <- 1-sum((r1-r2)^2)/sum((r1-mean(r1))^2)

    para.tab <- data.frame( Parameter = c(Names, 
                    "Length", "Width", "r.sq", "RSS", "sample.size"), 
                    Estimate = c(par, Length, Width, r.sq, RSS, length(x)) )
    if(par.list == "T" | par.list == "TRUE" | par.list == "True"){
        print(para.tab)
        cat("\n")
    }

    return(list( par=par, scan.length=Length, scan.width=Width, 
      scan.area=Area,  
      r.sq=r.sq, RSS=RSS, sample.size=length(x),
      phi.stand.obs=phiA, phi.trans = phiB, 
      r.stand.obs=r1, r.stand.pred=r2,   
      x.stand.obs=x1, x.stand.pred=x2, 
      y.stand.obs=y1, y.stand.pred=y2, 
      r.obs=r.new, r.pred=results$r, x.obs=x.new,  
      x.pred=results$x, y.obs=y.new, y.pred=results$y) )
   
}

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biogeom documentation built on May 29, 2024, 8:52 a.m.