R/lmPE.R

lmPE <- function (x, y, simpver = NULL, dev.angle = NULL,  
    weights = NULL, fig.opt = TRUE, prog.opt = TRUE, xlim = NULL, 
    ylim = NULL, unit = NULL, main = NULL, extr.method = "Shi") 
{
    w <- weights
    if (!is.null(w) && !is.numeric(w)) 
        stop("'weights' must be a numeric vector")
    if (is.null(simpver)) {
        if (!is.null(w) && length(w) != 4) 
            stop("'weights' should have four numeric elements")
    }
    if (!is.null(simpver) && !is.numeric(simpver)) 
        stop("'simpver' must be chosen from 1, 2 and 3")
    if (!is.null(simpver) && simpver == 1) {
        if (!is.null(w) && length(w) != 3) 
            stop("'weights' should have three numeric elements")
    }
    if (!is.null(simpver) && simpver == 2) {
        if (!is.null(w) && length(w) != 2) 
            stop("'weights' should have two numeric elements")
    }
    if (!is.null(simpver) && simpver == 3) {
        if (!is.null(w) && length(w) != 2) 
            stop("'weights' should have two numeric elements")
    }
    if (length(x) != length(y)) 
        stop("'x' should have the same data length as 'y'!")
    if(!is.null(dev.angle) & !is.numeric(dev.angle)){
        stop("'dev.angle' should be NULL or a numerical value or a numerical vector!")
    }
    if( !(extr.method %in% c("Shi", "Biggins")) ){
        stop("'extr.method' should be selected from one of the available two options!")
    }
    if( (extr.method %in% c("Shi", "Biggins")) ){
      temp <- setdiff(c("Shi", "Biggins"), extr.method)
      if(length(temp) == 0){
        stop("'extr.method' should be selected from one of the available two options rather than both!")
      }
    }

    Tem <- cbind(x, y)
    Tem <- na.omit(Tem)
    x   <- Tem[, 1]
    y   <- Tem[, 2]
    poly1 <- owin(xrange = c(min(x)[1], max(x)[1]), 
                 yrange = c(min(y)[1], max(y)[1]))
    poly0 <- as.polygonal(owin(poly = list(x = x, y = y)))
    data0 <- ppp(x, y, window = poly1)
    area0 <- area.owin(poly0)
    perimeter0 <- perimeter(poly0)
    mat <- pairdist(data0)
    qq  <- cbind(which(mat == max(mat)[1], 
               arr.ind = TRUE)[1,])
    q <- as.numeric(qq)
    x1 <- x[q[1]]
    y1 <- y[q[1]]
    x2 <- x[q[2]]
    y2 <- y[q[2]]
    xx <- x - x2
    yy <- y - y2
    x1 <- x1 - x2
    y1 <- y1 - y2
    x2 <- x2 - x2
    y2 <- y2 - y2
    z  <- sqrt((y2 - y1)^2 + (x2 - x1)^2)
    theta <- acos((x1 - x2)/z)%%(2 * pi)
    if(theta > 2*pi) theta <- theta %% (2 * pi)

    xx2     <- xx * cos(theta) + yy * sin(theta)
    yy2     <- yy * cos(theta) - xx * sin(theta)
    length1 <- max(xx2) - min(xx2)
    xx3     <- xx2 - min(xx2)
    yy3     <- yy2 - min(yy2)
    Index1  <- which.max(yy3)
    Index2  <- which.min(yy3)
    x.mb    <- (xx3[Index1]+xx3[Index2])/2
    if(x.mb > length1/2){ 
      theta <- (theta + pi) %% (2 * pi)
    }

    if (is.null(dev.angle)) {    
      x.new <- xx * cos(theta) + yy * sin(theta)
      y.new <- yy * cos(theta) - xx * sin(theta)
      length0 <- max(x.new) - min(x.new)
      width0  <- max(y.new) - min(y.new)

      if(extr.method == "Shi"){
        x.new   <- x.new - (max(x.new)+min(x.new))/2
        y.new   <- y.new - (max(y.new)+min(y.new))/2
      }

      if(extr.method == "Biggins"){
        x.new   <- x.new - mean(x.new)
        y.new   <- y.new - mean(y.new)
      }

      xv      <- x.new/(length0/2)
      yv      <- y.new/(length0/2)
      Index2  <- which(yv < 0)
      temp <- 1 - xv^2
      ind0 <- which(temp < 0)
      temp[ind0] <- 0
      z0 <- sqrt(temp)
      z1 <- xv * z0
      z2 <- xv^2 * z0
      z3 <- xv^3 * z0
      z0[Index2] <- -z0[Index2]
      z1[Index2] <- xv[Index2] * z0[Index2]
      z2[Index2] <- xv[Index2]^2 * z0[Index2]
      z3[Index2] <- xv[Index2]^3 * z0[Index2]
      if (is.null(simpver)) {
        res <- lm(yv ~ -1 + z0 + z1 + z2 + z3, weights = w)
      }
      if (!is.null(simpver)) {
        if (simpver == 1) 
            res <- lm(yv ~ -1 + z0 + z1 + z2, weights = w)
        if (simpver == 2) 
            res <- lm(yv ~ -1 + z0 + z1, weights = w)
        if (simpver == 3) 
            res <- lm(yv ~ -1 + z0 + z2, weights = w)
      }
      yv.pred <- TSE(P = as.numeric(res$coefficients), x = xv, 
                     simpver = simpver)
      yv.pred[Index2] <- -yv.pred[Index2]
      y.pred <- yv.pred * length0/2
      RSS1   <- sum((yv - yv.pred)^2)
      RSS2   <- sum((y.new - y.pred)^2)
      RMSE1  <- sqrt(sum((yv - yv.pred)^2)/length(yv))
      RMSE2  <- sqrt(sum((y.new - y.pred)^2)/length(y.new))
    }

    if (!is.null(dev.angle)) {   
      RSSV <- c()
      AngleTotal <- length(dev.angle) + 1
      for(i in 1:length(dev.angle)){
        if(prog.opt == "TRUE" | prog.opt == "T" | prog.opt == "True")
            print(paste("Progress: ", i, "/", AngleTotal, sep=""))
        epsilon <- dev.angle[i]
        x.new   <- xx * cos(theta+epsilon) + yy * sin(theta+epsilon)
        y.new   <- yy * cos(theta+epsilon) - xx * sin(theta+epsilon)
        length0 <- max(x.new) - min(x.new)
        width0  <- max(y.new) - min(y.new)

        if(extr.method == "Shi"){
          x.new   <- x.new - (max(x.new)+min(x.new))/2
          y.new   <- y.new - (max(y.new)+min(y.new))/2
        }

        if(extr.method == "Biggins"){
          x.new   <- x.new - mean(x.new)
          y.new   <- y.new - mean(y.new)
        }

        xv      <- x.new/(length0/2)
        yv      <- y.new/(length0/2)
        Index2  <- which(yv < 0)
        temp <- 1 - xv^2
        ind0 <- which(temp < 0)
        temp[ind0] <- 0
        z0 <- sqrt(temp)
        z1 <- xv * z0
        z2 <- xv^2 * z0
        z3 <- xv^3 * z0
        z0[Index2] <- -z0[Index2]
        z1[Index2] <- xv[Index2] * z0[Index2]
        z2[Index2] <- xv[Index2]^2 * z0[Index2]
        z3[Index2] <- xv[Index2]^3 * z0[Index2]
        if (is.null(simpver)) {
          res <- lm(yv ~ -1 + z0 + z1 + z2 + z3, weights = w)
        }
        if (!is.null(simpver)) {
          if (simpver == 1) 
              res <- lm(yv ~ -1 + z0 + z1 + z2, weights = w)
          if (simpver == 2) 
              res <- lm(yv ~ -1 + z0 + z1, weights = w)
          if (simpver == 3) 
              res <- lm(yv ~ -1 + z0 + z2, weights = w)
        }
        yv.pred <- TSE(P = as.numeric(res$coefficients), x = xv, 
                       simpver = simpver)
        yv.pred[Index2] <- -yv.pred[Index2]
        y.pred <- yv.pred * length0/2
        RSS1   <- sum((yv - yv.pred)^2)
        RSSV   <- c(RSSV, RSS1)  
      }
      if(prog.opt == "TRUE" | prog.opt == "T" | prog.opt == "True")
          print(paste("Progress: ", AngleTotal, "/", AngleTotal, sep=""))
      Ind0     <- which.min(RSSV)[1]
      epsilon0 <- dev.angle[Ind0]
      x.new <- xx * cos(theta+epsilon0) + yy * sin(theta+epsilon0)
      y.new <- yy * cos(theta+epsilon0) - xx * sin(theta+epsilon0)
      length0 <- max(x.new) - min(x.new)
      width0  <- max(y.new) - min(y.new)

      if(extr.method == "Shi"){
        x.new   <- x.new - (max(x.new)+min(x.new))/2
        y.new   <- y.new - (max(y.new)+min(y.new))/2
      }

      if(extr.method == "Biggins"){
        x.new   <- x.new - mean(x.new)
        y.new   <- y.new - mean(y.new)
      }

      xv <- x.new/(length0/2)
      yv <- y.new/(length0/2)
      Index2 <- which(yv < 0)
      temp <- 1 - xv^2
      ind0 <- which(temp < 0)
      temp[ind0] <- 0
      z0 <- sqrt(temp)
      z1 <- xv * z0
      z2 <- xv^2 * z0
      z3 <- xv^3 * z0
      z0[Index2] <- -z0[Index2]
      z1[Index2] <- xv[Index2] * z0[Index2]
      z2[Index2] <- xv[Index2]^2 * z0[Index2]
      z3[Index2] <- xv[Index2]^3 * z0[Index2]
      if (is.null(simpver)) {
        res <- lm(yv ~ -1 + z0 + z1 + z2 + z3, weights = w)
      }
      if (!is.null(simpver)) {
        if (simpver == 1) 
            res <- lm(yv ~ -1 + z0 + z1 + z2, weights = w)
        if (simpver == 2) 
            res <- lm(yv ~ -1 + z0 + z1, weights = w)
        if (simpver == 3) 
            res <- lm(yv ~ -1 + z0 + z2, weights = w)
      }
      yv.pred <- TSE(P = as.numeric(res$coefficients), x = xv, 
                     simpver = simpver)
      yv.pred[Index2] <- -yv.pred[Index2]
      y.pred <- yv.pred * length0/2
      RSS1 <- sum((yv - yv.pred)^2)
      RSS2 <- sum((y.new - y.pred)^2)
      RMSE1 <- sqrt(sum((yv - yv.pred)^2)/length(yv))
      RMSE2 <- sqrt(sum((y.new - y.pred)^2)/length(y.new))
    }

    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 (is.null(xlim)) 
        xlim <- NULL
    if (is.null(ylim)) 
        ylim <- NULL
    if (!is.null(xlim)) 
        xlim <- xlim
    if (!is.null(ylim)) 
        ylim <- ylim
    if (fig.opt == "TRUE" | fig.opt == "T" | fig.opt == "True") {
        dev.new()
        par(family = "serif")
        par(mar = c(5, 5, 2, 2))
        plot(xv, yv, asp = 1, col = "grey50", lwd = 2, xlab = bquote(italic(x)), 
            ylab = bquote(italic(y)), xlim = xlim, ylim = ylim, 
            cex.lab = 1.5, cex.axis = 1.5, type = "l")
        lines(xv, yv.pred, col = 2)
        title(main = main, cex.main = 1.5, col.main = 4, font.main = 1)
        text(0, 0, bquote(paste("RMSE = ", .(round(RMSE1, 4)), 
            sep = "")), pos = NULL, cex = 1.5, col = 1)
        dev.new()
        par(family = "serif")
        par(mar = c(5, 5, 2, 2))
        plot(x.new, y.new, asp = 1, col = "grey50", lwd = 2, 
            xlab = xlabel, ylab = ylabel, xlim = xlim, ylim = ylim, 
            cex.lab = 1.5, cex.axis = 1.5, type = "l")
        lines(x.new, y.pred, col = 2)
        title(main = main, cex.main = 1.5, col.main = 4, font.main = 1)
        text(0, 0, bquote(paste("RMSE = ", .(round(RMSE2, 4)), 
            sep = "")), pos = NULL, cex = 1.5, col = 1)
    }

    if (is.null(dev.angle)){
      Res <- list(lm.tse = res, par = res$coefficients, theta = theta,          
          x.obs = x.new, y.obs = y.new, y.pred = y.pred, x.stand.obs = xv, 
          y.stand.obs = yv, y.stand.pred = yv.pred, scan.length = length0, 
          scan.width = width0, scan.area = area0, scan.perimeter = perimeter0, 
          RSS.scaled = RSS1, RSS = RSS2, sample.size = length(y.new), 
          RMSE.scaled = RMSE1, RMSE = RMSE2)
    }

    if (!is.null(dev.angle)){
      Res <- list(lm.tse = res, par = as.numeric(res$coefficients), theta = theta, 
          epsilon = epsilon0, RSS.vector = RSSV, 
          x.obs = x.new, y.obs = y.new, y.pred = y.pred, x.stand.obs = xv, 
          y.stand.obs = yv, y.stand.pred = yv.pred, scan.length = length0, 
          scan.width = width0, scan.area = area0, scan.perimeter = perimeter0, 
          RSS.scaled = RSS1, RSS = RSS2, sample.size = length(y.new), 
          RMSE.scaled = RMSE1, RMSE = RMSE2)
    }
    return(Res)
}

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