nir {kohonen} | R Documentation

## Near-infrared data with temperature effects

### Description

A data object containing near-infrared spectra of ternary mixtures of ethanol, water and iso-propanol, measured at five different temperatures (30, 40, ..., 70 degrees Centigrade).

### References

F. Wulfert , W.Th. Kok, A.K. Smilde: Anal. Chem. 1998, 1761-1767

### Examples

      data(nir)

      set.seed(3)
      nirnet <- xyf(X = nir$spectra[nir$training,],
                    Y = nir$composition[nir$training,],
                    user.weights = c(3,1),
                    grid = somgrid(6, 6, "hexagonal"), rlen=500)
      plot(nirnet, "counts", main="Counts")

      ## Focus on compound 2 (water):
      par(mfrow = c(1,2))
      set.seed(13)
      nirnet <- xyf(X = nir$spectra[nir$training,],
                    Y = nir$composition[nir$training, 2, drop = FALSE],
                    grid = somgrid(6, 6, "hexagonal"), rlen=500)
      water.xyf <-
        predict(nirnet, newdata = nir$spectra[nir$training,],
                unit.predictions = getCodes(nirnet, 2),
                whatmap = 1)$prediction
      plot(nirnet, "property", property = water.xyf[[1]],
           main="Prediction of water content")
      ## Plot temperatures as circles
      symbols(nirnet$grid$pts[nirnet$unit.classif,] +
              matrix(rnorm(sum(nir$training)*2, sd=.1), ncol=2),
    	  circles = (nir$temperature[nir$training] - 20)/250,
    	  inches = FALSE, add = TRUE)

      ## Model temperatures
      set.seed(13)
      nirnet2 <- xyf(X = nir$spectra[nir$training,],
                     Y = matrix(nir$temperature[nir$training], ncol = 1),
                     user.weights = c(1,3),
                     grid = somgrid(6, 6, "hexagonal"), rlen=500)
      temp.xyf <- predict(nirnet2, newdata = nir$spectra[nir$training,],
                          unit.predictions = getCodes(nirnet2, 2),
                          whatmap = 1)$prediction

      plot(nirnet2, "property", property = temp.xyf[[1]],
           palette.name = rainbow,
           main="Prediction of temperatures")
      ## Plot concentrations of water as circles
      symbols(nirnet2$grid$pts[nirnet2$unit.classif,] +
              matrix(rnorm(sum(nir$training)*2, sd=.1), ncol=2),
    	  circles = 0.05 + 0.4 * nir$composition[nir$training,2],
    	  inches = FALSE, add = TRUE)

[Package kohonen version 3.0.4 Index]