myGrid class objectObjects of class myGrid are made to display the SOM grid.
myGrid class objectIn this section, we will consider only the four basic functions that can be
applied on a myGrid class object:
initGrid,print.myGridsummary.myGridplot.myGridinitGrid functionThe initGrid function initializes a new myGrid object. It has 3 arguments:
dimension, which is a vector of two integers. The first one is the x
dimension (number of neurons/units on the x axis) and the second one is the y
dimension. The default dimensions are x=5 and y=5,
topo, which is the chosen topology. The value of this argument must be
one of square or hexagonal. Thedefault value is square.
dist.type, which is the distance type to compute the distance between
two neurons of the grid. The default value is euclidean and the
coordinates of the neurons on the grid are chosen so as the minimum Euclidean
distance between two neurons is exactly 1. hexagonal topoology is only
compatible with the Euclidean distance.
The following R code initializes a new myGrid object of square topology, x
dimension 5 and y dimension 6, and distance type maximum.
first_grid <- initGrid(dimension = c(5,6), topo = "square", dist.type = "maximum")
print.myGrid functionThe myGrid object print function prints the main features of the chosen
object in the console. The only argument is the object to be printed.
Considering the previously initialized grid, the print command is:
print(first_grid)
##
## Self-Organizing Map structure
##
## Features :
## topology : square
## x dimension : 5
## y dimension : 6
## distance type: maximum
summary.myGrid functionThe myGrid object summary function is quite simple. It only prints the class
of the object and then calls the print function previously described. The only
argument is the object to be summarized.
summary(first_grid)
##
## Summary
##
## Class : myGrid
##
## Self-Organizing Map structure
##
## Features :
## topology : square
## x dimension : 5
## y dimension : 6
## distance type: maximum
plot.myGrid functionThe myGrid object plot function draws the squared area corresponding to the
object, in a new graphical window. It has 3 parameters:
the object to be plotted,
show.names, boolean, indicating if the names of the neurons should be displayed on the graph (default to TRUE)
names, a vector, giving the names of the neurons if show.names = TRUE, default to the number of the neuron.
plot(first_grid)
plot(first_grid) + ggplot2::scale_fill_manual(values = rep("white", 30))
my_palette <- colorRampPalette(c("white", "pink", "purple"))(30)
plot(first_grid, show.names = FALSE) +
ggplot2::scale_fill_manual(values = my_palette)
Hexagonal grids can be displayed similarly:
second_grid <- initGrid(dimension = c(4, 5), topo = "hexagonal")
plot(second_grid, names = paste0("N", 1:20)) +
ggplot2::ggtitle("Hexagonal SOM grid")
This vignette has been computed with the following environment:
sessionInfo()
## R version 3.6.3 (2020-02-29)
## Platform: x86_64-pc-linux-gnu (64-bit)
## Running under: Ubuntu 18.04.4 LTS
##
## Matrix products: default
## BLAS: /usr/lib/x86_64-linux-gnu/blas/libblas.so.3.7.1
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.7.1
##
## locale:
## [1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
## [3] LC_TIME=fr_FR.UTF-8 LC_COLLATE=C
## [5] LC_MONETARY=fr_FR.UTF-8 LC_MESSAGES=en_US.UTF-8
## [7] LC_PAPER=fr_FR.UTF-8 LC_NAME=C
## [9] LC_ADDRESS=C LC_TELEPHONE=C
## [11] LC_MEASUREMENT=fr_FR.UTF-8 LC_IDENTIFICATION=C
##
## attached base packages:
## [1] stats graphics grDevices utils datasets methods base
##
## other attached packages:
## [1] SOMbrero_1.3 igraph_1.2.4.1
##
## loaded via a namespace (and not attached):
## [1] Rcpp_1.0.4.6 highr_0.8 pillar_1.4.3
## [4] compiler_3.6.3 tools_3.6.3 digest_0.6.20
## [7] lattice_0.20-41 lubridate_1.7.4 evaluate_0.14
## [10] lifecycle_0.2.0 tibble_2.1.3 gtable_0.3.0
## [13] checkmate_1.9.4 pkgconfig_2.0.2 png_0.1-7
## [16] rlang_0.4.5 hexbin_1.27.3 xfun_0.13
## [19] interp_1.0-33 metR_0.7.0 dplyr_0.8.3
## [22] stringr_1.4.0 knitr_1.23 grid_3.6.3
## [25] tidyselect_1.0.0 scatterplot3d_0.3-41 glue_1.4.0
## [28] data.table_1.12.2 R6_2.4.1 farver_2.0.3
## [31] ggplot2_3.3.0 purrr_0.3.3 deldir_0.1-25
## [34] magrittr_1.5 scales_1.1.0 backports_1.1.4
## [37] ggwordcloud_0.5.0 assertthat_0.2.1 mime_0.7
## [40] colorspace_1.4-1 labeling_0.3 stringi_1.4.3
## [43] munsell_0.5.0 markdown_1.0 crayon_1.3.4