Nothing
require("shinyBS")
####################################################################################
# Loading the data from environment and examples
####################################################################################
# data.frames in the global environment
data("iris")
data("lesmis")
data("presidentielles2002")
# tibbles and data.tables are also returned since they are in the data.frame class
dataframes <- ls()[sapply(ls(envir = .GlobalEnv), function(x) 'data.frame' %in% class(get(x)) | 'matrix' %in% class(get(x)))]
###############################################################################
## Global variables & functions
####################################################################################
# Max file input size :
options(shiny.maxRequestSize=30*1024^2)
# Function %notin%
`%notin%` <- Negate(`%in%`)
# SOM training function
trainTheSom <- function(data, type, topo, dimx, dimy, affectation, disttype, maxit,
varnames, rand.seed, scaling, eps0, init.proto, nb.save,
radiustype) {
#if (type=="numeric")
data <- data[, varnames]
set.seed(rand.seed)
trainSOM(data, topo=topo, dimension=c(dimx,dimy), affectation=affectation,
dist.type=disttype, maxit=maxit, type=type, scaling=scaling, eps0=eps0,
init.proto=init.proto, nb.save=nb.save, radius.type=radiustype)
}
# List of somplot types options per SOM type and "what" :
all.somplot.types <- list("numeric"=
list("prototypes"=
list("lines", "barplot", "color", "3d",
"smooth distances"="smooth.dist",
"polygon distances"="poly.dist",
"grid distances"="grid.dist",
"U matrix distances"="umatrix",
"MDS"="mds"),
"obs"=c("hitmap", "color", "lines", "meanline", "barplot",
"names", "boxplot"),
"energy"="Energy of backups"),
"korresp"=
list("prototypes"=
list("lines","barplot", "color", "3d",
"polygon distances"="poly.dist",
"grid distances"="grid.dist",
"U matrix distances"="umatrix",
"MDS"="mds"),
"obs"=c("hitmap", "names"),
"energy"="Energy of backups"),
"relational"=
list("prototypes"=
list("lines", "barplot",
"polygon distances"="poly.dist",
"grid distances"="grid.dist",
"U matrix distances"="umatrix",
"MDS"="mds"),
"obs"=c("hitmap", "names"),
"energy"="Energy of backups"))
all.scplot.types <- list("numeric"=
list("prototypes"=
list("grid", "dendrogram", "dendro3d", "color",
"lines", "barplot",
"polygon distances"="poly.dist",
"MDS"="mds"),
"obs"=c("hitmap", "color", "lines", "meanline", "barplot",
"boxplot")),
"korresp"=
list("prototypes"=
list("grid", "dendrogram", "color", "lines",
"barplot",
"polygon distances"="poly.dist",
"MDS"="mds", "dendro3d"),
"obs"="hitmap"),
"relational"=
list("prototypes"=
list("grid", "dendrogram", "lines", "barplot",
"polygon distances"="poly.dist",
"MDS"="mds", "dendro3d"),
"obs"="hitmap"))
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