View source: R/symbolicDA2RSDA.r

RSDA2SymbolicDA | R Documentation |

It reads a symbolic data table from a CSV file or converts RSDA object to SymbolicDA "symbolic" class type object

RSDA2SymbolicDA(rsda.object=NULL,from.csv=F,file=NULL , header = TRUE, sep, dec, row.names = NULL)

`rsda.object` |
object of class "symb.data.table" from (former) RSDA package) |

`from.csv` |
object of class "symb.data.table" from (former) RSDA package) |

`file` |
optional, The name of the CSV file in RSDA format (see details) |

`header` |
As in R function read.table |

`sep` |
As in R function read.table |

`dec` |
As in R function read.table |

`row.names` |
As in R function read.table |

(as in (former) RSDA package) The labels $C means that follows a continuous variable, $I means an interval variable, $H means a histogram variables and $S means set variable. In the first row each labels should be follow of a name to variable and to the case of histogram a set variables types the names of the modalities (categories) . In data rows for continuous variables we have just one value, for interval variables we have the minimum and the maximum of the interval, for histogram variables we have the number of modalities and then the probability of each modality and for set variables we have the cardinality of the set and next the elements of the set.

The format is the CSV file should be like:

$C F1 $I F2 F2 $H F3 M1 M2 M3 $S F4 E1 E2 E3 E4

Case1 $C 2.8 $I 1 2 $H 3 0.1 0.7 0.2 $S 4 e g k i

Case2 $C 1.4 $I 3 9 $H 3 0.6 0.3 0.1 $S 4 a b c d

Case3 $C 3.2 $I -1 4 $H 3 0.2 0.2 0.6 $S 4 2 1 b c

Case4 $C -2.1 $I 0 2 $H 3 0.9 0.0 0.1 $S 4 3 4 c a

Case5 $C -3.0 $I -4 -2 $H 3 0.6 0.0 0.4 $S 4 e i g k

The internal format is:

$N

[1] 5

$M

[1] 4

$sym.obj.names

[1] 'Case1' 'Case2' 'Case3' 'Case4' 'Case5'

$sym.var.names

[1] 'F1' 'F2' 'F3' 'F4'

$sym.var.types

[1] '$C' '$I' '$H' '$S'

$sym.var.length

[1] 1 2 3 4

$sym.var.starts

[1] 2 4 8 13

$meta

$C F1 $I F2 F2 $H F3 M1 M2 M3 $S F4 E1 E2 E3 E4

Case1 $C 2.8 $I 1 2 $H 3 0.1 0.7 0.2 $S 4 e g k i

Case2 $C 1.4 $I 3 9 $H 3 0.6 0.3 0.1 $S 4 a b c d

Case3 $C 3.2 $I -1 4 $H 3 0.2 0.2 0.6 $S 4 2 1 b c

Case4 $C -2.1 $I 0 2 $H 3 0.9 0.0 0.1 $S 4 3 4 c a

Case5 $C -3.0 $I -4 -2 $H 3 0.6 0.0 0.4 $S 4 e i g k

$data

F1 F2 F2.1 M1 M2 M3 E1 E2 E3 E4

Case1 2.8 1 2 0.1 0.7 0.2 e g k i

Case2 1.4 3 9 0.6 0.3 0.1 a b c d

Case3 3.2 -1 4 0.2 0.2 0.6 2 1 b c

Case4 -2.1 0 2 0.9 0.0 0.1 3 4 c a

Case5 -3.0 -4 -2 0.6 0.0 0.4 e i g k

Return a symbolic data table in form of SymbolicDA "symbolic" class type object.

Andrzej Dudek

With ideas from RSDA package by Oldemar Rodriguez Rojas

Bock H.H., Diday E. (eds.) (2000), *Analysis of Symbolic Data. Explanatory methods for extracting statistical information from complex data*, Springer-Verlag, Berlin.

display.sym.table

# Example will be available in next version of package, thank You for your patience :-)

symbolicDA documentation built on Feb. 16, 2023, 6 p.m.

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