finemeshed3d | R Documentation |

Function that helps to transform a vector into a 3 dimensional array (with a fine mesh). In the implementation of the spiceFP approach, it allows to transform matrices of coefficients having different dimensions into matrices of the same dimension in order to perform arithmetic operations. In practice, the 3d array to be transformed is associated with a contingency table, which implies numerical variables for which classes have been created.

finemeshed3d( x, n.breaks1 = 10, n.breaks2 = 1000, n.breaks3 = 500, round.breaks1 = 9, round.breaks2 = 9, round.breaks3 = 9 )

`x` |
vector or one column matrix to scale. This vector comes from the vectorization of the 3d array to be transformed. x is named using the concatenation of the names of the dimension of the array to be transformed, as shown in the example below. |

`n.breaks1` |
integer. Number of breaks needed for the first variable The variable for which classes are in first position when constructing x's names is the first variable. |

`n.breaks2` |
integer. Number of breaks needed for the second variable. The variable for which classes are in second position when constructing x's names is the second variable. |

`n.breaks3` |
integer. Number of breaks needed for the third variable. The variable for which classes are in third position when constructing x's names is the third variable. |

`round.breaks1` |
integer. Number of decimals for breaks of the first variable. |

`round.breaks2` |
integer. Number of decimals for breaks of the second variable. |

`round.breaks3` |
integer. Number of decimals for breaks of the third variable. |

This function is designed to return a 3d fine meshed array and breaks associated. In order to obtain a fine mesh, a high number of breaks must be fixed.

Returns:

- finemeshed.array
Array of dimension n.breaks1 x n.breaks2 x n.breaks3. The dimension names of finemeshed.array are the breaks created from each variable and the associated n.breaks. Each value of finemeshed.array is equal to the value of x indexed by the classes containing the row and column names of finemeshed.array

- finemeshed.values1
First variable breaks

- finemeshed.values2
Second variable breaks

- finemeshed.values3
Third variable breaks

set.seed(4) count_table<-hist_3d(x = rnorm(1000), y = rnorm( 1000,5,0.1), z = rnorm( 1000,2,1), breaks_x = seq(-4, 4, by =1), breaks_y = seq(2, 8, by =1), breaks_z = seq(-3, 6, by =1))$Hist.Values df.x<-as.data.frame.table(count_table) x<-df.x$Freq names(x)<-paste0(df.x$Var1,"_",df.x$Var2,"_",df.x$Var3) res.fm3d<- finemeshed3d(x,10,50,100) dim(res.fm3d$finemeshed.array)

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