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Several functions (for example KernSmooth::bkde2D()) return a surface as a list "xyz" composed of three elements: vector of ordinates in the x dimension, vector of ordinates in the y dimension and a matrix with the values of the surface in x and y. This function transforms a list "xyz" into a data frame.

Usage

xyz2dataframe(xyz, xcol = 1, ycol = 2, zcol = 3)

Arguments

xyz

a list with 3 elements: a vector with x-coordinates, a vector with y-coordinates and and matrix with value for each point of coordinates x[i], y[j].

xcol

x index.

ycol

y index.

zcol

z index.

Value

A data.frame.

Note

xyz could be a list like x,y,z1,z2,z3. If so, zcol should be equal to c("z1","z2","z3") or c(3,4,5).

Examples

x <- matrix(c(2, 4, 6, 8, 10, 2, 4, 6, 8, 10), ncol = 2)
op <- KernSmooth::bkde2D(x, bandwidth = 1)
str(op)
#> List of 3
#>  $ x1  : num [1:51] 0.5 0.72 0.94 1.16 1.38 1.6 1.82 2.04 2.26 2.48 ...
#>  $ x2  : num [1:51] 0.5 0.72 0.94 1.16 1.38 1.6 1.82 2.04 2.26 2.48 ...
#>  $ fhat: num [1:51, 1:51] 0.00339 0.00459 0.00593 0.00729 0.00855 ...

op.df <- xyz2dataframe(op)
str(op.df)
#> 'data.frame':	2601 obs. of  3 variables:
#>  $ x1  : num  0.5 0.72 0.94 1.16 1.38 1.6 1.82 2.04 2.26 2.48 ...
#>  $ x2  : num  0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 0.5 ...
#>  $ fhat: num  0.00339 0.00459 0.00593 0.00729 0.00855 ...