Generic Loss Function Coordinates

Coordinates are computed as centered by the reference value and scaled with the standard deviation. Uses the i,ith entry of the covariance matrix as the standard deviation of the ith variable.

Usage

pullCoordsNoCov(df, cov, exp, ...)

Arguments

df

data frame

cov

covariance matrix

exp

reference values

...

other expected values of getCoords

Value

matrix with coordinate representation of all points

Examples

head(pullCoordsNoCov(Bikes$space2,cov(Bikes$space2),
                data.frame(value = colMeans(Bikes$space2))))
#>             yr       temp weathersit      atemp        hum   windspeed
#> [1,] -1.000684 -0.8260965  1.1096668 -0.6794808  1.2493159 -0.38762628
#> [2,] -1.000684 -0.7206013  1.1096668 -0.7401455  0.4787852  0.74908882
#> [3,] -1.000684 -1.6335382 -0.7255514 -1.7485698 -1.3383576  0.74612099
#> [4,] -1.000684 -1.6136748 -0.7255514 -1.6091685 -0.2630015 -0.38956182
#> [5,] -1.000684 -1.4664099 -0.7255514 -1.5039409 -1.3405763 -0.04627497
#> [6,] -1.000684 -1.5899219 -0.7255514 -1.4797695 -0.7697378 -1.30224238