Standardize a numeric vector

Standardize a numeric vector. Defaults to centering on the mean and scaling on the standard deviation.

Usage

standardize(
  x,
  center = function(x) mean(x, na.rm = TRUE),
  scale = function(x) sd(x, na.rm = TRUE)
)

Arguments

x

A numeric vector.

center

A function or numeric constant.

scale

A function or numeric constant.

Value

numeric vector

Examples

#----------------------------------------------------------------------------
# standardize() examples
#----------------------------------------------------------------------------
library(bkstat)

x <- rnorm(100, mean = 30, sd = 20)
standardize(x)
#>   [1] -0.635218999 -1.071233031 -0.017588342 -0.111783805 -0.948559340
#>   [6]  0.566360004 -0.156078283  0.331354319 -2.248894545 -1.536603929
#>  [11]  0.974928822  0.707945135 -0.589320947  1.119988338 -0.201065161
#>  [16]  0.764173912  0.386013684  0.081874334 -1.028963043  0.159450264
#>  [21] -0.006655506  1.112951755 -0.973087383  0.730556384 -0.573677973
#>  [26] -0.087130772  1.709075246  0.366372662  0.171838483  0.731029441
#>  [31]  1.297321486  0.750803132 -0.016418987  0.364309381 -1.326955067
#>  [36]  1.226739074  0.654429475  0.764644686  1.049767885 -1.328029552
#>  [41] -0.224530176  1.285293053 -0.037902776  0.047950220 -0.210615145
#>  [46]  0.511455542  1.808735597 -0.773387576  0.157765946  0.033315540
#>  [51] -0.026997642 -0.743108084 -1.132027804 -1.290890866 -0.289472511
#>  [56]  0.086676293  2.119646686  0.861357139 -0.615051830 -2.186001913
#>  [61]  0.698228226 -0.510853582  0.029938430  1.008958488  1.478919437
#>  [66] -0.141914737 -0.622388422  1.135946859  0.211573394 -1.156439925
#>  [71]  0.615814099  2.604425603  0.184503514 -0.711785473 -1.123665958
#>  [76]  1.154727747  0.048209729 -0.166654469 -0.931111832 -0.282331889
#>  [81]  0.100116701  0.074761195  0.219695894 -0.983661307  0.577329227
#>  [86] -1.064709804  0.126508539 -1.599586368 -2.208078966 -0.841000845
#>  [91] -0.711631493 -2.134289606 -2.282287251  1.996308665  0.797597802
#>  [96] -0.844162591  1.397310571 -0.166932354  0.822644696  0.653095130