umx_scale {umx}

Scale data columns, skipping non-scalable columns

Description

umx_scale applies scale to the columns of a data.frame. By default it scales all numeric columns, and is smart enough to skip non-scalable columns (strings, factors, etc.).

You can also select which columns to convert. This is useful when you want to avoid numeric columns which are actually factors.

note: By default, the attributes which scale adds ("scaled:center" and "scaled:scale" removed to leave nice numeric columns. Set attr= TRUE to preserve these.

Usage

umx_scale(
  df,
  varsToScale = NULL,
  coerce = FALSE,
  attr = FALSE,
  verbose = FALSE
)

Arguments

df

A dataframe to scale (or a numeric vector)

varsToScale

(leave blank to scale all)

coerce

Whether to coerce non-numerics to numeric (Defaults to FALSE.

attr

to strip off the attributes scale creates (FALSE by default)

verbose

Whether to report which columns were scaled (default FALSE)

Value

• new dataframe with scaled variables

References

• https://github.com/tbates/umx

See Also

umx_scale_wide_twin_data scale

Other Miscellaneous Stats Functions: FishersMethod(), SE_from_p(), geometric_mean(), harmonic_mean(), oddsratio(), reliability(), umxCov2cor(), umxHetCor(), umxParan(), umxWeightedAIC(), umx_apply(), umx_cor(), umx_means(), umx_r_test(), umx_round(), umx_var(), umx

Examples

data(twinData)
# note: this example is here to remind us why scaling independently for each 
# twin would be very bad! Use  umx_scale_wide_twin_data() instead!
df = umx_scale(twinData, varsToScale = c("wt1", "wt2"))
df = umx_scale(twinData,  attr= TRUE)
plot(wt1 ~ wt2, data = df)