cutByQuantile

The number of quantile points. See details.

If the numeric variable has fewer than 6 unique observed
  values, this will send the data to <code>cutByTable</code>.
  The default return will find dividing points at three
  quantiles: c(0.25, 0.50, 0.75) If n=4, the dividing
  points will be c(0.20, 0.40, 0.60, 0.80) If n=5, c(0.0,
  0.25, 0.50, 0.75, 1.0) Larger n that are odd will include
  0.5 and evenly spaced points out to proportions 0 and
  1.0. Larger n that is even will return evenly spaced
  points calculated by R's <code>pretty</code> function.

A collection of functions for ease of
    presentation and interpretation of regression analysis.
    These functions are developed in response to student requests
    that have arisen in our regression course. For regression
    diagnostics, see mcDiagnose, getDeltaRsquare, meanCenter or
    residualCenter. See the outreg function for a way to generate
    LaTeX tables of regression models. For nice, easy to use pictures,
    see plotSlopes, plotCurves, plotPlane for graphs. There are some
    functions for re-organization of data, especially useful might be
    combineLevels for re-coding factors. The vignette "rockchalk"
    offers a fairly broad survey.  The package title "rockchalk" refers
    to the expression,  "Rock Chalk Jayhawk, Go K.U.".

cutByQuantile: Calculates the "center" quantiles, always including the median, when n is odd.

Description

Usage

Arguments

Value