Description Usage Arguments Details Value Note Author(s) See Also Examples

Quantiles corresponding to the uniform distribution of the distribution function of a vector, or of the columns of a matrix or data frame.

1 | ```
uniformQuantiles(X, K, decreasing=TRUE)
``` |

`X` |
a numeric vector, matrix, or data frame. |

`K` |
the number of quantiles. |

`decreasing` |
logical; if |

For a vector *x*, the *k*th uniform quantile, for *k = 1,…,K*, is the sample quantile at *q = (k-0.5)/K*. In other words, `uniformQuantiles(X, K, FALSE)[k] = quantile(X, (k-0.5)/K)`

if `X`

is a vector. If `X`

is a matrix or data frame, the function is applied to the columns of `X`

.

A vector of quantiles if `X`

is a vector, a matrix of quantiles of the columns of `X`

if `X`

is a matrix or data frame.

`uniformQuantiles`

is used to initialize component means in `mixmod`

and `mdmixmod`

.

Daniel Dvorkin

`mixmod`

, `mdmixmod`

; `quantile`

in package `stats`

.

1 2 3 4 5 6 7 8 9 10 | ```
set.seed(123)
X = matrix(rnorm(300), ncol=3)
uniformQuantiles(X, 5)
# [,1] [,2] [,3]
# [1,] 1.26449867 1.0584323 1.55267383
# [2,] 0.51301442 0.3039516 0.56563159
# [3,] 0.06175631 -0.2258300 0.03591471
# [4,] -0.38719515 -0.6200279 -0.45546412
# [5,] -1.06822046 -1.2894076 -1.02776368
``` |

lcmix documentation built on May 21, 2017, 4:05 a.m.

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