R: Compute the correspondence profile (Psi(t, v)) and the...

get.uri.2d {idr} | R Documentation

## Compute the correspondence profile (Psi(t, v)) and the derivative of the correspondence profile (Psi'(t, v))

### Description

An internal function to compute the correspondence profile (Psi(t, v)) and the derivative of the correspondence profile (Psi'(t, v)) for t and v between 0 and 1

### Usage

    get.uri.2d(x1, x2, tt, vv, spline.df = NULL)

### Arguments

`x1` |
`x2` |
`tt` | A vector of right-tail percentages for x1. It is a numeric vector between 0 and 1, e.g. seq(0.01, 0.99, by=0.01)
`vv` | A vector of right-tail percentages for x2. It is a numeric vector between 0 and 1, e.g. seq(0.01, 0.99, by=0.01)
`spline.df` | The degree of freedom to control the smoothness of the spline to be superimposed on the points

### Author(s)

Qunhua Li

### References

Q. Li, J. B. Brown, H. Huang and P. J. Bickel. (2011) Measuring reproducibility of high-throughput experiments. Annals of Applied Statistics, Vol. 5, No. 3, 1752-1779.

### See Also

comp.uri, get.correspondence

### Examples

    # salmon data from Kallenberg and Ledwina, 1999
    data(salmon)

    # get.correspondence() needs large ranks have high correlation and
    # small ranks have low correlation. In this dataset, small values
    # have high correlation and large values have low correlation.
    # Ranking negative values makes the data follow the structure required
    # by get.correspondence().
    # There are 28 observations in this data set.

    rank.x <- rank(-salmon$spawners)
    rank.y <- rank(-salmon$recruits)
    t <- seq(0.01, 0.99, by=1/28)
    psi.dpsi <- get.uri.2d(rank.x, rank.y, t, t, spline.df=6.4)

[Package idr version 1.2 Index]