Ordinal Transformation of a Vector

Converts a numeric vector into an ordinal one based on quantiles.

Usage

qvector(x, probs = seq(0, 1, 0.25), na.rm = FALSE, ...)

Arguments

x

a numeric vector.

probs

numeric vector of probabilities with values in [0, 1] used by quantile.

na.rm

logical, if true, any NA and NaNs are removed from x before the quantiles are computed.

...

further arguments passed to the function quantile.

Value

A numeric vector of length the same as the input vector, containing the respective (upper) quantile values.

References

S\'olymos P. (2008) mefa: an R package for handling and reporting count data. Community Ecology 9, 125–127.

S\'olymos P. (2009) Processing ecological data in R with the mefa package. Journal of Statistical Software 29(8), 1–28. doi:10.18637/jss.v029.i08

http://mefa.r-forge.r-project.org/

Author

P\'eter S\'olymos, solymos@ualberta.ca

See also

quantile

Examples

x <- rnorm(20)
x
#>  [1]  1.6728826 -0.3543612  0.9463479  1.3168264 -0.2966400 -0.3872136
#>  [7] -0.7854327 -1.0567369 -0.7955414 -1.7562754 -0.6905379 -0.5585420
#> [13] -0.5366633  0.2271271  0.9784549 -0.2088827 -1.3994105  0.2585373
#> [19] -0.4417995  0.5685999
y <- qvector(x)
y
#>  [1] 1.00 0.75 1.00 1.00 0.75 0.50 0.25 0.25 0.25 0.25 0.50 0.50 0.50 0.75 1.00
#> [16] 0.75 0.25 0.75 0.50 1.00
rbind(x, y)
#>       [,1]       [,2]      [,3]     [,4]     [,5]       [,6]       [,7]
#> x 1.672883 -0.3543612 0.9463479 1.316826 -0.29664 -0.3872136 -0.7854327
#> y 1.000000  0.7500000 1.0000000 1.000000  0.75000  0.5000000  0.2500000
#>        [,8]       [,9]     [,10]      [,11]     [,12]      [,13]     [,14]
#> x -1.056737 -0.7955414 -1.756275 -0.6905379 -0.558542 -0.5366633 0.2271271
#> y  0.250000  0.2500000  0.250000  0.5000000  0.500000  0.5000000 0.7500000
#>       [,15]      [,16]    [,17]     [,18]      [,19]     [,20]
#> x 0.9784549 -0.2088827 -1.39941 0.2585373 -0.4417995 0.5685999
#> y 1.0000000  0.7500000  0.25000 0.7500000  0.5000000 1.0000000
plot(x, y, type="h")