Quantile: Sample quantiles and col/row wise quantiles

In Rfast2: A Collection of Efficient and Extremely Fast R Functions II

Sample quantiles and col/row wise quantiles

Description

Sample quantiles and col/row wise quantiles.

Usage

colQuantile(x,probs,parallel=FALSE,cores=0)
## S3 method for class 'matrix'
colQuantile(x,probs,parallel=FALSE,cores=0)
## S3 method for class 'data.frame'
colQuantile(x,probs,parallel=FALSE,cores=0)
rowQuantile(x,probs,parallel=FALSE,cores=0)
Quantile(x,probs,parallel=FALSE)

Arguments

x	Numeric vector whose sample quantiles are wanted. NA and NaN values are not allowed in numeric vectors. For the col/row versions a numerical matrix or data.frame.
probs	Numeric vector of probabilities with values in [0,1], not missing values. Values up to 2e-14 outside that range are accepted and automatically moved to the nearby endpoint by C++.
parallel	Do you want to do it in parallel, for column - row major, in C++? TRUE or FALSE.
cores	Number of cores to use for parallelism. Valid only when argument parallel is set to TRUE. Default value is 0 and it means the maximum supported cores.

Details

This is the same function as R's built in "quantile" with its default option, type = 7. We have also implemented it in a col/row-wise fashion.

Value

The function will return a vector of the same mode as the arguments given. NAs will be removed.

Author(s)

Manos Papadakis.

R implementation and documentation: Manos Papadakis [e-mail].

See Also

trim.mean

Examples

x<-rnorm(1000)
probs<-runif(10)
sum( quantile(x, probs = probs) - Quantile(x, probs) )

Rfast2 documentation built on Aug. 8, 2023, 1:11 a.m.