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T-Test Estimator with a GPU

gpuTtest.Rd

Given the number of samples and a Pearson correlation coefficient, this function estimates the t-score on a GPU. If an entry in goodPairs is zero or one then you may get a NaN as the t-test result.

Usage

gpuTtest(goodPairs, coeffs,
    precision = getOption("gputools.precision", "single"))

Arguments

goodPairs

a vector of positive integer values. Value i represents the number of samples used to calculate the i-th value of the 'coeffs' argument.

coeffs

a vector of floating point values representing Pearson correlation coefficients.

precision

"single" or "double": the floating point precision the GPU computes in. Single precision is the default, set with options(gputools.precision = "double"); it runs many times faster on most consumer GPUs. Results are returned as doubles either way.

Value

a vector of single precision floating point values. The i-th entry is an estimate of the t-score of the i-th entry of the 'coeffs' argument.

See also

gpuCor.

Examples

if (FALSE) { # gpuAvailable()
goodPairs <- rpois(10, lambda=5)
coeffs <- runif(10)
gpuTtest(goodPairs, coeffs)
}