Many hypothesis tests for two means of percentages {Rfast}

Many hypothesis tests for two means of percentages

Description

Many hypothesis tests for two means of percentages.

Usage

percent.ttests(x, y, logged = FALSE)

Arguments

x

A numericalmatrix with the percentages of the first sample. Any value between 0 and 1 (inclusive) is allowed.

y

A numerical matrix with the percentages of the first sample. Any value between 0 and 1 (inclusive) is allowed.

logged

Should the p-values be returned (FALSE) or their logarithm (TRUE)?

Details

This is the prop.reg but with a single categorical predictor which has two levels only. It is like a t-test for the means of two samples haivng percentages.

Value

A matrix with three columns, the phi parameter, the test statistic and its associated p-value.

Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <[e-mail]> and Manos Papadakis <[e-mail]>.

References

Papke L. E. & Wooldridge J. (1996). Econometric methods for fractional response variables with an application to 401(K) plan participation rates. Journal of Applied Econometrics, 11(6): 619-632.

McCullagh, Peter, and John A. Nelder. Generalized linear models. CRC press, USA, 2nd edition, 1989.

See Also

link{percent.ttest}, prop.reg, ttest2, ftest

Examples

x <- matrix( rbeta(100 * 10, 3, 1), ncol = 10)
y <- matrix( rbeta(50 * 10, 7.5, 2.5), ncol = 10)
res<-percent.ttests(x, y)