R: Hypothesis test for two means of percentages

Hypothesis test for two means of percentages {Rfast} | R Documentation

## Hypothesis test for two means of percentages

### Description

Hypothesis test for two means of percentages.

### Usage

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

### Arguments

`x` | A numerical vector with the percentages of the first sample. Any value between 0 and 1 (inclusive) is allowed.
`y` | A numerical vector 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 vector with three elements, the phi parameter, the test statistic and its associated p-value.

### Author(s)

Michail Tsagris

R implementation and documentation: Michail Tsagris <mtsagris@uoc.gr> and Manos Papadakis <papadakm95@gmail.com>.

### 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.ttests}, prop.reg, ttest2, ftest`

### Examples

    x <- rbeta(100, 3, 1)
    y <- rbeta(100, 7.5, 2.5)
    res<-percent.ttest(x, y)

[Package Rfast version 2.0.4 Index]