Rfast (version 1.7.3)

Many multi-sample tests: Many multi-sample tests

Description

Many multi-sample tests.

Usage

ftests(x, ina, logged = FALSE)
anovas(x, ina, logged = FALSE)

Arguments

x

A matrix with the data, where the rows denote the samples (and the two groups) and the columns are the variables.

ina

A numerical vector with 1s, 2s, 3s and so one indicating the two groups. Be careful, the function is desinged to accept numbers greater than zero.

logged

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

Value

A matrix with the test statistic and the p-value of each test.

Details

The Welch's F-test (without assuming equal variances) is performed with the "ftests" funciton. The "anovas" funciton perform the classical (Fisher's) one-way analysis of variance (ANOVA) which assumes equal variance across the groups.

References

B. L. Welch (1951). On the comparison of several mean values: an alternative approach. Biometrika, 38(3/4), 330-336.

See Also

ttests

Examples

## 1000 variables, hence 1000 F-tests will be performed
x = matrix( rnorm(300 * 1000), ncol = 1000 )
## 300 observations in total
ina = rbinom(300, 3, 0.6) + 1   ## independent samples t-test
system.time( ftests(x, ina) ) 
system.time( anovas(x, ina) )