Description Usage Arguments Details Value Author(s) Examples
Performs a two-sample t-test using the total signal observed across all variates in multivariate data.
1 | ttest(X, Y)
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X |
A matrix of dimension n \times k whose rows represent the samples collected from n individuals from the first group on k variates. |
Y |
A matrix of dimension m \times k whose rows correspond to samples collected from m individuals from the second group on k variates. Default value is NULL. If not specified, the function performs a one-sample test using X. |
Given multivariate observations collected from two groups, a straightforward univariate test for equality of mean vectors can be constructed by converting the multivariate observations into univariate measures. ttest
tests equality of means by converting the k \times 1 observations into sum, representing each sample by total measurement observed across the variates. Using this total measure as our observed samples, a two-sample t-test is performed. If both groups contain all zero observations, (∑_{i,j} X_{i,j}^2 = 0 and ∑_{i,j} Y_{i,j}^2 = 0), then the test statistic is set equal to 0 and a p-value of 1 is returned.
A 2 \times 1 vector consisting of the test statistic and the p-value.
Deepak N. Ayyala
1 2 3 | data(diffMethylData)
ttest(diffMethylData$region1.x, diffMethylData$region1.y)
# ttest(diffMethylData$region2.x, diffMethylData$region2.y)
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