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Determine a p-value for the strength of similarity between two bullets based on scores for each land-to-land comparison.

Usage

phase_test(land1, land2, score, sigma_0 = NA)

Arguments

land1

vector with land ids of the LEAs in bullet 1

land2

vector with land ids of the LEAs in bullet 2

score

real-valued vector consisting of land-to-land comparisons. Higher values are assumed to describe higher similarity.

sigma0

real valued, standard deviation of the different source distribution. If NA (default), the standard deviation of the scores corresponding to non-matches (after selecting the highest phase) is taken. Real-values are interpreted as fixed standard deviation. The user can provide their own function of the form function (data), where data is a data frame with land1, land2, score, and phase. The phase vector consists of integer values 1, ..., k, where k is the maximum of the number of unique lands in land1 and land2. The values are ordered such that the highest value k of phase corresponds to the elements in score with the highest average score.

Value

phase.test object. List of estimate=est1-est2,estimate1=est1, estimate2=est2, statistic= test.statistic, p.value=pvalue, parameter=sigma_0, data = dframe