Computes a randomization test for the number of significant correlations and the average absolute r between set1 and set2.
● Data Source:
CranContrib
● Keywords: randomization test
● Alias: rand.test
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Returns scores in x after rescaling
● Data Source:
CranContrib
● Keywords: centering, scale
● Alias: scale2
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Returns information about the number of valid X-Y pairs.
● Data Source:
CranContrib
● Keywords: missing data, valid pairs
● Alias: valid.pairs
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Computes the replicability of both overall and distinctive Profile correlations.
● Data Source:
CranContrib
● Keywords: distinctiveness, profile correlations, replicability
● Alias: Profile.r.rep
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This function was designed to meta-analytically combine the correlations of X and Y when the data come from non-independent samples.
● Data Source:
CranContrib
● Keywords: correlations, meta-analysis
● Alias: cor.comb
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Returns the slope and intercept for x predicting y
● Data Source:
CranContrib
● Keywords: coefficients, linear regression
● Alias: lin.coef
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Returns the part-whole correlations between an item or the mean of all possible groups of nitems and the composite of the full set of items.
● Data Source:
CranContrib
● Keywords: composite, part-whole correlation
● Alias: partwhole
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A function for plotting entire profiles of scores for individual observations (e.g., personality profiles)
● Data Source:
CranContrib
● Keywords: composite, item scoring
● Alias: plotProfile
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Computes the residuals for each observation (row) where items pairs are the corresponding columns in x.set and y.set.
● Data Source:
CranContrib
● Keywords: Distinctiveness, Profile Agreement, Residual
● Alias: Profile.resid
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Computes scores from the structural summary method (Gurtman, 1992; Gurtman & Pincus, 2003; Wright, Pincus, Conroy, & Hilsenroth, 2009) for the interpresonal circumplex.
● Data Source:
CranContrib
● Keywords: IPC, Structural Summary
● Alias: structSumIPC
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