Function BinomDiffCI [DescTools v0.99.36]

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Confidence Interval for a Difference of Binomials

description

Several confidence intervals for the difference between proportions are available, but they can produce markedly different results. Traditional approaches, such as the Wald interval do not perform well unless the sample size is large. Better intervals are available. These include the Agresti/Caffo method (2000), Newcombe Score method (1998) and a more computing intensive ones as by Miettinen and Nurminen (1985) or Mee (1984).

Function split.formula [DescTools v0.99.36]

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Formula Interface for Split

description

Implementation of a simple formula interface for the split function.

Function Kappa [vcd v1.4-7]

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Cohen's Kappa and Weighted Kappa

description

Computes two agreement rates: Cohen's kappa and weighted kappa, and confidence bands.

Function distplot [vcd v1.4-7]

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Diagnostic Distribution Plots

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Diagnostic distribution plots: poissonness, binomialness and negative binomialness plots.

Function table2d_summary [vcd v1.4-7]

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Summary of a 2-way Table

description

Prints a 2-way contingency table along with percentages, marginal, and conditional distributions.

Function goodfit [vcd v1.4-7]

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Goodness-of-fit Tests for Discrete Data

description

Fits a discrete (count data) distribution for goodness-of-fit tests.

Function plot.loddsratio [vcd v1.4-7]

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Plotting (Log) Odds Ratios

description

Produces a (conditional) line plot of extended (log) odds ratios.

Function mar_table [vcd v1.4-7]

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Table with Marginal Sums

description

Adds row and column sums to a two-way table.

Function loddsratio [vcd v1.4-7]

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Calculate Generalized Log Odds Ratios for Frequency Tables

description

Computes (log) odds ratios and their asymptotic variance covariance matrix for R x C (x strata) tables. Odds ratios are calculated for two array dimensions, separately for each level of all stratifying dimensions. See Friendly et al. (2011) for a sketch of a general theory.

Function lodds [vcd v1.4-7]

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Calculate Generalized Log Odds for Frequency Tables

description

Computes (log) odds and their asymptotic variance covariance matrix for R (by strata) tables. Odds are calculated for pairs of levels of one array dimension (typically a response or focal variable) separately for each level of all stratifying dimensions. See Friendly et al. (2011) for a sketch of a general theory.