Package index
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flatten.data.frame() - Flatten Duplicate Rows in a Data Frame
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binw() - Calculate the Bin Width for Plotting Histograms
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group_constrained_order() - Ordering by keeping defined groups together
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reorder_dend_by_groups() - Reorder a dendrogram to keep specified groups of tips adjacent
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diversity.calc() - Compute Diversity Measures
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diversity.compare() - Compare Diversity Measures
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berger_parker()berger_parker_reciprocal()simpson()gini_simpson()simpson_max()simpson_reciprocal()simpson_relative()simpson_evenness()shannon()shannon_max()shannon_relative()shannon_ens()mcintosh_diversity()mcintosh_evenness()smith_wilson()heip_evenness()margalef_index()menhinick_index()brillouin_index()hill_number()renyi_entropy()tsallis_entropy()hill_evenness() - Diversity Index Functions
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perm.test.global()perm.test.pairwise() - Permutation Tests
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bootstrap.ci() - Bootstrap Confidence Intervals
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diversity.profile() - Generate Diversity Profiles for Parametric Indices
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freq_distribution() - Plot Frequency Distribution and Density Plots
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groupwise_bar() - Plot Group-wise Bar Plots
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groupwise_histogram() - Plot Group-wise Histograms
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groupwise_dumbell() - Plot Group-wise Dumbell Plots
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uniform_barwidth_grid() - Plot a List of
ggplot2Barplots as a Grid with with Uniform Width of the Bars -
remove_scales() - Remove scales from
ggplotobjects -
dnorm_ggplot() - Function to Add Normal Distribution Curve in
ggplot2histogram
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pairwise.augmentedRCBD() - Perform Pairwise t Tests of Adjusted Means from
augmentedRCBDOutput -
mse.bartlett.test() - Bartlett's Test of Homogeneity of Error Variances
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summary_quant()summary_qual() - Summary Statistics of Qualitative and Quantitative trait data
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prep_mstrat_input() - Prepare Input Files for
MStrat -
prep_powercore_input() - Prepare Input Files for
PowerCore
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parse_mstrat_out() - Parse Output Files from
MStrat