Package index • SciDataReportR

All functions

AddToCodebook(): Add a new variable to a codebook

ConvertOrdinalToNumeric(): ConvertOrdinalToNumeric

CreateMCATable(): CreateMCATable

CreatePCATable(): Create PCA Table and Visualization

CreateStatisticsTable(): Create Statistics Table

CreateSummaryTable(): Create Summary Table

CreateVariableTypesTemplate(): Create a Template for Variable Types

CreateZScorePlot(): Create a Z-Score Plot with Statistical Significance

FormattedDataDictionary(): Create a formatted data dictionary table

InsertValues(): Insert Values into a String Array

MakeTable1(): Create Summary Table using gtsummary

Make_DataDictionary(): Create a data dictionary for a data frame

Merge_ByClosestTime(): Merge Two Data Frames by Closest Time

Plot2GroupStats(): Plot and Summarize Group Statistics

PlotAnovaRelationshipsMatrix(): Plot ANOVA Relationships Matrix

PlotAssociations(): Plot Associations

PlotBlandAltman(): Plot Bland-Altman Agreement Plot

PlotCatInteractionEffectsMatrix(): Plot Categorical Interaction Effects Matrix

PlotCategoricalDistributions(): Plot Categorical Distributions

PlotChiSqCovar(): Plot Chi-Square Test with Covariate

PlotContinuousDistributions(): Plot Continuous Distributions

PlotCorrelationsHeatmap(): Plot Correlations Heatmap

PlotDirectionalHeatmaps(): This function creates directional heatmaps for the associations between continuous and binary variables. It identifies continuous and binary variables in the dataset and computes correlations using appropriate methods.

PlotInteractionEffectsContinuous(): PlotInteractionEffectsContinuous

PlotMiningMatrix(): PlotMiningMatrix

PlotMissingData(): Plot Missing Data

PlotNumInteractionEffectsMatrix(): Plot Numerical Interaction Effects Matrix

PlotPValueComparisons(): Plot P-Value Comparisons

PlotPhiHeatmap(): Plot Phi Heatmap

PlotPointCorrelationsHeatmap(): Plot Point-Biserial Correlations Between Binary and Continuous Variables

PlotTimeDistribution(): Plot Time Distribution

ReValueFactors(): Revalue Factors

ReplaceMissingCode(): Replace Missing Codes with NA

ReplaceMissingLabels(): Replace Missing Labels in Dataframe Columns

RevalueData(): Revalue Data

SampleData: SampleData for practicing SciDataReportR functions

SampleVariableTypes: Example Dataset: SampleVariableTypes

UnivariateRegressionTable(): Univariate Regression Table

UpdateDataDictionary(): Update an existing data dictionary with new variables and types

createBinaryMapping(): Create a Mapping Table for Binary Variables

createFacetLabels(): Create facet labels for ggplot2 based on variable labels in a data frame

geom_starcaption(): Add a Caption Explaining Star Annotations

getBinaryVars(): Identify Binary Variables

getCatVars(): Get Categorical Variables

getNumVars(): Get Numeric Variables

`%!in%`: Negated "in" Operator

plotForestFromTable(): Create a Forest Plot from Univariate Regression Tables

plotPCA(): Plot 3D PCA Scores

plotSigAssociations(): Plot Significant Associations

plotSigCorrelations(): Plot Significant Correlations

removeString(): Remove Strings from a Vector

reverseFactorLevels(): Reverse Levels of Categorical Factors

windsorize(): Windsorize