Functions to Streamline Statistical Analysis and Reporting

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Documentation for package ‘colleyRstats’ version 0.1.0

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%!in% Negate '%in%' membership
add_pareto_emoa_column Add 'PARETO_EMOA' Column to a Data Frame
add_pareto_moocore_column Add 'PARETO_MOOCORE' Column to a Data Frame
analyze_and_report Analyze one dependent variable and produce everything a paper needs
assumption_methods_text Methods-section sentence justifying the test selection
checkAssumptionsForAnova Check the assumptions for an ANOVA with a variable number of factors: Normality and Homogeneity of variance assumption.
check_assumptions_anova Check the assumptions for an ANOVA with a variable number of factors: Normality and Homogeneity of variance assumption.
check_homogeneity_by_group Check homogeneity of variances across groups
check_normality_by_group Check normality for groups
cite_methods Citations and methods boilerplate for the analyses used
colleyRstats_setup Configure Global R Environment for colleyRstats
data the data frame Replace values across a data frame
debug_contr_error Debug contrast errors in ANOVA-like models
generateEffectPlot Function to define a plot, either showing the main or interaction effect in bold.
generateMoboPlot Generate a Multi-objective Optimization Plot
generateMoboPlot2 Generate a Multi-objective Optimization Plot
ggbetweenstatsWithPriorNormalityCheck Check the data's distribution. If non-normal, take the non-parametric variant of _ggbetweenstats_. x and y have to be in parentheses, e.g., "ConditionID".
ggbetweenstatsWithPriorNormalityCheckAsterisk Check the data's distribution. If non-normal, take the non-parametric variant of _ggbetweenstats_. x and y have to be in parentheses, e.g., "ConditionID".
ggwithinstatsWithPriorNormalityCheck Check the data's distribution. If non-normal, take the non-parametric variant of _ggwithinstats_. x and y have to be in parentheses, e.g., "ConditionID".
ggwithinstatsWithPriorNormalityCheckAsterisk Check the data's distribution. If non-normal, take the non-parametric variant of _ggwithinstats_. x and y have to be in parentheses, e.g., "ConditionID". Add Asterisks instead of p-values.
latexify_report Transform text from 'report::report()' into LaTeX-friendly output.
latex_preamble LaTeX preamble required by the report functions
na.zero Replace NA values with zero
normalize This function normalizes the values in a vector to the range [new_min, new_max] based on their original range [old_min, old_max].
not_empty Ensure input is not empty
not_in Negate '%in%' membership
n_fun Build a median/size label for plot annotations
pathPrep Convert Windows paths to R-friendly format
plot_between_stats Check the data's distribution. If non-normal, take the non-parametric variant of _ggbetweenstats_. x and y have to be in parentheses, e.g., "ConditionID".
plot_between_stats_asterisk Check the data's distribution. If non-normal, take the non-parametric variant of _ggbetweenstats_. x and y have to be in parentheses, e.g., "ConditionID".
plot_effect Function to define a plot, either showing the main or interaction effect in bold.
plot_mobo Generate a Multi-objective Optimization Plot
plot_mobo2 Generate a Multi-objective Optimization Plot
plot_within_stats Check the data's distribution. If non-normal, take the non-parametric variant of _ggwithinstats_. x and y have to be in parentheses, e.g., "ConditionID".
plot_within_stats_asterisk Check the data's distribution. If non-normal, take the non-parametric variant of _ggwithinstats_. x and y have to be in parentheses, e.g., "ConditionID". Add Asterisks instead of p-values.
remove_outliers_REI Flag suspicious survey responses via the Response Entropy Index (REI)
replace_values Replace values across a data frame
reportART Generate the Latex-text based on the ARTool (see <https://github.com/mjskay/ARTool>). The ART result must be piped into an anova(). Only significant main and interaction effects are reported. P-values are rounded for the third digit. Attention: Effect sizes are not calculated! Attention: the independent variables of the formula and the term specifying the participant must be factors (i.e., use as.factor()).
reportArtCon Report significant ART contrasts (art.con) as LaTeX text
reportArtConTable Report ART contrasts (art.con) as a LaTeX table. Customizable with sensible defaults. Companion to 'reportDunnTestTable()'.
reportDunnTest Report dunnTest as text. Required commands in LaTeX: '\newcommand{\padjminor}{\textit{p$_{adj}<$}}' '\newcommand{\padj}{\textit{p$_{adj}$=}}' '\newcommand{\rankbiserial}[1]{$r_{rb} = #1$}'
reportDunnTestTable report Dunn test as a table. Customizable with sensible defaults. Required commands in LaTeX: '\newcommand{\padjminor}{\textit{p$_{adj}<$}}' '\newcommand{\padj}{\textit{p$_{adj}$=}}' '\newcommand{\rankbiserial}[1]{$r_{rb} = #1$}'
reportggstatsplot Report statistical details for ggstatsplot.
reportggstatsplotPostHoc Report significant post-hoc pairwise comparisons
reportMeanAndSD Report the mean and standard deviation of a dependent variable for all levels of an independent variable rounded to the 2nd digit.
reportNparLD Report the model produced by nparLD. The model provided must be the model generated by the command 'nparLD' 'nparLD' (see <https://CRAN.R-project.org/package=nparLD>).
reportNPAV Generate the Latex-text based on the NPAV by Lüpsen (see <https://www.uni-koeln.de/~luepsen/R/>). Only significant main and interaction effects are reported. P-values are rounded for the third digit and partial eta squared values are provided when possible. Attention: the independent variables of the formula and the term specifying the participant must be factors (i.e., use as.factor()).
report_all Analyze and report several dependent variables at once
report_art Generate the Latex-text based on the ARTool (see <https://github.com/mjskay/ARTool>). The ART result must be piped into an anova(). Only significant main and interaction effects are reported. P-values are rounded for the third digit. Attention: Effect sizes are not calculated! Attention: the independent variables of the formula and the term specifying the participant must be factors (i.e., use as.factor()).
report_art_con Report significant ART contrasts (art.con) as LaTeX text
report_art_con_table Report ART contrasts (art.con) as a LaTeX table. Customizable with sensible defaults. Companion to 'reportDunnTestTable()'.
report_dunn_test Report dunnTest as text. Required commands in LaTeX: '\newcommand{\padjminor}{\textit{p$_{adj}<$}}' '\newcommand{\padj}{\textit{p$_{adj}$=}}' '\newcommand{\rankbiserial}[1]{$r_{rb} = #1$}'
report_dunn_test_table report Dunn test as a table. Customizable with sensible defaults. Required commands in LaTeX: '\newcommand{\padjminor}{\textit{p$_{adj}<$}}' '\newcommand{\padj}{\textit{p$_{adj}$=}}' '\newcommand{\rankbiserial}[1]{$r_{rb} = #1$}'
report_ggstatsplot Report statistical details for ggstatsplot.
report_ggstatsplot_posthoc Report significant post-hoc pairwise comparisons
report_mean_sd Report the mean and standard deviation of a dependent variable for all levels of an independent variable rounded to the 2nd digit.
report_nparld Report the model produced by nparLD. The model provided must be the model generated by the command 'nparLD' 'nparLD' (see <https://CRAN.R-project.org/package=nparLD>).
reshape_data Reshape Excel Data Based on Custom Markers and Include Custom ID Column
rFromNPAV Calculation based on Rosenthal's formula (1994). N stands for the _number of measurements_. Necessary command:
rFromWilcox Calculation based on Rosenthal's formula (1994). N stands for the _number of measurements_.
rFromWilcoxAdjusted rFromWilcoxAdjusted
save_paper_figure Save a plot with publication-ready defaults
stat_sum_df Generating the sum and adding a crossbar.