Package index • petersenlab

Accuracy of Judgments/Predictions

accuracyAtCutoff(): Accuracy at a Given Cutoff.

accuracyAtEachCutoff(): Accuracy at Each Cutoff.

accuracyOverall() wisdomOfCrowd(): Overall Accuracy.

nomogrammer(): Create Nomogram.

optimalCutoff(): Optimal Cutoff.

posttestOdds() posttestProbability(): Posttest Odds & Probability.

Assessment and Scoring

Behavior Frequency

timesPerInterval() timesPerLifetime() computeItemFrequencies() computeLifetimeFrequencies(): Frequency Per Duration.

Behavior Intensity

recode_intensity() mark_intensity_as_zero(): Recode Intensity.

Research Electronic Data Capture (REDCap)

redcapProgressBar(): Progress Bar for REDCap.

Bayesian

deriv_d_negBinom() d_negBinom() log_gen_binom() deriv_logd_negBinom() info_neg_binom_analytical() item_info_NB_zero_analytical() item_info_NB_analytical() test_info_NB() error_variance_NB() reliability_NB(): Item and Test Information from Zero-Inflated Negative Binomial Model.

pA() pB() pAgivenB() pBgivenA() pAgivenNotB() pBgivenNotA(): Bayes' Theorem.

Correlation

addText(): Add Correlation to Scatterplot.

attenuationCorrelation(): Attenuation of True Correlation Due to Measurement Error.

cor.table(): Correlation Matrix.

crossTimeCorrelation(): Cross-Time Correlations.

crossTimeCorrelationDF(): Cross-Time Correlations Dataframe.

disattenuationCorrelation(): Disattenuation of Observed Correlation Due to Measurement Error.

partialcor.table(): Partial Correlation Matrix.

vwReg(): Visually Weighted Regression.

Data Management

Computations

meanSum(): Mean Sum.

Mode(): Statistical Mode.

mySum(): My Sum.

kish_ess() wquantile_generic() whdquantile() wthdquantile() wquantile(): Weighted Quantiles.

Conversion

convert.magic(): Convert Variable Types.

convertHoursAMPM(): Convert AM and PM Hours.

percentileToTScore(): Percentile to T-Score Conversion.

pom(): Proportion of Maximum (POM).

convertToHours(): Convert Time to Hours.

convertToMinutes(): Convert Time to Minutes.

convertToSeconds(): Convert Time to Seconds.

reverse_score(): Reverse Score Variables.

Data Evaluation

not_all_na(): Any Rows Not NA.

dropColsWithAllNA(): Drop NA columns.

dropRowsWithAllNA(): Drop NA rows.

is.nan(<data.frame>): NaN (Not a Number).

not_any_na(): Not Any NA.

Data Manipulation

columnBindFill(): Column Bind and Fill.

convert.magic(): Convert Variable Types.

dropColsWithAllNA(): Drop NA columns.

dropRowsWithAllNA(): Drop NA rows.

varsDifferentTypes(): Identify Variables of Different Types.

Encryption

read.aes(): Read Encrypted Data.

write.aes(): Write Encrypted Data.

Formatting Values

apa(): APA Format

pValue(): p-values.

specify_decimal(): Specify Decimals.

suppressLeadingZero(): Suppress Leading Zero.

Handling Time Data

convertHoursAMPM(): Convert AM and PM Hours.

convertToHours(): Convert Time to Hours.

convertToMinutes(): Convert Time to Minutes.

convertToSeconds(): Convert Time to Seconds.

Operators

`%ni%`: NOTIN Operator.

Utilities

robust_load(): Robustly Load R Objects from a URL with Retry Logic

Grants

percentEffort() personMonths(): Person Months.

Lab

setLabPath(): Set Lab Path.

Latent Variable Modeling

Factor Analysis

my_loadings_sorter(): Sorts loadings from exploratory factor analysis.

Item Response Theory (IRT)

fourPL(): 4-Parameter Logistic Curve.

discriminationToFactorLoading(): Discrimination (IRT) to Standardized Factor Loading.

test_info_4PL() error_variance_4PL() reliability_4PL(): Test Information from Logistic IRT Model.

deriv_d_negBinom() d_negBinom() log_gen_binom() deriv_logd_negBinom() info_neg_binom_analytical() item_info_NB_zero_analytical() item_info_NB_analytical() test_info_NB() error_variance_NB() reliability_NB(): Item and Test Information from Zero-Inflated Negative Binomial Model.

itemInformation(): Item Information.

reliabilityIRT(): Reliability (IRT).

standardErrorIRT(): Standard Error of Measurement (IRT).

Structural Equation Modeling (SEM)

make_esem_model(): Make ESEM Model.

equiv_chi(): Chi-Square Equivalence Test for Structural Equation Models.

puc(): Percent of Uncontaminated Correlations (PUC).

satorraBentlerScaledChiSquareDifferenceTestStatistic(): Satorra-Bentler Scaled Chi-Square Difference Test Statistic.

semPlotInteraction(): Plot interaction from SEM model.

Miscellaneous

Baking

adjust_sourdough_time(): Adjust Sourdough Recipe Fermentation and Proofing Times Based on Temperature

Fantasy Football

cleanUpNames(): Clean Up Player Names For Merging.

Personal Finance

mortgage(): Mortgage Principal and Interest.

Missing Data Handling

Multiple Imputation

imputationCombine(): Combine Results from Mixed Effect Imputation Models.

imputationModelCompare(): Compare Mixed Effect Imputation Models.

imputationPRV(): Proportional Reduction of Variance from Imputation Models.

lmCombine(): Combine Results from Multiple Regression Imputation Models.

Multiple Regression

lmCombine(): Combine Results from Multiple Regression Imputation Models.

plot2WayInteraction(): Plot 2-way interaction.

ppPlot(): PP Plot.

update_nested(): Update Nested Models in Hierarchical Regression.

semPlotInteraction(): Plot interaction from SEM model.

Packages

load_or_install(): Load or Install Packages.

getDependencies(): Package Dependencies.

Plotting

addText(): Add Correlation to Scatterplot.

plot2WayInteraction(): Plot 2-way interaction.

ppPlot(): PP Plot.

semPlotInteraction(): Plot interaction from SEM model.

vwReg(): Visually Weighted Regression.

Psychometrics

Reliability

reliabilityOfDifferenceScore(): Reliability of Difference Score.

reliabilityIRT(): Reliability (IRT).

deriv_d_negBinom() d_negBinom() log_gen_binom() deriv_logd_negBinom() info_neg_binom_analytical() item_info_NB_zero_analytical() item_info_NB_analytical() test_info_NB() error_variance_NB() reliability_NB(): Item and Test Information from Zero-Inflated Negative Binomial Model.

repeatability(): Repeatability.

Regression

Mixed Model

lmeSummary(): Summarize mixed effects model.

lm.beta.lmer(): Obtain standardized regression coefficients from lmer model.

Simulation

simulateAUC(): Simulate Area Under the ROC Curve (AUC).

complement(): Simulate Complement Variable.

simulateIndirectEffect(): Simulate Indirect Effect.

Time Data

convertHoursAMPM(): Convert AM and PM Hours.

convertToHours(): Convert Time to Hours.

convertToMinutes(): Convert Time to Minutes.

convertToSeconds(): Convert Time to Seconds.