Man pages for JWileymisc
Miscellaneous Utilities and Functions
| aces_daily | Multilevel Daily Data Example |
| APAStyler | A generic function for pretty printing in (semi) APA Style |
| APAStyler.list | APAStyler method for lists |
| APAStyler.lm | APAStyler method for linear models |
| APAStyler.mira | A generic function for pretty printing in (semi) APA Style |
| APAStyler.modelTest.lm | APAStyler method for model tests from a linear model |
| APAStyler.modelTest.vglm | APAStyler method for model tests from a vglm multinomial... |
| APAStyler.SEMSummary | A generic function for pretty printing in (semi) APA Style |
| as.na | Coerces vectors to missing |
| cd | Change directory |
| CheckVals | Score a set of items to create overall scale score |
| compareIVs | Compares the effects of various independent variables on... |
| compressedrds | Save and read RDS functions for using multithreaded "ZSTD" or... |
| cor2cov | Convert a correlation matrix and standard deviations to a... |
| corOK | Return a non-missing correlation matrix |
| corplot | Heatmap of a Correlation Matrix |
| cramerV | Calculate Phi or Cramer's V effect size |
| diffCircular | Calculate the Circular Difference |
| dot-allmissing | Determine which if any variables are all missing in a dataset |
| dot-fround | Function to round and format a number |
| dot-quantilePercentiles | Internal Function to Calculate Quantiles |
| egltable | Function makes nice tables |
| empirical_pvalue | Calculates an empirical p-value based on the data |
| findSigRegions | Function to find significant regions from an interaction |
| formatHtest | Function to format the reuslts of a hypothesis test as text |
| formatMedIQR | Function to format the median and IQR of a variable |
| formatPval | Function to simplify formatting p-values for easy viewing /... |
| f.r2 | Calculate F and p-value from the R2 |
| gglikert | Creates a plot for likert scale |
| hashDataset | Create a character vector or file hash of a dataset and each... |
| internalcompareIV | Compares the effects of various independent variables |
| internalformulaIt | Internal function to create a formula |
| internalrunIt | Internal function to run a model using gam() |
| intSigRegGraph | Function to find significant regions from an interaction |
| is.naz | Is a variable missing, non finite or zero length character? |
| lagk | Create a lagged variable |
| lm2 | Modified lm() to use a specified design matrix |
| meanCircular | Calculate a Circular Mean |
| modelCompare | Compare Two Models |
| modelDiagnostics | Model Diagnostics Functions |
| modelPerformance | Return Indices of Model Performance |
| modelTest | Detailed Tests on Models |
| moments | Estimate the first and second moments |
| naz.omit | Missing and Zero Character Omit |
| param_summary | Calculates summaries for a parameter |
| param_summary_format | Format a data frame of summary statistics |
| plot.modelDiagnostics.lm | Plot Diagnostics for an lm model |
| plot.residualDiagnostics | Plot Residual Diagnostics Default Method |
| plot.SEMSummary | Plots SEMSummary object |
| plot.SEMSummary.list | Plots SEMSummary.list object |
| plot.testDistribution | Plot method for testDistribution objects |
| R2 | Calculate R2 Values |
| residualDiagnostics | Residual Diagnostics Functions |
| roundedfivenum | Calculate a rounded five number summary |
| scoring | Score a set of items to create overall scale score - generic |
| SEMSummary | Summary Statistics for a SEM Analysis |
| SEMSummary.fit | Summary Statistics for a SEM Analysis |
| smd | Calculate Standardized Mean Difference (SMD) |
| star | Function to simplify converting p-values to asterisks |
| styledescriptives | Several internal functions to style descriptive statistics |
| styletests | Several internal functions to style inference tests |
| testDistribution | Test the distribution of a variable against a specific... |
| timeshift | Shift a time variable to have a new center (zero point) |
| TukeyHSDgg | Tukey HSD Plot |
| VAConverter | Visual Acuity Converter |
| vainternal | Internal Visual Acuity Functions |
| VAObject-class | An S4 class to hold visual acuity data |
| VASummaryObject-class | An S4 class to hold visual acuity summary data |
| winsorizor | Winsorize at specified percentiles |
