Tidy Presentation of Clinical Reporting
Add spaces to strings in LaTeX
fit box cox transformed linear model
Capitalize a string
Clear variable labels from a data frame
Get covariate summary dataframe
fit crr model
Retrieve columns number from spreadsheet columns specified as unquoted...
Retrieve spreadsheet column letter-names from columns indices
Extract variable labels from labelled data frame
Create a forest plot using ggplot2
Create a multivariable forest plot using ggplot2
Create an univariable forest plot using ggplot2
Combine an univariable and multivariable forest plot using ggplot2
Specific p-value formatting
Parameter Estimation for the Box-Cox Transformation
Plot KM and CIF curves with ggplot
Plot KM and CIF curves with ggplot
Plot KM and CIF curves with ggplot
Additional parameters passed to ggkmcif2
Bold strings in HTML
Bold strings in LaTeX
Formats p-values for LaTeX
Output a table for multivariate or univariate regression models
Get multivariate summary dataframe
Combine two table columns into a single column with levels of one nest...
Lean strings for printing
Round retaining digits
Print tables to PDF/Latex HTML or Word
Plot multiple bivariate relationships in a single plot
Round and paste with parentheses
Paste with parentheses
Formats p-values
Replace variable names with labels in ggplot
Summarize cumulative incidence by group
Output a compact summary table
Outputs a descriptive covariate table
Format a regression model nicely for 'Rmarkdown'
Display event counts, expected event counts and logrank test of differ...
Summarise survival data by group
Display survival rates and events for specified times
Combine univariate and multivariable regression tables
Output several univariate models nicely in a single table
Replace dollar signs with html for proper HTML output
Sanitizes strings to not break LaTeX
Output a scrollable table
Set variable labels
Set variable labels
Get univariate summary dataframe
Helper function: xvar_function.default
Create a summary table for an individual covariate
Streamlined statistical reporting in 'Rmarkdown' environments. Facilitates the automated reporting of descriptive statistics, multiple univariate models, multivariable models and tables combining these outputs. Plotting functions include customisable survival curves, forest plots from logistic and ordinal regression and bivariate comparison plots.