Errors: colon in factor levels
Merge a summary_factorlist()
table with any number of model
results tables.
Help making stratified summary_factorlist tables
magrittr exposition pipe-operator
Relabel variables from data frame after tidyverse functions
Remove p-value from output
Remove regression reference level row from table
Add row totals to summary_factorlist()
output
Label a variable
Parse a formula to finalfit grammar
Generate newdata for simulations
Make an interaction variable and add to dataframe
Produce a table and plot
Extract model output to dataframe
Final output tables for common regression models
Extract model fit results to dataframe (generic): finalfit
model
extractors
Chemotherapy for Stage B/C colon cancer
Generate common metrics for regression model results
Format n and percent as a character
Relabel variables in a data frame
Mixed effects binomial logistic regression models: finalfit
model wrapper
Include only percentages for factors in summary_factorlist
output
Test character describes survival object
finalfit: Quickly create elegant final results tables and plots when modelling.
Missing values pairs plot
Hosmer-Lemeshow goodness of fit test
Labels to level
Mixed effects linear regression models: finalfit
model wrapper
Binomial logistic regression univariable models: finalfit
model wrapper
Characterise missing data for finalfit
models
Binomial logistic regression multivariable models: finalfit
model
wrapper
Compare missing data
Missing values occurrence plot
Remove rows where all specified variables are missing
Permuate explanatory variables to produce multiple output tables for common
regression models
Pipe operator
Labels to column names
Produce a hazard ratio table and plot
Binomial logistic regression multivariable models with bootstrapped
confidence intervals: finalfit
model wrapper
Remove duplicates and replace
Create predictorMatrix for use with mice
Linear regression multivariable models: finalfit
model wrapper
Determine type/class of a variable
Label plot title
Linear regression univariable models: finalfit
model wrapper
Univariable survey-weighted generalised linear models
Print methods for finalfit data frames
Western Collaborative Group Study
Missing values data frame
Round values but keep trailing zeros
Summarise a set of factors (or continuous variables) by a dependent variable
Remove intercept from model output
Plot survival curves with number-at-risk table
Remove variable labels.
Remove duplicate levels within summary_factorlist
: finalfit
helper function
Multivariable survey-weighted generalised linear models
Summary of missing values
summary_factorlist_stratified
Summarise a set of factors (or continuous variables) by a dependent variable
Call to mice:::summary.mipo
Produce an odds ratio table and plot
Round p-values but keep trailing zeros
magrittr compound assignment pipe-operator
Produce a coefficient table and plot
Check accurate recoding of variables
Cox proprotional hazards univariable models: finalfit
model wrapper
Compare bootstrapped distributions
Bootstrap simulation for model prediction
Cox proprotional hazards multivariable models: finalfit
model wrapper
Add column totals to summary_factorlist()
output
Extract variable labels from dataframe
Competing risks univariable regression: finalfit
model wrapper
Make a label for the dependent variable
Condense model output dataframe for final tables
Deprecated catTest from Hmisc for reverse dependencies
Extract variable labels and names
Eval for `lm` and `glm` model wrappers
Competing risks multivariable regression: finalfit
model wrapper
Descriptive statistics for dataframe
Generate formula as character string