Clinical Publication
Adding lists element-wise
Check answers of multiple choice questions
Create a baseline table for a dataset.
Generate breaks for histogram
Calculate index based on conditions
Check elements that are not numeric
Check if a package is available and provide helpful error message
Performance comparison of classification models
combine multiple data files into a single data frame
Combine multi-choice columns into one
Get common prefix of a string vector
Convert Numeric to Factor
Show non-numeric elements in a data frame
default color palette for clinpubr plots
Count the number of excluded samples at each step
Extract numbers from string.
Fill NA values with the last valid value
Filter predictors for RCS
Calculate the first mode
Format p-value for publication
Add covariates to a formula
Generate a sample of values from a vector and collapse them.
Get the subset that satisfies the missing rate condition.
Get one valid value from vector.
Get variable types for baseline table
Importance plot
Determine duplicate elements including their first occurrence.
Calculate interaction p-value
Plot interactions
Scan for interactions between variables
Mark possible outliers with MAD.
Get the maximum missing rate of rows and columns.
Merging vectors while maintaining order
Safe min and max functions that return NA if all values are NA
Replace NA values with FALSE
Plot the effect of a predictor variable
QQ plot
Plot restricted cubic spline
Basic results of logistic or Cox regression.
Obtain regression results
Forest plot of regression results
Scan for significant regression predictors
Replacing elements in a vector
Split multi-choice data into columns
Match string and replace with corresponding value
Create subgroup forest plot.
Get an overview of different subjects in data.
Test normality of a numeric variable
Convert numerical or character date to date.
Standardize units of numeric data.
Generate a table of conflicting units.
Unmake names
Preliminarily cleaning string vectors
Generate code from string vector Generate the code that can be used to...
Accelerate the process from clinical data to medical publication, including clinical data cleaning, significant result screening, and the generation of publish-ready tables and figures.
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