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Hmisc (version 2.0-9)

Harrell Miscellaneous

Description

The Hmisc library contains many functions useful for data analysis, high-level graphics, utility operations, functions for computing sample size and power, importing datasets, imputing missing values, advanced table making, variable clustering, character string manipulation, conversion of S objects to LaTeX code, and recoding variables.

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Version

Install

install.packages('Hmisc')

Monthly Downloads

202,697

Version

2.0-9

License

GPL version 2 or newer

Homepage

http://biostat.mc.vanderbilt.edu/s/Hmisc

Maintainer

Frank E Harrell Jr

Last Published

March 16th, 2025

Functions in Hmisc (2.0-9)

Indexes of Absolute Prediction Error for Linear Models

Statistics by Categories

Label Curves, Make Keys, and Interactively Draw Points and Curves

Rank Correlation for Censored Data

Back to Back Histograms

Special Version of legend for R

Lag a Numeric, Character, or Factor Vector

First Word in a String or Expression

Transformations/Imputations using Canonical Variates

na.detail.response

Detailed Response Variable Information

Bootstrap Kaplan-Meier Estimates

Row-wise Deletion na.action

Convert a SAS Dataset to an S Data Frame

Mean x vs. function of y in groups of x

Matrix of Hoeffding's D Statistics

Find Close Matches

Do-nothing na.action

Confidence Intervals for Binomial Probabilities

Empirical Cumulative Distribution Plot

Rank Correlation for Paired Predictors with a Censored Response

Postscript and Adobe PDF Setup for 35mm Slides and Other Formats

Power and Sample Size for Two-Sample Binomial Test

Pretty-print the Structure of a Data Object

Box-Percentile Panel Function for Trellis

Convert an S object to LaTeX, and Related Utilities

Source a File from the Current Working Directory

Internal Hmisc functions

Reorder Factor Levels

Power of Interaction Test for Exponential Survival

solve Function with tol argument

One-Dimensional Scatter Diagram, Spike Histogram, or Density

Enhanced Importing of SAS Transport Files using read.xport

data.frame.create.modify.check

Tips for Creating, Modifying, and Checking Data Frames

Metadata for a Data Frame

Reshape Matrices and Serial Data

Enhanced Importing of SPSS Files

Label Attribute of an Object

Enhanced Dot Chart

First Principal Component

Units Attribute of a Vector

Download and Install Datasets for Hmisc, Design, and Statistical Modeling

Box-percentile plots

plotCorrPrecision

Plot Precision of Estimate of Pearson Correlation Coefficient

Group Sequential Boundaries using the Lan-DeMets Approach

Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching

Power and Sample Size for Ordinal Response

summary.formula

Summarize Data for Making Tables and Plots

Restricted Cubic Spline Design Matrix

Weighted Statistical Estimates

Simulate Power of 2-Sample Test for Survival under Complex Conditions

Produces event.history graph for survival data

Harrell-Davis Distribution-Free Quantile Estimator

Representativeness of Observations in a Data Set

Check if All Elements in Character Vector are Numeric

Draw Axes With Side-Specific mgp Parameters

Generate Multinomial Random Variables with Varying Probabilities

Print and Object with its Name

Display Colors, Plotting Symbols, and Symbol Numeric Equivalents

Variable Clustering

Matrix of Correlations and Generalized Spearman Rank Correlation

Run Unix or Dos Depending on System

Bootstrap Repeated Measurements Model

hist.data.frame

Histograms for Variables in a Data Frame

Graphic Representation of a Frequency Table

Compute Summary Statistics on a Vector

Somers' Dxy Rank Correlation

Plot Error Bars

rcspline.restate

Re-state Restricted Cubic Spline Function

Generic Functions and Methods for Imputation

Plot Restricted Cubic Spline Function

Summarize Scalars or Matrices by Cross-Classification

Translate Vector or Matrix of Text Strings

Find Matching (or Non-Matching) Elements

Character strings from unquoted names

Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula

Convert an S object to HTML

Compute the Interaction of Several Factors

Overview of Hmisc Library

Additive Regression and Transformations using ace or avas

Gaussian Bayesian Posterior and Predictive Distributions

Linear Extrapolation

Plot smoothed estimates

Design Effect and Intra-cluster Correlation

Date/Time/Directory Stamp the Current Plot

Character String Editing and Miscellaneous Character Handling Functions

print.char.matrix

Function to print a matrix with stacked cells

Miscellaneous Functions

Power of Cox/log-rank Two-Sample Test

Format a Data Frame or Matrix for LaTeX or HTML

Minor Tick Marks

Update a Data Frame or Cleanup a Data Frame after Importing

Score a Series of Binary Variables

Sample Size for 2-sample Binomial

t-test for Clustered Data

Cut a Numeric Variable into Intervals

Flexible Event Chart for Time-to-Event Data

xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands

Store an Object Permanently