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Hmisc (version 2.0-4)

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

176,986

Version

2.0-4

License

GPL version 2 or newer

Homepage

http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html

Maintainer

Frank E Harrell Jr

Last Published

March 16th, 2025

Functions in Hmisc (2.0-4)

Linear Extrapolation

Enhanced Dot Chart

Representativeness of Observations in a Data Set

Produces event.history graph for survival data

Cut a Numeric Variable into Intervals

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

Miscellaneous Functions

Indexes of Absolute Prediction Error for Linear Models

Date/Time/Directory Stamp the Current Plot

Find Close Matches

Convert an S object to HTML

solve Function with tol argument

Internal Hmisc functions

One-Dimensional Scatter Diagram, Spike Histogram, or Density

Run Unix or Dos Depending on System

Do-nothing na.action

Box-percentile plots

Restricted Cubic Spline Design Matrix

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

Matrix of Hoeffding's D Statistics

Reshape Matrices and Serial Data

Design Effect and Intra-cluster Correlation

Lag a Numeric, Character, or Factor Vector

Flexible Event Chart for Time-to-Event Data

Find Matching (or Non-Matching) Elements

First Word in a String or Expression

Additive Regression and Transformations using ace or avas

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

Overview of Hmisc Library

Rank Correlation for Censored Data

Check if All Elements in Character Vector are Numeric

hist.data.frame

Histograms for Variables in a Data Frame

Back to Back Histograms

Pretty-print the Structure of a Data Object

Compute the Interaction of Several Factors

Harrell-Davis Distribution-Free Quantile Estimator

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

Variable Clustering

Statistics by Categories

Score a Series of Binary Variables

Label Attribute of an Object

Bootstrap Kaplan-Meier Estimates

print.char.matrix

Function to print a matrix with stacked cells

Row-wise Deletion na.action

Draw Axes With Side-Specific mgp Parameters

Group Sequential Boundaries using the Lan-DeMets Approach

Format a Data Frame or Matrix for LaTeX or HTML

Minor Tick Marks

Power of Interaction Test for Exponential Survival

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

Power and Sample Size for Two-Sample Binomial Test

Power and Sample Size for Ordinal Response

Summarize Scalars or Matrices by Cross-Classification

Units Attribute of a Vector

Compute Summary Statistics on a Vector

Plot Error Bars

Confidence Intervals for Binomial Probabilities

Gaussian Bayesian Posterior and Predictive Distributions

First Principal Component

Box-Percentile Panel Function for Trellis

Plot smoothed estimates

Enhanced Importing of SAS Transport Files using read.xport

Plot Restricted Cubic Spline Function

data.frame.create.modify.check

Tips for Creating, Modifying, and Checking Data Frames

Store an Object Permanently

Convert an S object to LaTeX, and Related Utilities

Sample Size for 2-sample Binomial

Convert a SAS Dataset to an S Data Frame

Print and Object with its Name

Display Colors, Plotting Symbols, and Symbol Numeric Equivalents

rcspline.restate

Re-state Restricted Cubic Spline Function

Generic Functions and Methods for Imputation

t-test for Clustered Data

Metadata for a Data Frame

Enhanced Importing of SPSS Files

Power of Cox/log-rank Two-Sample Test

Mean x vs. function of y in groups of x

Character strings from unquoted names

Translate Vector or Matrix of Text Strings

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

Weighted Statistical Estimates

Matrix of Correlations and Generalized Spearman Rank Correlation

Update a Data Frame or Cleanup a Data Frame after Importing

Character String Editing and Miscellaneous Character Handling Functions

Generate Multinomial Random Variables with Varying Probabilities

Special Version of legend for R

Rank Correlation for Paired Predictors with a Censored Response

Transformations/Imputations using Canonical Variates

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

summary.formula

Summarize Data for Making Tables and Plots

Somers' Dxy Rank Correlation

na.detail.response

Detailed Response Variable Information

Reorder Factor Levels

Bootstrap Repeated Measurements Model

Source a File from the Current Working Directory

Empirical Cumulative Distribution Plot

plotCorrPrecision

Plot Precision of Estimate of Pearson Correlation Coefficient

Graphic Representation of a Frequency Table