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Hmisc (version 2.0-3)

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

239,275

Version

2.0-3

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 (2.0-3)

na.detail.response

Detailed Response Variable Information

Print and Object with its Name

Miscellaneous Functions

Power of Cox/log-rank Two-Sample Test

Row-wise Deletion na.action

Matrix of Correlations and Generalized Spearman Rank Correlation

Lag a Numeric, Character, or Factor Vector

Rank Correlation for Paired Predictors with a Censored Response

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

Character String Editing and Miscellaneous Character Handling Functions

Gaussian Bayesian Posterior and Predictive Distributions

solve Function with tol argument

Power and Sample Size for Two-Sample Binomial Test

Score a Series of Binary Variables

Bootstrap Kaplan-Meier Estimates

Label Attribute of an Object

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

hist.data.frame

Histograms for Variables in a Data Frame

plotCorrPrecision

Plot Precision of Estimate of Pearson Correlation Coefficient

Variable Clustering

Overview of Hmisc Library

Box-Percentile Panel Function for Trellis

Cut a Numeric Variable into Intervals

Restricted Cubic Spline Design Matrix

Empirical Cumulative Distribution Plot

Enhanced Importing of SAS Transport Files using read.xport

Summarize Scalars or Matrices by Cross-Classification

Translate Vector or Matrix of Text Strings

Confidence Intervals for Binomial Probabilities

t-test for Clustered Data

Somers' Dxy Rank Correlation

Character strings from unquoted names

data.frame.create.modify.check

Tips for Creating, Modifying, and Checking Data Frames

Linear Extrapolation

Representativeness of Observations in a Data Set

Design Effect and Intra-cluster Correlation

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

Rank Correlation for Censored Data

Convert a SAS Dataset to an S Data Frame

Back to Back Histograms

Plot Restricted Cubic Spline Function

Reorder Factor Levels

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

Format a Data Frame or Matrix for LaTeX or HTML

First Word in a String or Expression

Metadata for a Data Frame

Reshape Matrices and Serial Data

Compute Summary Statistics on a Vector

Matrix of Hoeffding's D Statistics

Units Attribute of a Vector

Power of Interaction Test for Exponential Survival

Harrell-Davis Distribution-Free Quantile Estimator

Find Close Matches

Flexible Event Chart for Time-to-Event Data

Draw Axes With Side-Specific mgp Parameters

Pretty-print the Structure of a Data Object

Sample Size for 2-sample Binomial

summary.formula

Summarize Data for Making Tables and Plots

Source a File from the Current Working Directory

Statistics by Categories

Do-nothing na.action

Weighted Statistical Estimates

Graphic Representation of a Frequency Table

Minor Tick Marks

Find Matching (or Non-Matching) Elements

Internal Hmisc functions

Bootstrap Repeated Measurements Model

Indexes of Absolute Prediction Error for Linear Models

Compute the Interaction of Several Factors

Display Colors, Plotting Symbols, and Symbol Numeric Equivalents

print.char.matrix

Function to print a matrix with stacked cells

Produces event.history graph for survival data

Mean x vs. function of y in groups of x

Generic Functions and Methods for Imputation

Convert an S object to HTML

Additive Regression and Transformations using ace or avas

Store an Object Permanently

First Principal Component

Generate Multinomial Random Variables with Varying Probabilities

Update a Data Frame or Cleanup a Data Frame after Importing

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

Enhanced Importing of SPSS Files

Plot Error Bars

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

Group Sequential Boundaries using the Lan-DeMets Approach

Power and Sample Size for Ordinal Response

Special Version of legend for R

Check if All Elements in Character Vector are Numeric

Enhanced Dot Chart

rcspline.restate

Re-state Restricted Cubic Spline Function

One-Dimensional Scatter Diagram, Spike Histogram, or Density

Date/Time/Directory Stamp the Current Plot

Plot smoothed estimates

Box-percentile plots

Convert an S object to LaTeX, and Related Utilities

Run Unix or Dos Depending on System

Transformations/Imputations using Canonical Variates

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