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Hmisc (version 2.0-0)

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, recoding variables, and bootstrap repeated measures analysis.

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Version

Install

install.packages('Hmisc')

Monthly Downloads

239,275

Version

2.0-0

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 (2.0-0)

Enhanced Dot Chart

Label Attribute of an Object

Confidence Intervals for Binomial Probabilities

Miscellaneous Functions

First Word in a String or Expression

Power of Interaction Test for Exponential Survival

Generic Functions and Methods for Imputation

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

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

plotCorrPrecision

Plot Precision of Estimate of Pearson Correlation Coefficient

Row-wise Deletion na.action

Character strings from unquoted names

print.char.matrix

Function to print a matrix with stacked cells

Produces event.history graph for survival data

Special Version of legend for R

Metadata for a Data Frame

Box-Percentile Panel Function for Trellis

Internal Hmisc functions

Matrix of Hoeffding's D Statistics

Reshape Matrices and Serial Data

Overview of Hmisc Library

Do-nothing na.action

Find Matching (or Non-Matching) Elements

Box-percentile plots

Indexes of Absolute Prediction Error for Linear Models

Linear Extrapolation

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

Back to Back Histograms

Cut a Numeric Variable into Intervals

Empirical Cumulative Distribution Plot

hist.data.frame

Histograms for Variables in a Data Frame

Format a Data Frame or Matrix for LaTeX or HTML

Display Colors, Plotting Symbols, and Symbol Numeric Equivalents

Design Effect and Intra-cluster Correlation

Representativeness of Observations in a Data Set

Power of Cox/log-rank Two-Sample Test

Source a File from the Current Working Directory

Plot Error Bars

Find Close Matches

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

Compute the Interaction of Several Factors

Additive Regression and Transformations using ace or avas

Power and Sample Size for Two-Sample Binomial Test

Convert an S object to LaTeX, and Related Utilities

data.frame.create.modify.check

Tips for Creating, Modifying, and Checking Data Frames

Check if All Elements in Character Vector are Numeric

Matrix of Correlations and Generalized Spearman Rank Correlation

Power and Sample Size for Ordinal Response

Character String Editing and Miscellaneous Character Handling Functions

Reorder Factor Levels

Statistics by Categories

Gaussian Bayesian Posterior and Predictive Distributions

Generate Multinomial Random Variables with Varying Probabilities

Rank Correlation for Paired Predictors with a Censored Response

Flexible Event Chart for Time-to-Event Data

Rank Correlation for Censored Data

Enhanced Importing of SAS Transport Files using read.xport

One-Dimensional Scatter Diagram, Spike Histogram, or Density

Draw Axes With Side-Specific mgp Parameters

Group Sequential Boundaries using the Lan-DeMets Approach

Enhanced Importing of SPSS Files

Minor Tick Marks

Convert an S object to HTML

Pretty-print the Structure of a Data Object

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

Print and Object with its Name

Date/Time/Directory Stamp the Current Plot

Plot Restricted Cubic Spline Function

Units Attribute of a Vector

summary.formula

Summarize Data for Making Tables and Plots

Store an Object Permanently

rcspline.restate

Re-state Restricted Cubic Spline Function

Somers' Dxy Rank Correlation

Transformations/Imputations using Canonical Variates

solve Function with tol argument

Run Unix or Dos Depending on System

Update a Data Frame or Cleanup a Data Frame after Importing

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

Sample Size for 2-sample Binomial

Graphic Representation of a Frequency Table

Restricted Cubic Spline Design Matrix

t-test for Clustered Data

Variable Clustering

Bootstrap Repeated Measurements Model

Translate Vector or Matrix of Text Strings

Convert a SAS Dataset to an S Data Frame

Summarize Scalars or Matrices by Cross-Classification

Score a Series of Binary Variables

Weighted Statistical Estimates

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

Mean x vs. function of y in groups of x

Lag a Numeric, Character, or Factor Vector

First Principal Component

Plot smoothed estimates

Bootstrap Kaplan-Meier Estimates

Compute Summary Statistics on a Vector

na.detail.response

Detailed Response Variable Information