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Hmisc (version 3.0-1)

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

215,759

Version

3.0-1

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 (3.0-1)

Design Effect and Intra-cluster Correlation

Read Comma-Separated Text Data Files

Generic Functions and Methods for Imputation

Convert an S object to LaTeX, and Related Utilities

Enhanced Importing of SAS Transport Files using read.xport

hist.data.frame

Histograms for Variables in a Data Frame

Additive Regression and Transformations using ace or avas

Internal Hmisc functions

Statistics by Categories

Linear Extrapolation

Find Matching (or Non-Matching) Elements

Check if All Elements in Character Vector are Numeric

Box-percentile plots

Metadata for a Data Frame

Harrell-Davis Distribution-Free Quantile Estimator

Matrix of Hoeffding's D Statistics

Graphic Representation of a Frequency Table

Power of Interaction Test for Exponential Survival

Power and Sample Size for Two-Sample Binomial Test

Miscellaneous Functions

Cut a Numeric Variable into Intervals

Lag a Numeric, Character, or Factor Vector

Confidence Intervals for Binomial Probabilities

dropUnusedLevels

Create Temporary Factor Subsetting Function

Reshape Matrices and Serial Data

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

Convert an S object to HTML

First Word in a String or Expression

Compute Summary Statistics on a Vector

Produces event.history graph for survival data

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

Indexes of Absolute Prediction Error for Linear Models

Representativeness of Observations in a Data Set

Find Close Matches

Plot Restricted Cubic Spline Function

One-Dimensional Scatter Diagram, Spike Histogram, or Density

Do-nothing na.action

Pretty-print the Structure of a Data Object

Enhanced Dot Chart

Somers' Dxy Rank Correlation

Print and Object with its Name

Draw Axes With Side-Specific mgp Parameters

Enhanced Importing of SPSS Files

Bootstrap Kaplan-Meier Estimates

Power and Sample Size for Ordinal Response

print.char.matrix

Function to print a matrix with stacked cells

plotCorrPrecision

Plot Precision of Estimate of Pearson Correlation Coefficient

Box-Percentile Panel Function for Trellis

Character String Editing and Miscellaneous Character Handling Functions

First Principal Component

Character strings from unquoted names

Source a File from the Current Working Directory

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

Minor Tick Marks

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

Translate Vector or Matrix of Text Strings

Reorder Factor Levels

Gaussian Bayesian Posterior and Predictive Distributions

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

Restricted Cubic Spline Design Matrix

rcspline.restate

Re-state Restricted Cubic Spline Function

summary.formula

Summarize Data for Making Tables and Plots

Overview of Hmisc Library

Date/Time/Directory Stamp the Current Plot

Bootstrap Repeated Measurements Model

Back to Back Histograms

Convert between the 4 different coordinate sytems on a graphical device

t-test for Clustered Data

Convert a SAS Dataset to an S Data Frame

Variable Clustering

Power of Cox/log-rank Two-Sample Test

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

Rank Correlation for Censored Data

Row-wise Deletion na.action

Flexible Event Chart for Time-to-Event Data

na.detail.response

Detailed Response Variable Information

Generate Multinomial Random Variables with Varying Probabilities

Group Sequential Boundaries using the Lan-DeMets Approach

Sample Size for 2-sample Binomial

Mean x vs. function of y in groups of x

Matrix of Correlations and Generalized Spearman Rank Correlation

Display Colors, Plotting Symbols, and Symbol Numeric Equivalents

solve Function with tol argument

Faciliate Use of save and load to Remote Directories

Score a Series of Binary Variables

Run Unix or Dos Depending on System

Empirical Cumulative Distribution Plot

Find Matching (or Non-Matching) Elements

Store an Object Permanently

Special Version of legend for R

Transformations/Imputations using Canonical Variates

Summarize Scalars or Matrices by Cross-Classification

data.frame.create.modify.check

Tips for Creating, Modifying, and Checking Data Frames

Plot Error Bars

Apply a Function to Rows of a Matrix or Vector

Enhanced Importing of STATA Files

Format a Data Frame or Matrix for LaTeX or HTML

Embed a new plot within an existing plot

Plot smoothed estimates

Units Attribute of a Vector

Weighted Statistical Estimates

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

Label Attribute of an Object

Rank Correlation for Paired Predictors with a Censored Response

Update a Data Frame or Cleanup a Data Frame after Importing

Store Discriptive Information About an Object

Open a Zip File From a URL.