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Hmisc (version 3.0-12)

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

3.0-12

License

GPL version 2 or newer

Homepage

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

Maintainer

Charles Dupont

Last Published

March 16th, 2025

Functions in Hmisc (3.0-12)

Linear Extrapolation

Back to Back Histograms

Miscellaneous Functions

Check if All Elements in Character Vector are Numeric

Power of Cox/log-rank Two-Sample Test

Power and Sample Size for Two-Sample Binomial Test

Produces event.history graph for survival data

Harrell-Davis Distribution-Free Quantile Estimator

Internal Hmisc functions

Format a Data Frame or Matrix for LaTeX or HTML

Faciliate Use of save and load to Remote Directories

Label Attribute of an Object

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

plotCorrPrecision

Plot Precision of Estimate of Pearson Correlation Coefficient

dropUnusedLevels

Create Temporary Factor Subsetting Function

Bootstrap Repeated Measurements Model

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

Sample Size for 2-sample Binomial

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

Reshape Matrices and Serial Data

Rank Correlation for Paired Predictors with a Censored Response

Plot Restricted Cubic Spline Function

Summarize Scalars or Matrices by Cross-Classification

hist.data.frame

Histograms for Variables in a Data Frame

Special Version of legend for R

Statistics by Categories

rcspline.restate

Re-state Restricted Cubic Spline Function

Plot smoothed estimates

Indexes of Absolute Prediction Error for Linear Models

Store Discriptive Information About an Object

Confidence Intervals for Binomial Probabilities

Gaussian Bayesian Posterior and Predictive Distributions

summary.formula

Summarize Data for Making Tables and Plots

Matrix of Correlations and Generalized Spearman Rank Correlation

Run Unix or Dos Depending on System

Enhanced Dot Chart

Cut a Numeric Variable into Intervals

Score a Series of Binary Variables

Character strings from unquoted names

Character String Editing and Miscellaneous Character Handling Functions

Reorder Factor Levels

Open a Zip File From a URL.

Generate Multinomial Random Variables with Varying Probabilities

Design Effect and Intra-cluster Correlation

Graphic Representation of a Frequency Table

Metadata for a Data Frame

Store an Object Permanently

Rank Correlation for Censored Data

One-Dimensional Scatter Diagram, Spike Histogram, or Density

Enhanced Importing of SPSS Files

Convert a SAS Dataset to an S Data Frame

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

Additive Regression and Transformations using ace or avas

Power of Interaction Test for Exponential Survival

Row-wise Deletion na.action

Variable Clustering

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

Read Comma-Separated Text Data Files

Translate Vector or Matrix of Text Strings

Pretty-print the Structure of a Data Object

solve Function with tol argument

Find Close Matches

na.detail.response

Detailed Response Variable Information

Print and Object with its Name

Update a Data Frame or Cleanup a Data Frame after Importing

Plot Error Bars

Matrix of Hoeffding's D Statistics

Units Attribute of a Vector

Generic Functions and Methods for Imputation

Do-nothing na.action

Flexible Event Chart for Time-to-Event Data

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

Convert an S object to HTML

Lag a Numeric, Character, or Factor Vector

Representativeness of Observations in a Data Set

Convert an S object to LaTeX, and Related Utilities

Mean x vs. function of y in groups of x

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

Box-percentile plots

Draw Axes With Side-Specific mgp Parameters

Enhanced Importing of SAS Transport Files using read.xport

Empirical Cumulative Distribution Plot

Apply a Function to Rows of a Matrix or Vector

Enhanced Importing of STATA Files

Group Sequential Boundaries using the Lan-DeMets Approach

Compute Summary Statistics on a Vector

Weighted Statistical Estimates

Display Colors, Plotting Symbols, and Symbol Numeric Equivalents

print.char.matrix

Function to print a matrix with stacked cells

Somers' Dxy Rank Correlation

Box-Percentile Panel Function for Trellis

First Principal Component

Restricted Cubic Spline Design Matrix

Date/Time/Directory Stamp the Current Plot

Minor Tick Marks

t-test for Clustered Data

Find Matching (or Non-Matching) Elements

Transformations/Imputations using Canonical Variates

Source a File from the Current Working Directory

Power and Sample Size for Ordinal Response

Overview of Hmisc Library

Bootstrap Kaplan-Meier Estimates

data.frame.create.modify.check

Tips for Creating, Modifying, and Checking Data Frames

First Word in a String or Expression