Hmisc v3.0-1

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Harrell Miscellaneous

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.

Functions in Hmisc

Name Description
deff Design Effect and Intra-cluster Correlation
csv.get Read Comma-Separated Text Data Files
impute Generic Functions and Methods for Imputation
latex Convert an S object to LaTeX, and Related Utilities
sasxport.get Enhanced Importing of SAS Transport Files using read.xport
eip Edit In Place
hist.data.frame Histograms for Variables in a Data Frame
transace Additive Regression and Transformations using ace or avas
Hmisc-internal Internal Hmisc functions
bystats Statistics by Categories
approxExtrap Linear Extrapolation
.in. Find Matching (or Non-Matching) Elements
all.is.numeric Check if All Elements in Character Vector are Numeric
bpplot Box-percentile plots
contents Metadata for a Data Frame
hdquantile Harrell-Davis Distribution-Free Quantile Estimator
hoeffd Matrix of Hoeffding's D Statistics
symbol.freq Graphic Representation of a Frequency Table
ciapower Power of Interaction Test for Exponential Survival
bpower Power and Sample Size for Two-Sample Binomial Test
Misc Miscellaneous Functions
cut2 Cut a Numeric Variable into Intervals
Lag Lag a Numeric, Character, or Factor Vector
binconf Confidence Intervals for Binomial Probabilities
dropUnusedLevels Create Temporary Factor Subsetting Function
reShape Reshape Matrices and Serial Data
getHdata Download and Install Datasets for Hmisc, Design, and Statistical Modeling
html Convert an S object to HTML
first.word First Word in a String or Expression
smean.sd Compute Summary Statistics on a Vector
event.history Produces event.history graph for survival data
describe Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula
abs.error.pred Indexes of Absolute Prediction Error for Linear Models
dataRep Representativeness of Observations in a Data Set
find.matches Find Close Matches
rcspline.plot Plot Restricted Cubic Spline Function
scat1d One-Dimensional Scatter Diagram, Spike Histogram, or Density
na.keep Do-nothing na.action
list.tree Pretty-print the Structure of a Data Object
dotchart2 Enhanced Dot Chart
somers2 Somers' Dxy Rank Correlation
prnz Print and Object with its Name
mgp.axis Draw Axes With Side-Specific mgp Parameters
spss.get Enhanced Importing of SPSS Files
bootkm Bootstrap Kaplan-Meier Estimates
popower 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
panel.bpplot Box-Percentile Panel Function for Trellis
sedit Character String Editing and Miscellaneous Character Handling Functions
pc1 First Principal Component
Cs Character strings from unquoted names
src Source a File from the Current Working Directory
labcurve Label Curves, Make Keys, and Interactively Draw Points and Curves
minor.tick Minor Tick Marks
spower Simulate Power of 2-Sample Test for Survival under Complex Conditions
translate Translate Vector or Matrix of Text Strings
reorder.factor Reorder Factor Levels
gbayes Gaussian Bayesian Posterior and Predictive Distributions
aregImpute Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching
rcspline.eval Restricted Cubic Spline Design Matrix
rcspline.restate Re-state Restricted Cubic Spline Function
summary.formula Summarize Data for Making Tables and Plots
Overview Overview of Hmisc Library
pstamp Date/Time/Directory Stamp the Current Plot
rm.boot Bootstrap Repeated Measurements Model
histbackback Back to Back Histograms
cnvrt.coords Convert between the 4 different coordinate sytems on a graphical device
t.test.cluster t-test for Clustered Data
sas.get Convert a SAS Dataset to an S Data Frame
varclus Variable Clustering
cpower Power of Cox/log-rank Two-Sample Test
xYplot xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands
rcorr.cens Rank Correlation for Censored Data
na.delete Row-wise Deletion na.action
event.chart Flexible Event Chart for Time-to-Event Data
na.detail.response Detailed Response Variable Information
rMultinom Generate Multinomial Random Variables with Varying Probabilities
ldBands Group Sequential Boundaries using the Lan-DeMets Approach
samplesize.bin Sample Size for 2-sample Binomial
xy.group Mean x vs. function of y in groups of x
mtitle Margin Titles
rcorr Matrix of Correlations and Generalized Spearman Rank Correlation
show.pch Display Colors, Plotting Symbols, and Symbol Numeric Equivalents
solvet solve Function with tol argument
Save Faciliate Use of save and load to Remote Directories
score.binary Score a Series of Binary Variables
sys Run Unix or Dos Depending on System
ecdf Empirical Cumulative Distribution Plot
%nin% Find Matching (or Non-Matching) Elements
store Store an Object Permanently
rlegend Special Version of legend for R
transcan Transformations/Imputations using Canonical Variates
summarize Summarize Scalars or Matrices by Cross-Classification
data.frame.create.modify.check Tips for Creating, Modifying, and Checking Data Frames
errbar Plot Error Bars
mApply Apply a Function to Rows of a Matrix or Vector
stata.get Enhanced Importing of STATA Files
format.df Format a Data Frame or Matrix for LaTeX or HTML
subplot Embed a new plot within an existing plot
plsmo Plot smoothed estimates
units Units Attribute of a Vector
wtd.mean Weighted Statistical Estimates
ps.slide Postscript and Adobe PDF Setup for 35mm Slides and Other Formats
label Label Attribute of an Object
rcorrp.cens Rank Correlation for Paired Predictors with a Censored Response
upData Update a Data Frame or Cleanup a Data Frame after Importing
valueTags Store Discriptive Information About an Object
getZip Open a Zip File From a URL.
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