Hmisc v2.0-9

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