Hmisc v2.0-0
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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,
recoding variables, and bootstrap repeated measures analysis.
Functions in Hmisc
| Name | Description | |
| dotchart2 | Enhanced Dot Chart | |
| label | Label Attribute of an Object | |
| binconf | Confidence Intervals for Binomial Probabilities | |
| Misc | Miscellaneous Functions | |
| first.word | First Word in a String or Expression | |
| ciapower | Power of Interaction Test for Exponential Survival | |
| impute | Generic Functions and Methods for Imputation | |
| aregImpute | Multiple Imputation using Additive Regression, Bootstrapping, and Predictive Mean Matching | |
| getHdata | Download and Install Datasets for Hmisc, Design, and Statistical Modeling | |
| plotCorrPrecision | Plot Precision of Estimate of Pearson Correlation Coefficient | |
| na.delete | Row-wise Deletion na.action | |
| Cs | Character strings from unquoted names | |
| print.char.matrix | Function to print a matrix with stacked cells | |
| event.history | Produces event.history graph for survival data | |
| rlegend | Special Version of legend for R | |
| contents | Metadata for a Data Frame | |
| panel.bpplot | Box-Percentile Panel Function for Trellis | |
| Hmisc-internal | Internal Hmisc functions | |
| hoeffd | Matrix of Hoeffding's D Statistics | |
| reShape | Reshape Matrices and Serial Data | |
| Overview | Overview of Hmisc Library | |
| na.keep | Do-nothing na.action | |
| .in. | Find Matching (or Non-Matching) Elements | |
| bpplot | Box-percentile plots | |
| abs.error.pred | Indexes of Absolute Prediction Error for Linear Models | |
| approxExtrap | Linear Extrapolation | |
| labcurve | Label Curves, Make Keys, and Interactively Draw Points and Curves | |
| histbackback | Back to Back Histograms | |
| cut2 | Cut a Numeric Variable into Intervals | |
| ecdf | Empirical Cumulative Distribution Plot | |
| hist.data.frame | Histograms for Variables in a Data Frame | |
| format.df | Format a Data Frame or Matrix for LaTeX or HTML | |
| show.pch | Display Colors, Plotting Symbols, and Symbol Numeric Equivalents | |
| deff | Design Effect and Intra-cluster Correlation | |
| dataRep | Representativeness of Observations in a Data Set | |
| cpower | Power of Cox/log-rank Two-Sample Test | |
| src | Source a File from the Current Working Directory | |
| errbar | Plot Error Bars | |
| find.matches | Find Close Matches | |
| describe | Concise Statistical Description of a Vector, Matrix, Data Frame, or Formula | |
| interaction | Compute the Interaction of Several Factors | |
| transace | Additive Regression and Transformations using ace or avas | |
| bpower | Power and Sample Size for Two-Sample Binomial Test | |
| latex | Convert an S object to LaTeX, and Related Utilities | |
| data.frame.create.modify.check | Tips for Creating, Modifying, and Checking Data Frames | |
| all.is.numeric | Check if All Elements in Character Vector are Numeric | |
| rcorr | Matrix of Correlations and Generalized Spearman Rank Correlation | |
| popower | Power and Sample Size for Ordinal Response | |
| sedit | Character String Editing and Miscellaneous Character Handling Functions | |
| reorder.factor | Reorder Factor Levels | |
| bystats | Statistics by Categories | |
| gbayes | Gaussian Bayesian Posterior and Predictive Distributions | |
| rMultinom | Generate Multinomial Random Variables with Varying Probabilities | |
| rcorrp.cens | Rank Correlation for Paired Predictors with a Censored Response | |
| event.chart | Flexible Event Chart for Time-to-Event Data | |
| rcorr.cens | Rank Correlation for Censored Data | |
| sasxport.get | Enhanced Importing of SAS Transport Files using read.xport | |
| scat1d | One-Dimensional Scatter Diagram, Spike Histogram, or Density | |
| mgp.axis | Draw Axes With Side-Specific mgp Parameters | |
| ldBands | Group Sequential Boundaries using the Lan-DeMets Approach | |
| spss.get | Enhanced Importing of SPSS Files | |
| minor.tick | Minor Tick Marks | |
| html | Convert an S object to HTML | |
| list.tree | Pretty-print the Structure of a Data Object | |
| ps.slide | Postscript and Adobe PDF Setup for 35mm Slides and Other Formats | |
| prnz | Print and Object with its Name | |
| pstamp | Date/Time/Directory Stamp the Current Plot | |
| rcspline.plot | Plot Restricted Cubic Spline Function | |
| units | Units Attribute of a Vector | |
| summary.formula | Summarize Data for Making Tables and Plots | |
| store | Store an Object Permanently | |
| rcspline.restate | Re-state Restricted Cubic Spline Function | |
| somers2 | Somers' Dxy Rank Correlation | |
| transcan | Transformations/Imputations using Canonical Variates | |
| solvet | solve Function with tol argument | |
| sys | Run Unix or Dos Depending on System | |
| upData | Update a Data Frame or Cleanup a Data Frame after Importing | |
| xYplot | xyplot and dotplot with Matrix Variables to Plot Error Bars and Bands | |
| samplesize.bin | Sample Size for 2-sample Binomial | |
| symbol.freq | Graphic Representation of a Frequency Table | |
| rcspline.eval | Restricted Cubic Spline Design Matrix | |
| t.test.cluster | t-test for Clustered Data | |
| varclus | Variable Clustering | |
| rm.boot | Bootstrap Repeated Measurements Model | |
| translate | Translate Vector or Matrix of Text Strings | |
| sas.get | Convert a SAS Dataset to an S Data Frame | |
| summarize | Summarize Scalars or Matrices by Cross-Classification | |
| score.binary | Score a Series of Binary Variables | |
| wtd.mean | Weighted Statistical Estimates | |
| spower | Simulate Power of 2-Sample Test for Survival under Complex Conditions | |
| xy.group | Mean x vs. function of y in groups of x | |
| Lag | Lag a Numeric, Character, or Factor Vector | |
| eip | Edit In Place | |
| mtitle | Margin Titles | |
| pc1 | First Principal Component | |
| plsmo | Plot smoothed estimates | |
| bootkm | Bootstrap Kaplan-Meier Estimates | |
| smean.sd | Compute Summary Statistics on a Vector | |
| na.detail.response | Detailed Response Variable Information | |
| No Results! | ||
Last month downloads
Details
| Date | 2003-07-10 |
| License | GPL version 2 or newer |
| URL | http://hesweb1.med.virginia.edu/biostat/s/Hmisc.html, http://hesweb1.med.virginia.edu/biostat/s/doc/splus.pdf |
| depends | acepack , base (>= 1.4) , grid (>= 0.5-1) , lattice (>= 0.4-0) , MVA , R (>= 1.4) |
| Contributors | Frank E Harrell Jr |
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