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34 cnvrt.coords Side Effects prints AUTHOR Frank Harrell Department of Biostatistics Vanderbilt University f.harrell@vanderbilt.edu References See Also Peterson B, George SL: Controlled Clinical Trials 14:511–522; 1993. cpower, spower Examples # Find the power of a race x treatment test. 25% of patients will # be non-white and the total sample size is 14000. # Accrual is for 1.5 years and minimum follow-up is 5y. # Reduction in 5-year mortality is 15% for whites, 0% or -5% for # non-whites. 5-year mortality for control subjects if assumed to # be 0.18 for whites, 0.23 for non-whites. n
cnvrt.coords 35 Arguments x y input Vector, Matrix, or list of x coordinates (or x and y coordinates), NA’s allowed. y coordinates (if x is a vector), NA’s allowed. Character scalar indicating the coordinate system of the input points. Details Every plot has 5 coordinate systems: usr (User): the coordinate system of the data, this is shown by the tick marks and axis labels. plt (Plot): Plot area, coordinates range from 0 to 1 with 0 corresponding to the x and y axes and 1 corresponding to the top and right of the plot area. Margins of the plot correspond to plot coordinates less than 0 or greater than 1. fig (Figure): Figure area, coordinates range from 0 to 1 with 0 corresponding to the bottom and left edges of the figure (including margins, label areas) and 1 corresponds to the top and right edges. fig and dev coordinates will be identical if there is only 1 figure area on the device (layout, mfrow, or mfcol has not been used). dev (Device): Device area, coordinates range from 0 to 1 with 0 corresponding to the bottom and left of the device region within the outer margins and 1 is the top and right of the region withing the outer margins. If the outer margins are all set to 0 then tdev and dev should be identical. tdev (Total Device): Total Device area, coordinates range from 0 to 1 with 0 corresponding to the bottom and left edges of the device (piece of paper, window on screen) and 1 corresponds to the top and right edges. Value A list with 5 components, each component is a list with vectors named x and y. The 5 sublists are: usr plt fig dev tdev The coordinates of the input points in usr (User) coordinates. The coordinates of the input points in plt (Plot) coordinates. The coordinates of the input points in fig (Figure) coordinates. The coordinates of the input points in dev (Device) coordinates. The coordinates of the input points in tdev (Total Device) coordinates. Note You must provide both x and y, but one of them may be NA. This function is becoming depricated with the new functions grconvertX and grconvertY in R version 2.7.0 and beyond. These new functions use the correct coordinate system names and have more coordinate systems available, you should start using them instead. Author(s) Greg Snow 〈greg.snow@imail.org〉
Page 1 and 2: Package ‘Hmisc’ April 29, 2009
Page 3 and 4: R topics documented: 3 HmiscOvervie
Page 5 and 6: abs.error.pred 5 abs.error.pred Ind
Page 7 and 8: approxExtrap 7 Examples all.is.nume
Page 9 and 10: areg 9 y xtype ytype nk B na.rm tol
Page 11 and 12: areg 11 ## Not run: # Examine overf
Page 13 and 14: aregImpute 13 Usage A print method
Page 15 and 16: aregImpute 15 burnin pr plotTrans t
Page 17 and 18: aregImpute 17 Author(s) Frank Harre
Page 19 and 20: aregImpute 19 # plot(1:100, f$imput
Page 21 and 22: inconf 21 method include.x include.
Page 23 and 24: iVar 23 spearman2(formula, data=NUL
Page 25 and 26: ootkm 25 bootkm Bootstrap Kaplan-Me
Page 27 and 28: power 27 bsamsize(p1, p2, fraction=
Page 29 and 30: pplot 29 Description Producess side
Page 31 and 32: ystats 31 a missing value causes th
Page 33: ciapower 33 Value Returns a vector
Page 37 and 38: combine 37 ## create a subplot with
Page 39 and 40: contents 39 contents(object, dslabe
Page 41 and 42: cpower 41 Details Value For handlin
Page 43 and 44: csv.get 43 Description Makes a vect
Page 45 and 46: curveRep 45 Value a new data frame.
Page 47 and 48: curveRep 47 extrap pr which method
Page 49 and 50: curveRep 49 Examples ## Not run: #
Page 51 and 52: cut2 51 Usage cut2(x, cuts, m, g, l
Page 53 and 54: data.frame.create.modify.check 53 S
Page 55 and 56: data.frame.create.modify.check 55 #
Page 61 and 62: dataRep 61 Usage variables, the per
Page 63 and 64: describe 63 Usage deff(y, cluster)
Page 65 and 66: describe 65 may or may not have a r
Page 67 and 68: describe 67 #get quantiles .05,.10,
Page 69 and 70: dotchart2 69 Details as.discrete co
Page 71 and 72: dropUnusedLevels 71 xaxis set to FA
Page 73 and 74: Ecdf 73 Usage Ecdf(x, ...) ## Defau
Page 75 and 76: Ecdf 75 Value for Ecdf.default an i
Page 77 and 78: equalBins 77 equalBins Multicolumn
Page 79 and 80: errbar 79 panel.first panel.last as
Page 81 and 82: event.chart 81 event.chart Flexible
Page 83 and 84: event.chart 83 or an S-Plus dates o
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event.chart 85 If "custom" is chose
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event.chart 87 subset.c) specified
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event.chart 89 Dubin, J.A., Lee, J.
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event.convert 91 # To produce more
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event.history 93 Description Usage
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event.history 95 the individual rig
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event.history 97 plot(heart.surv, y
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find.matches 99 ## S3 method for cl
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find.matches 101 # For many applica
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format.df 103 Value a character str
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format.df 105 \tabular environment
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gbayes 107 gbayes Gaussian Bayesian
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gbayes 109 sd prior pcdf delta v n1
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gbayes 111 stat
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getHdata 113 # Get the posterior de
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getZip 115 Examples ## Not run: get
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hist.data.frame 117 Author(s) Frank
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histbackback 119 Arguments Value x,
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HmiscOverview 121 ciapower cleanup.
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HmiscOverview 123 minor.tick mtitle
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HmiscOverview 125 sys tex transace
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hoeffd 127 Usage hoeffd(x) hoeffd(x
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html 129 file name of the file to c
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inc-dec 131 Value object ... ignore
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labcurve 133 To add a legend defini
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labcurve 135 y for putKeyEmpty and
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labcurve 137 lwd col. col transpare
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labcurve 139 Value key is called on
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label 141 # Use the mouse to draw a
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label 143 Arguments x Value self un
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latex 145 Details A.ttributes of th
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latex 147 caption=NULL, caption.lot
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latex 149 cgroup n.cgroup rgroup n.
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latex 151 booktabs table.env here l
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latex 153 PATH=paste(Sys.getenv("PA
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ldBands 155 Usage Lan. Such stoppin
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ldBands 157 Value A list of class "
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makeNstr 159 Arguments struct depth
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mChoice 161 Value For mApply, the r
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mChoice 163 table a vector (mChoice
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mdb.get 165 # could also do: # summ
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mgp.axis 167 Arguments side at see
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mhgr 169 Author(s) Frank E Harrell
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Misc 171 Author(s) Frank Harrell De
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Misc 173 outerText(string, y, setAs
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mtitle 175 set.seed(1) whichClosest
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na.detail.response 177 Usage na.del
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na.keep 179 # age=NA age!=NA sex!=N
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panel.bpplot 181 Examples nstr(c("a
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panel.bpplot 183 Author(s) Frank Ha
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pc1 185 See Also split Examples a
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plsmo 187 plsmo Plot smoothed estim
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plsmo 189 type pch cex font set to
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print.char.list 191 Value a list co
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print.char.matrix 193 print.char.ma
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ps.slide 195 Arguments x txt any ob
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ps.slide 197 strip.blank =TRUE, lty
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ps.slide 199 Value ratio lref psref
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corr 201 Details Certain functions
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corr.cens 203 Usage rcorr.cens(x, S
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corrp.cens 205 abline(h=.5, v=0, co
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cspline.eval 207 rcspline.eval Rest
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cspline.plot 209 nk knots show adj
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cspline.restate 211 after begin nbe
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edun 213 minfreq iterms pc pr For a
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equirePackage 215 Examples x
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eShape 217 colvar base reps times t
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legend 219 # d
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m.boot 221 rm.boot Bootstrap Repeat
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m.boot 223 smoother xlab xlim ylim
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m.boot 225 Details Value ordered by
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m.boot 227 n
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samplesize.bin 229 Description Give
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sasxport.get 231 Usage used, it is
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Save 233 # output; # format d1 mmdd
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scat1d 235 jitter2.default for vect
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scat1d 237 lwd col y curve line wid
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scat1d 239 Details For scat1d the l
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score.binary 241 # datadensity.data
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sedit 243 substring2(text, first, l
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show.pch 245 x
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smean.sd 247 smean.sd Compute Summa
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somers2 249 Arguments a b tol a squ
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spower 251 Usage The Weibull2 funct
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spower 253 Value spower returns the
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spss.get 255 set.seed(211) spower(r
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stata.get 257 Arguments x an unquot
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store 259 store Store an Object Per
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string.break.line 261 Value rows co
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subplot 263 subplot Embed a new plo
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summarize 265 Usage summarize store
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summarize 267 dfr
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summary.formula 269 summary.formula
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summary.formula 271 rowlabel = '',
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summary.formula 273 overall continu
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summary.formula 275 dotfont font fo
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summary.formula 277 subtitles capti
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summary.formula 279 bpplt() # annot
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summary.formula 281 y
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symbol.freq 283 summary(age ~ stage
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t.test.cluster 285 Side Effects exe
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transace 287 against the lowest lev
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transace 289 categorical binary pl
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transace 291 Details Value As trans
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transace 293 newdat
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transcan 295 values of the target v
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transcan 297 ## S3 method for class
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transcan 299 impcat mincut inverse
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transcan 301 rhsImp Set to ‘"rand
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transcan 303 freq aty a vector of f
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transcan 305 categorical asis coef
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transcan 307 blood.pressure=60:260,
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translate 309 x[1:500]
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units 311 Value An object of class
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upData 313 The dataframeReduce func
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upData 315 fracmiss maxlevels minpr
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varclus 317 For valueTag
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varclus 319 df s similarity type me
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varclus 321 description, and naplot
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wtd.stats 323 Usage expand x by the
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wtd.stats 325 Author(s) Frank Harre
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xYplot 327 xYplot xyplot and dotplo
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xYplot 329 probs=c(.5,.25,.75), nx=
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xYplot 331 Details Value minor.tick
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xYplot 333 xYplot(Cbind(y,lower,upp
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yearDays 335 setTrellis() # blank c
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Index ∗Topic IO csv.get, 40 getZi
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INDEX 339 ∗Topic iplot labcurve,
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INDEX 341 (summary.formula), 266 [.
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INDEX 343 is.discrete (discrete), 6
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INDEX 345 print.dvi (latex), 142 pr
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INDEX 347 units
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