/dports/print/lilypond-devel/lilypond-2.23.5/input/regression/ |
H A D | tie-chord.ly | 3 texidoc = "In chords, ties keep closer to the note head vertically, 5 the rest of the ties are positioned according to their vertical 8 The code does not handle all cases. Sometimes ties will printed on top
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H A D | retrograde.ly | 8 Ties and glissandi work mostly (in-chord ties are turned into 9 ordinary per-chord/note ties, however)."
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/dports/print/lilypond/lilypond-2.22.1/input/regression/ |
H A D | tie-chord.ly | 3 texidoc = "In chords, ties keep closer to the note head vertically, 5 the rest of the ties are positioned according to their vertical 8 The code does not handle all cases. Sometimes ties will printed on top
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H A D | retrograde.ly | 8 Ties and glissandi work mostly (in-chord ties are turned into 9 ordinary per-chord/note ties, however)."
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/dports/math/R-cran-matrixStats/matrixStats/src/ |
H A D | weightedMedian.c | 12 SEXP weightedMedian(SEXP x, SEXP w, SEXP idxs, SEXP naRm, SEXP interpolate, SEXP ties) { in weightedMedian() argument 40 ties2 = asInteger(ties); in weightedMedian()
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/dports/math/R-cran-survey/survey/tests/ |
H A D | quantile.Rout.save | 66 > oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald") 96 > oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald",d… 160 > oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald") 190 > oldsvyquantile(~y,ddf, c(0.01,0.1,0.5,0.9,0.99),ci=TRUE,ties="rounded",interval.type="betaWald",d…
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/dports/math/R/R-4.1.2/src/library/stats/R/ |
H A D | splinefun.R | 25 ties = mean) argument 27 x <- regularize.values(x, y, ties, missing(ties)) # -> (x,y) numeric of same length 63 rm(x, y, nx, method, iMeth, ties)
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/dports/math/libRmath/R-4.1.1/src/library/stats/R/ |
H A D | splinefun.R | 25 ties = mean) argument 27 x <- regularize.values(x, y, ties, missing(ties)) # -> (x,y) numeric of same length 63 rm(x, y, nx, method, iMeth, ties)
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/dports/graphics/ossim/ossim-OrchidIsland-2.11.1/src/support_data/ |
H A D | ossimTiffInfo.cpp | 1290 tie.x = ties[3] - ties[0] * scale.x; in getImageGeometry() 1291 tie.y = ties[4] + ties[1] * scale.y; in getImageGeometry() 4227 if (ties.size() % 6) in hasOneBasedTiePoints() 4242 if (ties[tieIndex] < minX) in hasOneBasedTiePoints() 4243 minX = ties[tieIndex]; in hasOneBasedTiePoints() 4244 if (ties[tieIndex] > maxX) in hasOneBasedTiePoints() 4245 maxX = ties[tieIndex]; in hasOneBasedTiePoints() 4246 if (ties[tieIndex + 1] < minY) in hasOneBasedTiePoints() 4247 minY = ties[tieIndex + 1]; in hasOneBasedTiePoints() 4248 if (ties[tieIndex + 1] > maxY) in hasOneBasedTiePoints() [all …]
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/dports/lang/spidermonkey60/firefox-60.9.0/browser/extensions/pocket/locale/lv/ |
H A D | pocket.properties | 22 signupemail = Pierakstīties ar epastu 23 signuptosave = Pierakstīties Pocket. Tas ir bez maksas. 32 signupfirefox = Pierakstīties ar Firefox
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/dports/devel/pear-Horde_Itip/Horde_Itip-2.1.2/locale/lv/LC_MESSAGES/ |
H A D | Horde_Itip.po | 42 msgstr "pieņēma uzaicinājumu piedalīties sekojošā notikumā" 50 msgstr "noraidīja uzaicinājumu piedalīties sekojošā notikumā" 58 msgstr "izteica nodomu pieņemt uzaicinājumu piedalīties šajā notikumā"
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/dports/www/firefox-legacy/firefox-52.8.0esr/browser/extensions/pocket/locale/lv/ |
H A D | pocket.properties | 22 signupemail = Pierakstīties ar epastu 23 signuptosave = Pierakstīties Pocket. Tas ir bez maksas. 32 signupfirefox = Pierakstīties ar Firefox
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/dports/math/R-cran-survey/survey/man/ |
H A D | oldsvyquantile.Rd | 18 ties=c("discrete","rounded"), df=NULL,...) 21 return.replicates=FALSE, ties=c("discrete","rounded"),na.rm=FALSE, 35 \item{ties}{See Details below} 44 the presence of ties. With \code{ties="discrete"} the data are 46 observations. With \code{ties="rounded"} all the weights for tied 49 \code{interval.type="betaWald"} and \code{ties="discrete"} is (close
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/dports/math/R/R-4.1.2/src/library/stats/tests/ |
H A D | ks-test.Rout.save | 34 ties should not be present for the Kolmogorov-Smirnov test 48 ties should not be present for the Kolmogorov-Smirnov test 80 ties should not be present for the Kolmogorov-Smirnov test 91 ties should not be present for the Kolmogorov-Smirnov test 103 ties should not be present for the Kolmogorov-Smirnov test 114 ties should not be present for the Kolmogorov-Smirnov test 313 cannot compute exact p-value with ties 315 cannot compute exact confidence intervals with ties
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/dports/math/libRmath/R-4.1.1/src/library/stats/tests/ |
H A D | ks-test.Rout.save | 34 ties should not be present for the Kolmogorov-Smirnov test 48 ties should not be present for the Kolmogorov-Smirnov test 80 ties should not be present for the Kolmogorov-Smirnov test 91 ties should not be present for the Kolmogorov-Smirnov test 103 ties should not be present for the Kolmogorov-Smirnov test 114 ties should not be present for the Kolmogorov-Smirnov test 313 cannot compute exact p-value with ties 315 cannot compute exact confidence intervals with ties
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/dports/math/R-cran-Matching/Matching/man/ |
H A D | Matchby.Rd | 18 Matchby(Y, Tr, X, by, estimand = "ATT", M = 1, ties=FALSE, replace=TRUE, 41 \code{ties} option.} 42 \item{ties}{A logical flag for whether ties should be handled 43 deterministically. By default \code{ties==TRUE}. If, for example, one 48 number of observations. If \code{ties==FALSE}, ties will be randomly 49 broken. \emph{If the dataset is large and there are many ties, 50 setting \code{ties=FALSE} often results in a large speedup.} Whether 61 randomly broken when \code{replace==FALSE}---see the \code{ties} 148 \emph{Note that by default \code{ties=FALSE} although the default for 150 done because randomly breaking ties in large datasets often results in [all …]
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/dports/math/R/R-4.1.2/tests/ |
H A D | reg-large.R | 156 system.time(ap1 <- approx(x,y, ties = "ordered"))# 15 user; 25 elapsed 184 system.time(ap <- approx(x,y, ties = "ordered", xout = xo)) 196 system.time(apf <- approxfun(x,y, ties="ordered", rule = 2))# elapsed: ~26s 200 system.time(ssf <- splinefun(x,y, ties = "ordered")) 202 system.time(ss <- spline (x,y, ties = "ordered", xout = xi))
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/dports/math/libRmath/R-4.1.1/tests/ |
H A D | reg-large.R | 156 system.time(ap1 <- approx(x,y, ties = "ordered"))# 15 user; 25 elapsed 184 system.time(ap <- approx(x,y, ties = "ordered", xout = xo)) 196 system.time(apf <- approxfun(x,y, ties="ordered", rule = 2))# elapsed: ~26s 200 system.time(ssf <- splinefun(x,y, ties = "ordered")) 202 system.time(ss <- spline (x,y, ties = "ordered", xout = xi))
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/dports/print/lilypond/lilypond-2.22.1/Documentation/snippets/ |
H A D | laissez-vibrer-ties.ly | 13 Laissez vibrer ties have a fixed size. Their formatting can be tuned 17 doctitle = "Laissez vibrer ties"
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/dports/print/lilypond-devel/lilypond-2.23.5/Documentation/snippets/ |
H A D | laissez-vibrer-ties.ly | 13 Laissez vibrer ties have a fixed size. Their formatting can be tuned 17 doctitle = "Laissez vibrer ties"
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/dports/lang/racket/racket-8.3/src/expander/extract/ |
H A D | main.rkt | 42 #:instance-knot-ties instance-knot-ties 115 #:instance-knot-ties instance-knot-ties)) 134 #:instance-knot-ties instance-knot-ties
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/dports/lang/racket-minimal/racket-8.3/src/expander/extract/ |
H A D | main.rkt | 42 #:instance-knot-ties instance-knot-ties 115 #:instance-knot-ties instance-knot-ties)) 134 #:instance-knot-ties instance-knot-ties
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/dports/audio/musescore/MuseScore-3.6.1/libmscore/ |
H A D | splitMeasure.cpp | 78 std::vector<Tie*> ties; in splitMeasure() local 85 ties.push_back(tie->clone()); in splitMeasure() 131 for (auto tie : ties) { in splitMeasure()
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/dports/devel/llvm-cheri/llvm-project-37c49ff00e3eadce5d8703fdc4497f28458c64a8/llvm/test/CodeGen/X86/ |
H A D | 2011-03-09-Physreg-Coalescing.ll | 6 ; The 'call fastcc' ties down %ebx, %ecx, and %edx. 7 ; A MUL8r ties down %al, leaving no GR32_ABCD registers available.
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/dports/devel/R-cran-Hmisc/Hmisc/man/ |
H A D | approxExtrap.Rd | 10 approxExtrap(x, y, xout, method = "linear", n = 50, rule = 2, f = 0, ties = "ordered", na.rm = FALS… 14 \item{ties}{applies only to R. See \code{\link{approx}}}
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