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/dports/print/lilypond-devel/lilypond-2.23.5/input/regression/
H A Dtie-chord.ly3 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
H A Dretrograde.ly8 Ties and glissandi work mostly (in-chord ties are turned into
9 ordinary per-chord/note ties, however)."
/dports/print/lilypond/lilypond-2.22.1/input/regression/
H A Dtie-chord.ly3 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
H A Dretrograde.ly8 Ties and glissandi work mostly (in-chord ties are turned into
9 ordinary per-chord/note ties, however)."
/dports/math/R-cran-matrixStats/matrixStats/src/
H A DweightedMedian.c12 SEXP weightedMedian(SEXP x, SEXP w, SEXP idxs, SEXP naRm, SEXP interpolate, SEXP ties) { in weightedMedian() argument
40 ties2 = asInteger(ties); in weightedMedian()
/dports/math/R-cran-survey/survey/tests/
H A Dquantile.Rout.save66 > 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…
/dports/math/R/R-4.1.2/src/library/stats/R/
H A Dsplinefun.R25 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)
/dports/math/libRmath/R-4.1.1/src/library/stats/R/
H A Dsplinefun.R25 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)
/dports/graphics/ossim/ossim-OrchidIsland-2.11.1/src/support_data/
H A DossimTiffInfo.cpp1290 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 …]
/dports/lang/spidermonkey60/firefox-60.9.0/browser/extensions/pocket/locale/lv/
H A Dpocket.properties22 signupemail = Pierakstīties ar epastu
23 signuptosave = Pierakstīties Pocket. Tas ir bez maksas.
32 signupfirefox = Pierakstīties ar Firefox
/dports/devel/pear-Horde_Itip/Horde_Itip-2.1.2/locale/lv/LC_MESSAGES/
H A DHorde_Itip.po42 msgstr "pieņēma uzaicinājumu piedalīties sekojošā notikumā"
50 msgstr "noraidīja uzaicinājumu piedalīties sekojošā notikumā"
58 msgstr "izteica nodomu pieņemt uzaicinājumu piedalīties šajā notikumā"
/dports/www/firefox-legacy/firefox-52.8.0esr/browser/extensions/pocket/locale/lv/
H A Dpocket.properties22 signupemail = Pierakstīties ar epastu
23 signuptosave = Pierakstīties Pocket. Tas ir bez maksas.
32 signupfirefox = Pierakstīties ar Firefox
/dports/math/R-cran-survey/survey/man/
H A Doldsvyquantile.Rd18 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
/dports/math/R/R-4.1.2/src/library/stats/tests/
H A Dks-test.Rout.save34 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
/dports/math/libRmath/R-4.1.1/src/library/stats/tests/
H A Dks-test.Rout.save34 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
/dports/math/R-cran-Matching/Matching/man/
H A DMatchby.Rd18 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 …]
/dports/math/R/R-4.1.2/tests/
H A Dreg-large.R156 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))
/dports/math/libRmath/R-4.1.1/tests/
H A Dreg-large.R156 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))
/dports/print/lilypond/lilypond-2.22.1/Documentation/snippets/
H A Dlaissez-vibrer-ties.ly13 Laissez vibrer ties have a fixed size. Their formatting can be tuned
17 doctitle = "Laissez vibrer ties"
/dports/print/lilypond-devel/lilypond-2.23.5/Documentation/snippets/
H A Dlaissez-vibrer-ties.ly13 Laissez vibrer ties have a fixed size. Their formatting can be tuned
17 doctitle = "Laissez vibrer ties"
/dports/lang/racket/racket-8.3/src/expander/extract/
H A Dmain.rkt42 #:instance-knot-ties instance-knot-ties
115 #:instance-knot-ties instance-knot-ties))
134 #:instance-knot-ties instance-knot-ties
/dports/lang/racket-minimal/racket-8.3/src/expander/extract/
H A Dmain.rkt42 #:instance-knot-ties instance-knot-ties
115 #:instance-knot-ties instance-knot-ties))
134 #:instance-knot-ties instance-knot-ties
/dports/audio/musescore/MuseScore-3.6.1/libmscore/
H A DsplitMeasure.cpp78 std::vector<Tie*> ties; in splitMeasure() local
85 ties.push_back(tie->clone()); in splitMeasure()
131 for (auto tie : ties) { in splitMeasure()
/dports/devel/llvm-cheri/llvm-project-37c49ff00e3eadce5d8703fdc4497f28458c64a8/llvm/test/CodeGen/X86/
H A D2011-03-09-Physreg-Coalescing.ll6 ; The 'call fastcc' ties down %ebx, %ecx, and %edx.
7 ; A MUL8r ties down %al, leaving no GR32_ABCD registers available.
/dports/devel/R-cran-Hmisc/Hmisc/man/
H A DapproxExtrap.Rd10 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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