/dports/math/R/R-4.1.2/src/library/stats/man/ |
H A D | stepfun.Rd | 1 % File src/library/stats/man/stepfun.Rd 6 \name{stepfun} 8 \alias{stepfun} 9 \alias{is.stepfun} 10 \alias{as.stepfun} 11 \alias{print.stepfun} 12 \alias{summary.stepfun} 18 is.stepfun(x) 20 as.stepfun(x, \dots) 73 \code{\link{plot.stepfun}}) \code{"stepfun"} objects. [all …]
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H A D | plot.stepfun.Rd | 1 % File src/library/stats/man/plot.stepfun.Rd 6 \name{plot.stepfun} 7 \alias{plot.stepfun} 8 \alias{lines.stepfun} 23 \method{lines}{stepfun}(x, \dots) 64 sfun0 <- stepfun(1:3, y0, f = 0) 65 sfun.2 <- stepfun(1:3, y0, f = .2) 66 sfun1 <- stepfun(1:3, y0, right = TRUE) 75 main = "stepfun(x, y0, f=f) for f = 0, .2, 1") 83 main = "plot(stepfun(*), xlim= . , ylim = .)") [all …]
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H A D | ecdf.Rd | 29 \code{\link{plot.stepfun}} for the \code{plot} method.} 31 \item{verticals}{see \code{\link{plot.stepfun}}.} 59 \code{\link{plot.stepfun}}; see its documentation. 63 \code{"\link{stepfun}"} class, and hence inheriting a 82 \seealso{\code{\link{stepfun}}, the more general class of step functions, 102 summary.stepfun(Fn12)
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H A D | isoreg.Rd | 29 \code{\link{as.stepfun}()} returns a \code{\link{stepfun}} 71 (fi3 <- as.stepfun(ir3))
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/dports/math/libRmath/R-4.1.1/src/library/stats/man/ |
H A D | stepfun.Rd | 1 % File src/library/stats/man/stepfun.Rd 6 \name{stepfun} 8 \alias{stepfun} 9 \alias{is.stepfun} 10 \alias{as.stepfun} 11 \alias{print.stepfun} 12 \alias{summary.stepfun} 18 is.stepfun(x) 20 as.stepfun(x, \dots) 73 \code{\link{plot.stepfun}}) \code{"stepfun"} objects. [all …]
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H A D | plot.stepfun.Rd | 1 % File src/library/stats/man/plot.stepfun.Rd 6 \name{plot.stepfun} 7 \alias{plot.stepfun} 8 \alias{lines.stepfun} 23 \method{lines}{stepfun}(x, \dots) 64 sfun0 <- stepfun(1:3, y0, f = 0) 65 sfun.2 <- stepfun(1:3, y0, f = .2) 66 sfun1 <- stepfun(1:3, y0, right = TRUE) 75 main = "stepfun(x, y0, f=f) for f = 0, .2, 1") 83 main = "plot(stepfun(*), xlim= . , ylim = .)") [all …]
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H A D | ecdf.Rd | 29 \code{\link{plot.stepfun}} for the \code{plot} method.} 31 \item{verticals}{see \code{\link{plot.stepfun}}.} 59 \code{\link{plot.stepfun}}; see its documentation. 63 \code{"\link{stepfun}"} class, and hence inheriting a 82 \seealso{\code{\link{stepfun}}, the more general class of step functions, 102 summary.stepfun(Fn12)
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H A D | isoreg.Rd | 29 \code{\link{as.stepfun}()} returns a \code{\link{stepfun}} 71 (fi3 <- as.stepfun(ir3))
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/dports/math/R-cran-quantreg/quantreg/man/ |
H A D | predict.rq.Rd | 12 \method{predict}{rqs}(object, newdata, type = "Qhat", stepfun = FALSE, na.action = na.pass, ...) 13 \method{predict}{rq.process}(object, newdata, type = "Qhat", stepfun = FALSE, na.action = na.pass, … 29 For \code{predict.rqs} and \code{predict.rq.process} when \code{stepfun = TRUE}, 36 \item{stepfun}{If 'TRUE' return stepfunctions otherwise return matrix of predictions. 38 functions depending upon the \code{type} argument. When \code{stepfun = FALSE} 58 when object is of class 'rqs' setting 'stepfun = TRUE' will produce a 59 \code{stepfun} object or a list of \code{stepfun} objects. 76 fp <- predict(f, newdata=airq, stepfun = TRUE) 81 fp <- predict(f, newdata=airq, type = "Fhat", stepfun = TRUE)
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H A D | rearrange.Rd | 7 \item{f}{ object of class stepfun } 35 zp <- predict(z,newdata=list(income=quantile(engel$income,.03)),stepfun = TRUE)
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/dports/math/R-cran-survey/survey/man/ |
H A D | svycdf.Rd | 22 \item{...}{other arguments to \code{\link{plot.stepfun}}} 29 class \code{\link{stepfun}}) 33 \seealso{ \code{\link{svyquantile}}, \code{\link{svyhist}}, \code{\link{plot.stepfun}}}
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/dports/devel/R-cran-sfsmisc/sfsmisc/R/ |
H A D | KS-confint.R | 30 ecu <- stepfun(xx, c(yyu, 1) ) 31 ecl <- stepfun(xx, c(yyl, yyl[n]) )
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/dports/math/R-cran-quantreg/quantreg/demo/ |
H A D | engel2.R | 23 plot(stepfun(ps,c(qs.poor[1],qs.poor)),do.points=FALSE,add=TRUE) 24 plot(stepfun(ps,c(qs.poor[1],qs.rich)),do.points=FALSE,add=TRUE,
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H A D | KMvCRQ.R | 16 fs <- plot(stepfun(x, p),do.points = FALSE, add = TRUE)
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H A D | crquis.R | 16 pred <- predict(fit, newdata=newd, stepfun = TRUE)
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/dports/devel/R-cran-broom/broom/R/ |
H A D | quantreg-rqs-tidiers.R | 66 pred <- predict(x, stepfun = FALSE, ...) 86 pred <- predict(x, newdata = newdata, stepfun = FALSE, ...)
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/dports/math/R/R-4.1.2/src/library/stats/ |
H A D | NAMESPACE | 15 as.dendrogram, as.dist, as.formula, as.hclust, as.stepfun, 39 is.stepfun, is.ts, is.tskernel, isoreg, KalmanForecast, 93 export(density.default, model.frame.default, plot.ecdf, plot.stepfun, 94 summary.aov, summary.lm, summary.stepfun, update.formula) 146 S3method(as.stepfun, default) 147 S3method(as.stepfun, isoreg) 259 S3method(knots, stepfun) 268 S3method(lines, stepfun) 338 S3method(plot, stepfun) 403 S3method(print, stepfun) [all …]
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/dports/math/libRmath/R-4.1.1/src/library/stats/ |
H A D | NAMESPACE | 15 as.dendrogram, as.dist, as.formula, as.hclust, as.stepfun, 39 is.stepfun, is.ts, is.tskernel, isoreg, KalmanForecast, 93 export(density.default, model.frame.default, plot.ecdf, plot.stepfun, 94 summary.aov, summary.lm, summary.stepfun, update.formula) 146 S3method(as.stepfun, default) 147 S3method(as.stepfun, isoreg) 259 S3method(knots, stepfun) 268 S3method(lines, stepfun) 338 S3method(plot, stepfun) 403 S3method(print, stepfun) [all …]
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/dports/devel/R-cran-sfsmisc/sfsmisc/man/ |
H A D | ecdf.ksCI.Rd | 17 \item{\dots}{optional arguments passed to \code{\link{plot.stepfun}}.} 28 \seealso{\code{\link{ecdf}} and \code{\link{plot.stepfun}} in standard
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/dports/math/R-cran-quantreg/quantreg/R/ |
H A D | quantreg.R | 379 if(stepfun) { 383 f <- apply(pred, 2, function(y) stepfun(taus, y)) 385 f <- stepfun(taus, c(pred[1,1], pred[,1])) 392 stepfun(y[o], taus[c(1,o)])}) 394 f <- stepfun(pred[,1],taus) 431 if(stepfun){ 435 f <- apply(pred,2,function(y) stepfun(taus, y)) 437 f <- stepfun(taus, pred[,1]) 442 f <- apply(pred,2,function(y) stepfun(y,taus)) 444 f <- stepfun(pred[,1],taus) [all …]
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/dports/math/R/R-4.1.2/src/library/stats/R/ |
H A D | stepfun.R | 28 stepfun <- 165 sf <- stepfun(x = (if(x$isOrd) x$x else x$x[x$ord])[x$iKnots],
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/dports/math/libRmath/R-4.1.1/src/library/stats/R/ |
H A D | stepfun.R | 28 stepfun <- 165 sf <- stepfun(x = (if(x$isOrd) x$x else x$x[x$ord])[x$iKnots],
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/dports/math/R/R-4.1.2/tests/ |
H A D | isas-tests.Rout.save | 101 > res <- try(as.stepfun( x ), silent = TRUE) 230 > res <- try(as.stepfun( x ), silent = TRUE) 341 > f <- try(as.stepfun( x ), silent = TRUE) 419 > res <- try(as.stepfun( x ), silent = TRUE) 547 > res <- try(as.stepfun( x ), silent = TRUE) 651 > f <- try(as.stepfun( x ), silent = TRUE) 965 > f <- try(as.stepfun( x ), silent = TRUE) 1287 > f <- try(as.stepfun( x ), silent = TRUE) 1629 > f <- try(as.stepfun( x ), silent = TRUE) 1948 > f <- try(as.stepfun( x ), silent = TRUE) [all …]
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/dports/math/libRmath/R-4.1.1/tests/ |
H A D | isas-tests.Rout.save | 101 > res <- try(as.stepfun( x ), silent = TRUE) 230 > res <- try(as.stepfun( x ), silent = TRUE) 341 > f <- try(as.stepfun( x ), silent = TRUE) 419 > res <- try(as.stepfun( x ), silent = TRUE) 547 > res <- try(as.stepfun( x ), silent = TRUE) 651 > f <- try(as.stepfun( x ), silent = TRUE) 965 > f <- try(as.stepfun( x ), silent = TRUE) 1287 > f <- try(as.stepfun( x ), silent = TRUE) 1629 > f <- try(as.stepfun( x ), silent = TRUE) 1948 > f <- try(as.stepfun( x ), silent = TRUE) [all …]
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/dports/math/R-cran-quantreg/quantreg/ |
H A D | NAMESPACE | 26 "is.stepfun", "knots", "lag", "lm", "lm.fit", "lm.wfit", 32 "stepfun", "supsmu", "terms", "uniroot", "var")
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