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/dports/math/R/R-4.1.2/src/library/stats/man/
H A DSSasymp.Rd10 SSasymp(input, Asym, R0, lrc)
15 \item{Asym}{a numeric parameter representing the horizontal asymptote on
33 the expression \code{Asym+(R0-Asym)*exp(-exp(lrc)*input)}. If all of
34 the arguments \code{Asym}, \code{R0}, and \code{lrc} are
47 Asym <- 100 ; resp0 <- -8.5 ; lrc <- -3.2
48 SSasymp( Lob.329$age, Asym, resp0, lrc) # response _and_ gradient
50 getInitial(height ~ SSasymp( age, Asym, resp0, lrc), data = Lob.329)
52 fm1 <- nls(height ~ SSasymp( age, Asym, resp0, lrc), data = Lob.329)
58 ## Asym + (R0-Asym) * exp(-exp(lrc)* x) :
60 stopifnot( all.equal(yy, SSasymp(xx, Asym = 5, R0 = 1, lrc = -3/4)) )
[all …]
H A DSSlogis.Rd10 SSlogis(input, Asym, xmid, scal)
15 \item{Asym}{a numeric parameter representing the asymptote.}
18 \code{Asym/2} at \code{xmid}.}
24 creates initial estimates of the parameters \code{Asym},
30 the expression \code{Asym/(1+exp((xmid-input)/scal))}. If all of
31 the arguments \code{Asym}, \code{xmid}, and \code{scal} are
42 Asym <- 368; xmid <- 14; scal <- 6
43 SSlogis(Chick.1$Time, Asym, xmid, scal) # response _and_ gradient
45 getInitial(weight ~ SSlogis(Time, Asym, xmid, scal), data = Chick.1)
47 fm1 <- nls(weight ~ SSlogis(Time, Asym, xmid, scal), data = Chick.1)
[all …]
H A DSSgompertz.Rd9 SSgompertz(x, Asym, b2, b3)
14 \item{Asym}{a numeric parameter representing the asymptote.}
22 creates initial estimates of the parameters \code{Asym},
27 the expression \code{Asym*exp(-b2*b3^x)}. If all of
28 the arguments \code{Asym}, \code{b2}, and \code{b3} are
38 local({ Asym <- 4.5; b2 <- 2.3; b3 <- 0.7
39 SSgompertz(log(DNase.1$conc), Asym, b2, b3) # response _and_ gradient
41 print(getInitial(density ~ SSgompertz(log(conc), Asym, b2, b3),
44 fm1 <- nls(density ~ SSgompertz(log(conc), Asym, b2, b3),
51 As <- coef(fm1)[["Asym"]]; abline(v = 0, h = 0, lty = 3)
H A DSSasympOrig.Rd11 SSasympOrig(input, Asym, lrc)
15 \item{Asym}{a numeric parameter representing the horizontal asymptote.}
23 parameters \code{Asym} and \code{lrc} for a given set of data.
27 the expression \code{Asym*(1 - exp(-exp(lrc)*input))}. If all of
28 the arguments \code{Asym} and \code{lrc} are
38 local({ Asym <- 100; lrc <- -3.2
39 SSasympOrig(Lob.329$age, Asym, lrc) # response and gradient
41 getInitial(height ~ SSasympOrig(age, Asym, lrc), data = Lob.329)
43 fm1 <- nls(height ~ SSasympOrig(age, Asym, lrc), data = Lob.329)
51 stopifnot( all.equal(yy, SSasympOrig(xx, Asym = 5, lrc = log(log(2)))) )
[all …]
H A DSSweibull.Rd9 SSweibull(x, Asym, Drop, lrc, pwr)
14 \item{Asym}{a numeric parameter representing the horizontal asymptote on
17 \code{Asym} to the \code{y} intercept.}
26 will evaluate initial estimates of the parameters \code{Asym}, \code{Drop},
31 the expression \code{Asym-Drop*exp(-exp(lrc)*x^pwr)}. If all of
32 the arguments \code{Asym}, \code{Drop}, \code{lrc}, and \code{pwr} are
50 local({ Asym <- 160; Drop <- 115; lrc <- -5.5; pwr <- 2.5
51 SSweibull(Chick.6$Time, Asym, Drop, lrc, pwr) # response _and_ gradient
54 getInitial(weight ~ SSweibull(Time, Asym, Drop, lrc, pwr), data = Chick.6)
57 fm1 <- nls(weight ~ SSweibull(Time, Asym, Drop, lrc, pwr), data = Chick.6)
[all …]
H A DSSasympOff.Rd10 SSasympOff(input, Asym, lrc, c0)
15 \item{Asym}{a numeric parameter representing the horizontal asymptote on
28 \code{Asym}, \code{lrc}, and \code{c0}.
32 the expression \code{Asym*(1 - exp(-exp(lrc)*(input - c0)))}. If all of
33 the arguments \code{Asym}, \code{lrc}, and \code{c0} are
45 local({ Asym <- 32; lrc <- -4; c0 <- 43
46 SSasympOff(CO2.Qn1$conc, Asym, lrc, c0) # response and gradient
48 getInitial(uptake ~ SSasympOff(conc, Asym, lrc, c0), data = CO2.Qn1)
50 fm1 <- nls(uptake ~ SSasympOff(conc, Asym, lrc, c0), data = CO2.Qn1)
57 stopifnot( all.equal(yy, SSasympOff(xx, Asym = 5, lrc = log(0.4), c0 = 3/4)) )
[all …]
/dports/math/libRmath/R-4.1.1/src/library/stats/man/
H A DSSasymp.Rd10 SSasymp(input, Asym, R0, lrc)
15 \item{Asym}{a numeric parameter representing the horizontal asymptote on
33 the expression \code{Asym+(R0-Asym)*exp(-exp(lrc)*input)}. If all of
34 the arguments \code{Asym}, \code{R0}, and \code{lrc} are
47 Asym <- 100 ; resp0 <- -8.5 ; lrc <- -3.2
48 SSasymp( Lob.329$age, Asym, resp0, lrc) # response _and_ gradient
50 getInitial(height ~ SSasymp( age, Asym, resp0, lrc), data = Lob.329)
52 fm1 <- nls(height ~ SSasymp( age, Asym, resp0, lrc), data = Lob.329)
58 ## Asym + (R0-Asym) * exp(-exp(lrc)* x) :
60 stopifnot( all.equal(yy, SSasymp(xx, Asym = 5, R0 = 1, lrc = -3/4)) )
[all …]
H A DSSlogis.Rd10 SSlogis(input, Asym, xmid, scal)
15 \item{Asym}{a numeric parameter representing the asymptote.}
18 \code{Asym/2} at \code{xmid}.}
24 creates initial estimates of the parameters \code{Asym},
30 the expression \code{Asym/(1+exp((xmid-input)/scal))}. If all of
31 the arguments \code{Asym}, \code{xmid}, and \code{scal} are
42 Asym <- 368; xmid <- 14; scal <- 6
43 SSlogis(Chick.1$Time, Asym, xmid, scal) # response _and_ gradient
45 getInitial(weight ~ SSlogis(Time, Asym, xmid, scal), data = Chick.1)
47 fm1 <- nls(weight ~ SSlogis(Time, Asym, xmid, scal), data = Chick.1)
[all …]
H A DSSgompertz.Rd9 SSgompertz(x, Asym, b2, b3)
14 \item{Asym}{a numeric parameter representing the asymptote.}
22 creates initial estimates of the parameters \code{Asym},
27 the expression \code{Asym*exp(-b2*b3^x)}. If all of
28 the arguments \code{Asym}, \code{b2}, and \code{b3} are
38 local({ Asym <- 4.5; b2 <- 2.3; b3 <- 0.7
39 SSgompertz(log(DNase.1$conc), Asym, b2, b3) # response _and_ gradient
41 print(getInitial(density ~ SSgompertz(log(conc), Asym, b2, b3),
44 fm1 <- nls(density ~ SSgompertz(log(conc), Asym, b2, b3),
51 As <- coef(fm1)[["Asym"]]; abline(v = 0, h = 0, lty = 3)
H A DSSasympOrig.Rd11 SSasympOrig(input, Asym, lrc)
15 \item{Asym}{a numeric parameter representing the horizontal asymptote.}
23 parameters \code{Asym} and \code{lrc} for a given set of data.
27 the expression \code{Asym*(1 - exp(-exp(lrc)*input))}. If all of
28 the arguments \code{Asym} and \code{lrc} are
38 local({ Asym <- 100; lrc <- -3.2
39 SSasympOrig(Lob.329$age, Asym, lrc) # response and gradient
41 getInitial(height ~ SSasympOrig(age, Asym, lrc), data = Lob.329)
43 fm1 <- nls(height ~ SSasympOrig(age, Asym, lrc), data = Lob.329)
51 stopifnot( all.equal(yy, SSasympOrig(xx, Asym = 5, lrc = log(log(2)))) )
[all …]
H A DSSweibull.Rd9 SSweibull(x, Asym, Drop, lrc, pwr)
14 \item{Asym}{a numeric parameter representing the horizontal asymptote on
17 \code{Asym} to the \code{y} intercept.}
26 will evaluate initial estimates of the parameters \code{Asym}, \code{Drop},
31 the expression \code{Asym-Drop*exp(-exp(lrc)*x^pwr)}. If all of
32 the arguments \code{Asym}, \code{Drop}, \code{lrc}, and \code{pwr} are
50 local({ Asym <- 160; Drop <- 115; lrc <- -5.5; pwr <- 2.5
51 SSweibull(Chick.6$Time, Asym, Drop, lrc, pwr) # response _and_ gradient
54 getInitial(weight ~ SSweibull(Time, Asym, Drop, lrc, pwr), data = Chick.6)
57 fm1 <- nls(weight ~ SSweibull(Time, Asym, Drop, lrc, pwr), data = Chick.6)
[all …]
H A DSSasympOff.Rd10 SSasympOff(input, Asym, lrc, c0)
15 \item{Asym}{a numeric parameter representing the horizontal asymptote on
28 \code{Asym}, \code{lrc}, and \code{c0}.
32 the expression \code{Asym*(1 - exp(-exp(lrc)*(input - c0)))}. If all of
33 the arguments \code{Asym}, \code{lrc}, and \code{c0} are
45 local({ Asym <- 32; lrc <- -4; c0 <- 43
46 SSasympOff(CO2.Qn1$conc, Asym, lrc, c0) # response and gradient
48 getInitial(uptake ~ SSasympOff(conc, Asym, lrc, c0), data = CO2.Qn1)
50 fm1 <- nls(uptake ~ SSasympOff(conc, Asym, lrc, c0), data = CO2.Qn1)
57 stopifnot( all.equal(yy, SSasympOff(xx, Asym = 5, lrc = log(0.4), c0 = 3/4)) )
[all …]
/dports/math/R/R-4.1.2/src/library/stats/R/
H A DzzModels.R23 selfStart(function(input, Asym, R0, lrc) argument
25 .expr1 <- R0 - Asym
76 pars <- c(lrc = lrc, Asym = Asym, R0 = bma + Asym) globalVar
91 function(input, Asym, lrc, c0) argument
97 .value <- Asym * .expr6
131 function(input, Asym, lrc) argument
136 .value <- Asym * .expr5
331 function(input, Asym, xmid, scal) argument
336 .value <- Asym/.expr4
418 selfStart(function(x, Asym, b2, b3) argument
[all …]
/dports/math/libRmath/R-4.1.1/src/library/stats/R/
H A DzzModels.R23 selfStart(function(input, Asym, R0, lrc) argument
25 .expr1 <- R0 - Asym
76 pars <- c(lrc = lrc, Asym = Asym, R0 = bma + Asym) globalVar
91 function(input, Asym, lrc, c0) argument
97 .value <- Asym * .expr6
131 function(input, Asym, lrc) argument
136 .value <- Asym * .expr5
331 function(input, Asym, xmid, scal) argument
336 .value <- Asym/.expr4
418 selfStart(function(x, Asym, b2, b3) argument
[all …]
/dports/math/R/R-4.1.2/src/library/stats/tests/
H A Dnls.R34 function(x, Asym, xmid, scal){} ) argument
38 Asym <- max(abs(xy[,"y"])) functionVar
39 if (Asym != max(xy[,"y"])) Asym <- -Asym # negative asymptote
40 xmid <- NLSstClosestX(xy, 0.5 * Asym)
41 scal <- NLSstClosestX(xy, 0.75 * Asym) - xmid
42 setNames(c(Asym, xmid, scal),
99 fm1 <- nls(density ~ SSlogis(log(conc), Asym, xmid, scal),
106 start = list(Asym = 3, xmid = 0, scal = 1)) nameattr
111 fm2a <- nls(density ~ Asym/(1 + exp((xmid - log(conc)))),
113 start = list(Asym = 3, xmid = 0)) nameattr
[all …]
H A Dnls.Rout.save50 > logist <- deriv( ~Asym/(1+exp(-(x-xmid)/scal)), c("Asym", "xmid", "scal"),
51 + function(x, Asym, xmid, scal){} )
55 + Asym <- max(abs(xy[,"y"]))
56 + if (Asym != max(xy[,"y"])) Asym <- -Asym # negative asymptote
57 + xmid <- NLSstClosestX(xy, 0.5 * Asym)
59 + setNames(c(Asym, xmid, scal),
60 + mCall[c("Asym", "xmid", "scal")])
64 function (x, Asym, xmid, scal)
211 Asym 2.3350 0.0966 24.2 3.5e-12 ***
307 > rownames(cf)[2] <- "Asym"
[all …]
/dports/math/libRmath/R-4.1.1/src/library/stats/tests/
H A Dnls.R34 function(x, Asym, xmid, scal){} ) argument
38 Asym <- max(abs(xy[,"y"])) functionVar
39 if (Asym != max(xy[,"y"])) Asym <- -Asym # negative asymptote
40 xmid <- NLSstClosestX(xy, 0.5 * Asym)
41 scal <- NLSstClosestX(xy, 0.75 * Asym) - xmid
42 setNames(c(Asym, xmid, scal),
99 fm1 <- nls(density ~ SSlogis(log(conc), Asym, xmid, scal),
106 start = list(Asym = 3, xmid = 0, scal = 1)) nameattr
111 fm2a <- nls(density ~ Asym/(1 + exp((xmid - log(conc)))),
113 start = list(Asym = 3, xmid = 0)) nameattr
[all …]
H A Dnls.Rout.save50 > logist <- deriv( ~Asym/(1+exp(-(x-xmid)/scal)), c("Asym", "xmid", "scal"),
51 + function(x, Asym, xmid, scal){} )
55 + Asym <- max(abs(xy[,"y"]))
56 + if (Asym != max(xy[,"y"])) Asym <- -Asym # negative asymptote
57 + xmid <- NLSstClosestX(xy, 0.5 * Asym)
59 + setNames(c(Asym, xmid, scal),
60 + mCall[c("Asym", "xmid", "scal")])
64 function (x, Asym, xmid, scal)
211 Asym 2.3350 0.0966 24.2 3.5e-12 ***
307 > rownames(cf)[2] <- "Asym"
[all …]
/dports/math/R-cran-lme4/lme4/tests/
H A Dnlmer.Rout.save26 > (nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ (Asym|Tree),
27 + Orange, start = c(Asym = 200, xmid = 725, scal = 350)))
29 Formula: circumference ~ SSlogis(age, Asym, xmid, scal) ~ (Asym | Tree)
35 Tree Asym 31.646
39 Asym xmid scal
42 Asym xmid scal
H A Dis.R22 nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ Asym|Tree,
23 Orange, start = c(Asym = 200, xmid = 725, scal = 350)) nameattr
H A Dnlmer.R6 (nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ (Asym|Tree),
7 Orange, start = c(Asym = 200, xmid = 725, scal = 350))) nameattr
/dports/math/R-cran-lme4/lme4/man/
H A Dnlmer.Rd111 startvec <- c(Asym = 200, xmid = 725, scal = 350)
112 (nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ Asym|Tree,
119 nform <- ~Asym/(1+exp((xmid-input)/scal))
121 nfun <- deriv(nform,namevec=c("Asym","xmid","scal"),
122 function.arg=c("input","Asym","xmid","scal"))
123 nm1b <- update(nm1,circumference ~ nfun(age, Asym, xmid, scal) ~ Asym | Tree)
129 nfun2 <- function(input, Asym, xmid, scal) {
130 value <- Asym/(1+exp((xmid-input)/scal))
131 grad <- cbind(Asym=1/(1+exp((xmid-input)/scal)),
134 scal=-Asym/(1+exp((xmid-input)/scal))^2*
[all …]
/dports/math/scilab/scilab-6.1.1/scilab/modules/arnoldi/sci_gateway/c/
H A Dsci_eigs.c51 int Asym = 1; in sci_eigs() local
160 Asym = 0; in sci_eigs()
164 if (Asym == 0) in sci_eigs()
309 if (!Acomplex && Asym) in sci_eigs()
707 if (Acomplex || Bcomplex || !Asym) in sci_eigs()
732 if (Asym && !Acomplex && !Bcomplex) in sci_eigs()
738 if (!Asym && !Acomplex && !Bcomplex) in sci_eigs()
751 if (Asym && !Acomplex && !Bcomplex) in sci_eigs()
770 if (Asym) in sci_eigs()
789 if (Asym) in sci_eigs()
[all …]
/dports/math/R-cran-lme4/lme4/tests/testthat/
H A Dtest-nlmer.R7 startvec <- c(Asym = 200, xmid = 725, scal = 350) nameattr
8 nm1 <- nlmer(circumference ~ SSlogis(age, Asym, xmid, scal) ~ Asym|Tree,
/dports/net/tcpdump/tcpdump-4.99.1/tests/
H A Dlldp_asan.out7 …, 100BASE-T2 hdx, 100BASE-T2 fdx, Pause for fdx links, Asym PAUSE for fdx, Sym PAUSE for fdx, Asym…
12 …PMD autoneg capability [Pause for fdx links, Asym PAUSE for fdx, Sym PAUSE for fdx, Asym and Sym P…

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