pkgdown: some bugs fixed in function documentation
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+4
-4
@@ -511,6 +511,7 @@ plot_f <- function(dat, TransFlag = FALSE) { # sigmoid,det_sig,
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#' noDilS <- 3
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#' noDilS <- 3
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#' noD <- 8
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#' noD <- 8
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#' Calc_DilRes(as, bs, cs, ds, at, bt, dt, r, ct, sd_fac, gt, gs, log_conc = lnConc, heteroNoise, noDilS, noD)
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#' Calc_DilRes(as, bs, cs, ds, at, bt, dt, r, ct, sd_fac, gt, gs, log_conc = lnConc, heteroNoise, noDilS, noD)
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#'
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Calc_DilRes <- function(as = 3, bs = 1, cs = -4, ds = 10, at = 3, bt = 1, dt = 10, r = 0.0001, ct = cs - r,
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Calc_DilRes <- function(as = 3, bs = 1, cs = -4, ds = 10, at = 3, bt = 1, dt = 10, r = 0.0001, ct = cs - r,
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sd_fac = 0.1, gt = 1, gs = 1, log_conc,
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sd_fac = 0.1, gt = 1, gs = 1, log_conc,
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heteroNoise = FALSE, noDilSeries, noDils) {
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heteroNoise = FALSE, noDilSeries, noDils) {
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@@ -656,7 +657,7 @@ LinPotTab <- function(circles, Lim, PureErrFlag) {
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#' PureErrF <- TRUE
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#' PureErrF <- TRUE
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#'
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#'
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#'
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#'
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#' ANOVAlintests(dat, circles, Lim, PureErrF)
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#' ANOVAlintests(dat, circles=CIRC, Lim, PureErrF)
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#'
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#'
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ANOVAlintests <- function(ro_new, circles, Lim, PureErrFlag) {
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ANOVAlintests <- function(ro_new, circles, Lim, PureErrFlag) {
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all_l <- melt(data.frame(ro_new), id.vars = "log_dose", variable.name = "replname", value.name = "readout")
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all_l <- melt(data.frame(ro_new), id.vars = "log_dose", variable.name = "replname", value.name = "readout")
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@@ -1095,8 +1096,7 @@ pot4plFUNC <- function(ro_new, PureErrFlag) {
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#' @param Conf The confidence of the Confidence Interval (default 95% which requires 0.975).
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#' @param Conf The confidence of the Confidence Interval (default 95% which requires 0.975).
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#' @returns A data-frame with the lower and upper CI in anti-log form.
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#' @returns A data-frame with the lower and upper CI in anti-log form.
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#' @export
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#' @export
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#' @examples
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#' @examples suppressMessages(source("../../dev/setup.R"))
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#' suppressMessages(source("../../dev/setup.R"))
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#' xs <- 2
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#' xs <- 2
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#' xt <- 3.2
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#' xt <- 3.2
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#' se_xt <- 0.34
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#' se_xt <- 0.34
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@@ -1141,7 +1141,7 @@ ParamCI_F <- function(xt, xs, se_xt, se_xs, CoVar, DFs, Conf = 0.975) {
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#' Lim <- c(-1, 1, 0.005, 2, 0.5, 2, 0.5, 2, 75, 133, 75, 133)
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#' Lim <- c(-1, 1, 0.005, 2, 0.5, 2, 0.5, 2, 75, 133, 75, 133)
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#' PureErrF <- FALSE
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#' PureErrF <- FALSE
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#'
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#'
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#' tests_FUNC(ro_new, Lim, PureErrF)
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#' tests_FUNC(ro_new=dat, Lim, PureErrF)
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tests_FUNC <- function(ro_new, Lim, PureErrFlag) {
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tests_FUNC <- function(ro_new, Lim, PureErrFlag) {
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all_l <- melt(data.frame(ro_new), id.vars = "log_dose", variable.name = "replname", value.name = "readout")
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all_l <- melt(data.frame(ro_new), id.vars = "log_dose", variable.name = "replname", value.name = "readout")
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isRef <- rep(c(1, 0), 1, each = nrow(all_l) / 2)
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isRef <- rep(c(1, 0), 1, each = nrow(all_l) / 2)
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