nplr (version 0.1-8)

plot.nplr: Plotting nplr Objects

Description

This function allows visualizing logistic models fitted using nplr.

Usage

# S3 method for nplr
plot(x, pcol = "aquamarine1", lcol = "red3",
  showEstim = FALSE, showCI = TRUE, showGOF = TRUE, showInfl = FALSE,
  showPoints = TRUE, showSDerr = FALSE, B = 1e4, conf.level = .95, unit = "", ...)

Arguments

x

: an object of class nplr

pcol

: the points color.

lcol

: the line color.

showEstim

: logical/numeric. If a numerical value is passed (a y value to reach), the estimated x value , and interval, is displayed on the plot. Default is FALSE

showCI

: logical. show the estimated confidence interval

showGOF

: logical. show the estimated goodness-of-fit.

showInfl

: logical. add the inflexion point on the plot.

showPoints

: logical. add the points on the plot.

showSDerr

: logical. add the standard errors on the plot (maybe useful in case of experiment with replicates).

B

: the length of simulated y values. Used to estimate the confidence interval

conf.level

: the confidence level. See getEstimates

unit

: the unit to specify when showEstim is TRUE. Default is an empty string.

...

: other graphical parameters. See par.

Details

None

References

None

See Also

overlay

Examples

# Using the PC-3 data
  require(nplr)
  path <- system.file("extdata", "pc3.txt", package = "nplr")
  pc3 <- read.delim(path)
  model <- nplr(x = pc3$CONC, y = pc3$GIPROP)
  plot(model, showEstim = 0.5, unit = "nM")