expFitPred: Exponential Fit and plot of data with a predicted value

In MichaelJMahometa/OnRampsR: Collection of functions for The University of Texas OnRamps Statistics course.

Description

Show where a given predicted value will occur, give an input of x (exponential models).

Usage

expFitPred(x, y, xval, xlab = deparse(substitute(x)),
  ylab = deparse(substitute(y)), newxlim = NULL, newylim = NULL,
  showpred = TRUE)

Arguments

x	a designation for a variable on the x-axis. Can be a vector or object.
y	a designation for a variable on the y-axis. Can be a vector or object.
xval	a value of x that you wish to see a predicted value for.
xlab	optional. Text for x-axis title label.
ylab	optional. Text for y-axis title label.
newxlim	optional. Custom limits for the x axis.
newylim	optional. Custom limits for the y axis.
showpred	logical. Should the predicted point value be plotted on the graph? #' @seealso linFit expFitPred logisticFitPred

See Also

expFit linFitPred logisticFitPred

Examples

data(wolf)
wolf$Time <- wolf$Year - min(wolf$Year)
expFit(wolf$Time, wolf$Number)
expFitPred(wolf$Time, wolf$Number, 6)

MichaelJMahometa/OnRampsR documentation built on Feb. 12, 2020, 12:31 a.m.