beezdemand (version 0.2.0)

FitMeanCurves: Fit Pooled/Mean Curves

Description

Fits curve to pooled or mean data

Usage

FitMeanCurves(
  dat,
  equation,
  k,
  remq0e = FALSE,
  replfree = NULL,
  rem0 = FALSE,
  nrepl = NULL,
  replnum = NULL,
  plotcurves = FALSE,
  method = NULL,
  indpoints = TRUE,
  vartext = NULL
)

Value

Data frame

Arguments

dat

data frame (long form) of purchase task data.

equation

Character vector of length one. Accepts either "hs" for Hursh and Silberberg (2008) or "koff" for Koffarnus, Franck, Stein, and Bickel (2015).

k

A numeric vector of length one. Reflects the range of consumption in log10 units. If none provided, k will be calculated based on the max/min of the entire sample. If k = "fit", k will be a free parameter

remq0e

If TRUE, removes consumption and price where price == 0. Default value is FALSE

replfree

Optionally replaces price == 0 with specified value. Note, if fitting using equation == "hs", and 0 is first price, 0 gets replaced by replfree. Default value is .01

rem0

If TRUE, removes all 0s in consumption data prior to analysis. Default value is FALSE.

nrepl

Number of zeros to replace with replacement value (replnum). Can accept either a number or "all" if all zeros should be replaced. Default is to replace the first zero only.

replnum

Value to replace zeros. Default is .01

plotcurves

Boolean whether to create plot. If TRUE, a "plots/" directory is created one level above working directory. Default is FALSE.

method

Character string of length 1. Accepts "Mean" to fit to mean data or "Pooled" to fit to pooled data

indpoints

Boolean whether to plot individual points in gray. Default is TRUE.

vartext

Character vector specifying indices to report on plots. Valid indices include "Q0d", "Alpha", "Q0e", "EV", "Pmaxe", "Omaxe", "Pmaxd", "Omaxd", "K", "Q0se", "Alphase", "R2", "AbsSS"

Author

Brent Kaplan

Details

FitMeanCurves() has been superseded by fit_demand_fixed() with the agg parameter. FitMeanCurves() will continue to work but is no longer recommended for new code. See vignette("migration-guide") for migration instructions.

See Also

fit_demand_fixed() for the modern interface with agg parameter

Examples

## Fit aggregated data (mean only) using Hursh & Silberberg, 2008 equation with a k fixed at 2
FitMeanCurves(apt[sample(apt$id, 5), ], "hs", k = 2, method = "Mean")