Get Purchase Task Descriptive Summary

Calculates descriptive statistics from purchase task data.

Usage

GetDescriptives(
  dat,
  bwplot = FALSE,
  outdir = "../plots/",
  device = "png",
  filename = "bwplot"
)

Arguments

dat

Dataframe (long form)

bwplot

Boolean. If TRUE, a ggplot2 box and whisker plot is saved. Default is FALSE.

outdir

Character. Directory where plot will be saved. Be sure to include trailing '/'. Default location is one level up in "../plots/".

device

Character. Type of file. Default is "png". Can be "pdf".

filename

Character. Specify filename. Defualt is "bwplot".

Value

Dataframe with descriptive statistics

Details

GetDescriptives() has been superseded by get_descriptive_summary(), which provides a modern S3 interface with standardized methods (print(), summary(), plot()). GetDescriptives() will continue to work but is no longer recommended for new code.

Provides the following descriptive statistics from purchase task data at each price: mean consumption, median consumption, standard deviation of consumption, proportion of 0 values, number of NAs, minimum consumption, and maximum consumption.

See also

get_descriptive_summary() for the modern interface

Author

Brent Kaplan bkaplan.ku@gmail.com

Examples

GetDescriptives(apt)
#> Warning: `GetDescriptives()` was deprecated in beezdemand 0.3.0.
#> ℹ Please use `get_descriptive_summary()` instead.
#>    Price Mean Median   SD PropZeros NAs Min Max
#> 1      0  6.8    6.5 2.62       0.0   0   3  10
#> 2    0.5  6.8    6.5 2.62       0.0   0   3  10
#> 3      1  6.5    6.5 2.27       0.0   0   3  10
#> 4    1.5  6.1    6.0 1.91       0.0   0   3   9
#> 5      2  5.3    5.5 1.89       0.0   0   2   8
#> 6    2.5  5.2    5.0 1.87       0.0   0   2   8
#> 7      3  4.8    5.0 1.48       0.0   0   2   7
#> 8      4  4.3    4.5 1.57       0.0   0   2   7
#> 9      5  3.9    3.5 1.45       0.0   0   2   7
#> 10     6  3.5    3.0 1.43       0.0   0   2   6
#> 11     7  3.3    3.0 1.34       0.0   0   2   6
#> 12     8  2.6    2.5 1.51       0.1   0   0   5
#> 13     9  2.4    2.0 1.58       0.1   0   0   5
#> 14    10  2.2    2.0 1.32       0.1   0   0   4
#> 15    15  1.1    0.5 1.37       0.5   0   0   3
#> 16    20  0.8    0.0 1.14       0.6   0   0   3