visCountStats: visCount statistics on user performance

Description Usage Arguments Value Author(s) References Examples

View source: R/visCountStats.R

Description

This function provides the user with several statistics on their count estimate performance over different trials and training sessions.

Usage

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visCountStats(sessions = unique(VisCountSessions$Session), 
VCSessions = VisCountSessions, plot = TRUE)

Arguments

sessions

numeric integer vector specifying the training sessions to calculate performace statistics for. The default is all the sessions recorded in the VisCountSessions results table.

VCSessions

name of the table containing the VisCountSessions results. VisCountSessions is the default.

plot

logical, whether to provide the graphical results as well. Deafaults to TRUE.

Value

If there are no VisCountSessions results available, the function returns a message telling you so. If there are, it returns a list with the following components:

TrialStats

a data frame showing data and user performance over the visCount trials included in the specified sessions.

SessionStats

a data frame summarizing user performance in each of specified sessions.

OverallAccuracy

a numerical value of the overall user performance, measured by the coefficient of determination (R-squared) of the equality line ( where estimates = true numbers; Poole 1974, Romdal et al. 2005).

If plot = TRUE, the function also produces a set of 4 plots depicting these statistics.

Author(s)

A. Marcia Barbosa

References

Poole R.W. (1974) An Introduction to Quantitative Ecology. McGraw-Hill, NY.

Romdal T.S., Colwell R.K. & Rahbek C. (2005) The influence of band sum area, domain extent, and range sizes on the latitudinal mid-domain effect. Ecology 86:235-244.

Examples

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VisCount documentation built on May 2, 2019, 4:52 p.m.