visCountStats: visCount statistics on user performance
In VisCount: R package for training and evaluating visual count estimates

Description Usage Arguments Value Author(s) References Examples

View source: R/visCountStats.R

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

1 2	visCountStats(sessions = unique(VisCountSessions$Session), VCSessions = VisCountSessions, plot = TRUE)

`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.

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.

A. Marcia Barbosa

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.