performanceBins: Performance Bins

In wjhopper/FAM: Forgetting and Memory, an Investigation of the Testing Effect

Description

Summarise a variables by groups and bin the observations

Usage

performanceBins(data, bin_by, cutpoints = c(0, 0.25, 0.5, 0.75, 1), ...)

Arguments

data	data frame to work with
bin_by	Character vector defining the variables to group the data by
cutpoints	numeric vector of value to bin the measured variable at. Values not within the range of this vector will be grouped into the NA category. By default, data is binned into quartiles.
...	Name-value pairs of summary functions like mean(), sd() etc.

Value

An ungrouped table df summmarising the observed count and frequency in each bin

Examples

filter(LB4L_allSs, list==1) %>%
performanceBins(bin_by = "subject",
                cutpoints=c(0,.25, .75,1),
                acc=mean(final_score))

wjhopper/FAM documentation built on May 4, 2019, 7:33 a.m.