relBackgroundLL: Log-likelihood ratio of grouped responses being drawn from a...

In EffectsRelBaseline: Test changes of a grouped response relative to baseline.

Description

Compute the log-likelihood ratio of the grouped responses being obtained from a background distribution given its mean and variance.

Usage

relBackgroundLL(resp, groups, backMean, backVar)

Arguments

resp	response values
groups	grouping variables (will be treated as factors)
backMean	mean of the background distribution
backVar	variance of the background distribution

Value

log-likelihood ratio

Note

This is the log-likelihood ratio of the changes from background test (CBT). It is included here for comparison.

Author(s)

Peter N. Steinmetz <[e-mail]>

References

Steinmetz, P.N. & Thorp, C.K. (2013) Testing for effects of different stimuli on neuronal firing relative to background activity. Journal of Neural Engineering, in review.

See Also

fRatioStat,LL1WayAnova,sumSqCat

Examples

# calculate test statistic for one cluster
data(ef)
df<-subset(ef,clustId=='ch26cl3')
relBackgroundLL(df$absResp,df$race,mean(df$absBkg),var(df$absBkg))

Example output

[1] -4.875059

EffectsRelBaseline documentation built on May 2, 2019, 9:44 a.m.