qmodel: Quadratic model evaluation

In beanumber/cranium: Quantifying Radial Bridge Structures

Description

Fit quadratic model y=x^2 + x to the data and evaluate how well the model fit the data using adjusted R-Squared, RMSE, number of signals being captured

Usage

qmodel(data, type = "wildtype", threshold.n = 0.9)

## S3 method for class 'brain'
qmodel(data, type = "wildtype", threshold.n = 0.9)

## S3 method for class 'tbl_brain'
qmodel(tidy_brain, type = "wildtype",
  threshold.n = 0.9)

Arguments

data	a brain image or a tidy brain
type	wild type or mutant type of zebrafish embryo brain
threshold.n	threshld for signal frequency. Any signal with frequency below threshold value is exluded

Examples

brain <- read_h5(download_brains(tempdir(), pattern = "101"))
qmodel(brain)

#If you have already tidied your brain
tidy_brain <- tidy(brain, type = "wildtype", threshold.n = 0.9)
qmodel(tidy_brain)

beanumber/cranium documentation built on Oct. 17, 2019, 11:03 a.m.