| frapprocess {frapplot} | R Documentation |
Process FRAP data
Description
Normalize and analyze FRAP data. Perform non-linear regression and calculate ymax, ymin, k, halftime, tau, total_recovery, total_recovery_sd.
Usage
frapprocess(ds, time_points)
Arguments
ds |
A dataset that contains FRAP data for multiple experiment groups |
time_points |
A vector of time points (in second) that the experiment uses, e.g. 0, 5, 10, .... |
Value
A list of results:
$time_points: a vector of time points
$summary: summary of the regression
$sample_means: a matrix of sample means, nrow = num of time points, ncol = sample size
$sample_sd: a matrix of standard deviations, nrow = num of time points, ncol = sample size
$model: a list of models for each group from the non-linear regression
$details: details of the regression for each group
Examples
info <- frapprocess(example_dataset, seq(0, 145, 5))
[Package frapplot version 0.1.3 Index]