Description Usage Arguments Value Examples

Normalize and analyze FRAP data. Perform non-linear regression and calculate ymax, ymin, k, halftime, tau, total_recovery, total_recovery_sd.

1 | ```
frapprocess(ds, time_points)
``` |

`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, .... |

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

1 | ```
info <- frapprocess(example_dataset, seq(0, 145, 5))
``` |

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