Description Usage Arguments Details Value Examples

The function depicts the overlayed two plots; one is observed data, the other is simulation result using fitted MM constant and catalytic constant.

1 2 |

`method` |
method selection: T=TQ model, F=SQ model(default = T) |

`CL` |
Adding empircal 95% confidence interval (default = T) |

`time` |
observed time interval |

`species` |
observed trajectory of product |

`enz` |
enzyme concentration |

`subs` |
substrate concentration |

`MM` |
true value of MM constant |

`catal` |
initial value of catalytic constant |

`nrepeat` |
total number of simulation (default=100) |

`ti` |
tme interval for descreted simulatin result (default =1) |

Basically this function draws overlayed picture: The one is trajectory of given data of products for enzyme kinetics model. The other is trajectory of products from simulation result of Gillespie algorithm with estimated two constants, Michaelis-Menten constant and catalytic constant. CL option controls the plot that depicts the observed data and mean of simulated series only or adding 95 confidence interval with 10 samples of simulated trajectory.

This functio has no returned object.

1 2 3 4 5 |

```
There were 50 or more warnings (use warnings() to see the first 50)
```

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.