ESTM | R Documentation |

Estimates Linear Function with a formula and a dataset.

```
ESTM(L, Formula, Data, conf.level=0.95)
```

`L` |
a matrix of linear functions rows to be tested |

`Formula` |
a conventional formula for a linear model |

`Data` |
a |

`conf.level` |
confidence level of confidence limit |

It tests rows of linear functions. Linear function means linear combination of estimated coefficients. It is similar to SAS PROC GLM ESTIMATE. This is a convenient version of `est`

function.

`Estimate` |
point estimate of the input linear contrast |

`Lower CL` |
lower confidence limit |

`Upper CL` |
upper confidence limit |

`Std. Error` |
standard error of the point estimate |

`t value` |
value for t distribution |

`Df` |
degree of freedom |

`Pr(>|t|)` |
probability of larger than absolute t value from t distribution with residual's degree of freedom |

Kyun-Seop Bae k@acr.kr

`est`

```
ESTM(t(c(0, -1, 1)), uptake ~ Type, CO2) # Quevec - Mississippi
```

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