View source: R/bruceR-stats_4_regress.R

GLM_summary | R Documentation |

`lm`

and `glm`

models).NOTE: `model_summary`

is preferred.

```
GLM_summary(model, robust = FALSE, cluster = NULL, digits = 3, ...)
```

`model` |
A model fitted with |

`robust` |
[Only for *** |

`cluster` |
[Only for |

`digits` |
Number of decimal places of output. Defaults to |

`...` |
Other arguments. You may re-define |

No return value.

`print_table`

(print simple table)

`model_summary`

(highly suggested)

`HLM_summary`

`regress`

```
## Example 1: OLS regression
lm = lm(Temp ~ Month + Day + Wind + Solar.R, data=airquality)
GLM_summary(lm)
GLM_summary(lm, robust="HC1")
# Stata's default is "HC1"
# R package <sandwich>'s default is "HC3"
## Example 2: Logistic regression
glm = glm(case ~ age + parity + education + spontaneous + induced,
data=infert, family=binomial)
GLM_summary(glm)
GLM_summary(glm, robust="HC1", cluster="stratum")
```

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