Description Usage Arguments Value Examples

Build general linear model, generalized linear model, cox regression model with only one dependent variables.

1 2 3 |

`data` |
A data.frame to build the regression model. |

`x` |
Integer column indices or names of the variables to be included in univariate analysis. If |

`y` |
Integer column indice or name of dependent variable, only one integer or character |

`cov` |
Integer column indices or name of covariate variables |

`factors` |
Integer column indices or names of variables to be treated as factor |

`model` |
regression model, see |

`time` |
Integer column indices or name of survival time, used in cox regression, see |

`cov_show` |
A logical, whether to create covariates result, default FALSE |

`detail_show` |
A logical, whether to create each regression result, default FALSE. If TRUE, with many regressions, the return result could be very large. |

`confint_glm` |
A character, 'default' or 'profile'. The default method for 'glm' class to compute confidence intervals assumes asymptotic normality |

`save_to_file` |
A character, containing file name or path |

If detail_show is TRUE, the return result is a list including two components, the first part is a detailed analysis result, the second part is a concentrated result in a data.frame. Otherwise, only return concentrated result in a data.frame.

1 2 3 4 5 | ```
reg_glm<-reg_x(data = diabetes, x = c(1:4, 6), y = 5, factors = c(1, 3, 4), model = 'glm')
## other methods
fit<-reg_x(data = diabetes, x = c(1, 3:6), y = "age", factors = c(1, 3, 4), model = 'lm')
fit<-reg_x(data = diabetes, x = c( "sex","education","BMI"), y = "diabetes",
time ="age", factors = c("sex","smoking","education"), model = 'coxph')
``` |

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