mlifeTable_plot {bayesmlogit} | R Documentation |

## Plot life expectancies

### Description

A function for plotting posterior means and their credible intervals. It can also be used as a subfunction in `mlifetable()`

.

### Usage

```
mlifeTable_plot(
state.include = 0,
groupby,
file_path,
X,
cred = 0.84,
states,
prop = TRUE,
subgroup.names = NULL,
state.names = NA,
compare = FALSE,
midpoint.type = "mean",
...
)
```

### Arguments

`state.include` |
A vector or a number used to specify the states whose expectancy years are of interest. Default is 0, which means we'll generate plots for all states. For multiple states specified, we will get the expectancy years for each state and their sum. |

`groupby` |
A vector that contains covariates for subgroup comparisons. It can be inherited from |

`file_path` |
The file path for outputs. It can be inherited from |

`X` |
A matrix of covariates. Note that X must include age as a convariate. It can be inherited from |

`cred` |
Credible level. For example, if |

`states` |
The total number of states in data. It can be inherited from |

`prop` |
If TRUE, this function will output life expectancy proportion plots and tables in addition to original life expectancy plots. Default is TRUE. |

`subgroup.names` |
A vector that contains names of each subgroup. You can also specify them in the output files. |

`state.names` |
A vector used to specify names of each state except death. It can be inherited from |

`compare` |
If TRUE, this function will quote |

`midpoint.type` |
A character used to specify the midpoint type for credible interval plots. Can be either "mean" or "median". Default is "mean", which means the plots will use mean values as the middle point. |

`...` |
Extra parameters for |

### Value

Plots and tables for posterior means and credible intervals of each subgroups.

### See Also

### Examples

```
## Not run:
#Generate plots and corresponding tables only.
mlifeTable_plot(X=lifedata[,-1],state.include = 0,
groupby = c("male","black","hispanic"),
cred = 0.84,
states = 3,
file_path = ".")
#Additionally generate the comparsion results to the reference level.
mlifeTable_plot(X=lifedata[,-1],state.include = 0,
groupby = c("male","black","hispanic"),
cred = 0.84,
states = 3,
file_path = ".",
compare = TRUE,
ref.var = c("black","hispanic"),
ref.level = c(0,0))
## End(Not run)
```

*bayesmlogit*version 1.0.1 Index]