plot_line {creditmodel} | R Documentation |

You can use the `plot_bar`

to produce the barplot.

plot_line( dat, x, y = NULL, x_breaks = NULL, y_breaks = NULL, cut_bin = "equal_width", g_x = 10, g_y = 5, target = NULL, value = NULL, type = "total_pct", reverse = FALSE, string_bins = FALSE, pl_theme = plot_theme(legend.position = "right", title_size = 9, legend_size = 7, axis_title_size = 8), fill_colors = c(love_color(type = "deep"), love_color(type = "light"), love_color(type = "shallow")) )

`dat` |
A data.frame with independent variables and target variable. |

`x` |
The name of an independent variable. |

`y` |
The name of target variable. Default is NULL. |

`x_breaks` |
Breaks points of x. |

`y_breaks` |
Breaks points of y. |

`cut_bin` |
'equal_width' or 'equal_depth' to produce the breaks points. |

`g_x` |
Number of initial breakpoints for equal frequency binning of x. |

`g_y` |
Number of initial breakpoints for equal frequency binning of y. |

`target` |
The name of target variable. |

`value` |
The name of the variable to sum. When this parameter is NULL, the default statistics is to sum frequency. |

`type` |
Output form of the result of crosstable. Provide these forms:"each_pct_x", "each_pct_y","total_sum","total_pct","total_mean","total_median","total_max","total_min","bad_sum","bad_pct". |

`reverse` |
Logical,whether reverse the plot. |

`string_bins` |
Whether to process bins of classification variables. |

`pl_theme` |
theme of the plot |

`fill_colors` |
Colors of line. |

plot_line(dat = lendingclub, x = "grade") plot_line(dat = lendingclub, x = "grade", y = "mort_acc",type = "bad_pct",g_x = 10,g_y = 3, cut_bin = "equal_depth",target = "loan_status")

[Package *creditmodel* version 1.3.0 Index]