Description Usage Arguments Value License See Also Examples

Output plots include a bar plot with cateogries ordered by global counts,
and trace plots of categories' proportions over time. This function is also
appliable to a binary varible, which is treated as categorical in this
package. In addition to plots, a `data.table`

of summary statistics
are generated, on global counts and proportions by cateory, and proportions
by category over time.

1 2 | ```
PlotCatVar(myVar, dataFl, weightNm = NULL, dateNm, dateGp, kCategories = 9,
normBy = "time")
``` |

`myVar` |
The name of the variable to be plotted |

`dataFl` |
A |

`weightNm` |
Name of the variable containing row weights, or |

`dateNm` |
Name of column containing the date variable. |

`dateGp` |
Name of the variable that the time series plots should be
grouped by. Options are |

`kCategories` |
If a categorical variable has more than |

`normBy` |
The normalization factor for rate plots, can be |

`p` |
A |

`catVarSummary` |
A |

Copyright 2017 Capital One Services, LLC Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Functions depend on this function:
`PlotVar`

,
`PrintPlots`

,
`vlm`

.

This function depends on:
`PlotBarplot`

,
`PlotRatesOverTime`

,
`PrepData`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
data(bankData)
bankData <- PrepData(bankData, dateNm = "date", dateGp = "months",
dateGpBp = "quarters", weightNm = NULL)
# Single histogram is plotted for job type since there are 12 categories
plot(PlotCatVar(myVar = "job", dataFl = bankData, weightNm = NULL,
dateNm = "date", dateGp = "months")$p)
plot(PlotCatVar(myVar = "job", dataFl = bankData, weightNm = NULL,
dateNm = "date", dateGp = "months", kCategories = 12)$p)
## Binary data is treated as categorical, and only the less frequent
## category is plotted over time.
plot(PlotCatVar(myVar = "default", dataFl = bankData, weightNm = NULL,
dateNm = "date", dateGp = "months")$p)
``` |

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