PlotRatesOverTime | R Documentation |
Creates trace plots of categories' proportions over time for a discrete (or binary) variable
PlotRatesOverTime(dataFl, dateGp, myVar, normBy = "time", weightNm = NULL,
newLevels = NULL, kCategories = 9)
dataFl |
A |
dateGp |
Name of the variable that the time series plots should be
grouped by. Options are |
myVar |
The name of the variable to be plotted |
normBy |
The normalization factor for rate plots, can be |
weightNm |
Name of the variable containing row weights, or |
newLevels |
categories of |
kCategories |
If a categorical variable has more than |
A list:
p |
|
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:
PlotCatVar
.
This function depends on:
PrepData
.
data(bankData)
bankData$weight = rpois(nrow(bankData), 5)
bankData <- PrepData(bankData, dateNm = "date", dateGp = "months",
dateGpBp = "quarters", weightNm = "weight")
PlotRatesOverTime(dataFl = bankData, dateGp = "months", weightNm = "weight",
myVar = "job", newLevels = NULL, normBy = "time")
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