PlotNumVar | R Documentation |
Output plots include a boxplot on the left, grouped by a courser time scale
(dateGpBp
), and three trace plots on the right, on p1, p50,
and p99 qunatiles, mean and +-1 SD control limits, missing and zerorates,
all grouped by a finer time scale as in dateGp
. In addition to plots,
a data.table
of summary statistics are generated, on global and
over time summary statistics.
PlotNumVar(myVar, dataFl, weightNm, dateGp, dateGpBp, skewOpt = NULL,
kSample = 50000)
myVar |
The name of the variable to be plotted |
dataFl |
A |
weightNm |
Name of the variable containing row weights, or |
dateGp |
Name of the variable that the time series plots should be
grouped by. Options are |
dateGpBp |
Name of variable the boxplots should be grouped by. Same
options as |
skewOpt |
Either a numeric constant or |
kSample |
Either |
p |
A |
numVarSummary |
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
.
This function depends on:
SummaryStats
,
PlotDist
,
PlotQuantiles
,
PlotMean
,
PlotRates
,
PrepData
.
data(bankData)
bankData <- PrepData(bankData, dateNm = "date", dateGp = "months",
dateGpBp = "years")
plot(PlotNumVar("balance", bankData, NULL, "months", "years",
skewOpt = NULL, kSample = NULL)$p)
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