SummaryStats: Create summary statistics for a numerical variable
In otvPlots: Over Time Variable Plots

Description Usage Arguments Value License Examples

Create summary statistics for a numerical variable

1	SummaryStats(myVar, dataFl, dateGp, weightNm = NULL)

`myVar`	The name of the variable to be plotted
`dataFl`	A `data.table` of data; must be the output of the `PrepData` function.
`dateGp`	Name of the variable that the time series plots should be grouped by. Options are `NULL`, `"weeks"`, `"months"`, `"quarters"`, `"years"`. See `IDate` for details. If `NULL`, then `dateNm` will be used as `dateGp`.
`weightNm`	Name of the variable containing row weights, or `NULL` for no weights (all rows receiving weight 1).

`meltdx`	A `data.table` for use by the plotting funtions `PlotMean`, `PlotQuantiles`, and `PlotRates`.
`numVarSummary`	A `data.table` of summary statistics.

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.

data(bankData)
bankData <- PrepData(bankData, dateNm = "date", dateGp = "quarters", 
                    dateGpBp = "years")
mdx <- SummaryStats(myVar = "age", dataFl = bankData, 
                   dateGp = "quarters")$meltdx
plot(PlotQuantiles(mdx[variable %in% c("p99", "p50", "p1", "p99_g", "p50_g",
                   "p1_g")], "age", "quarters"))
plot(PlotMean(mdx[variable %in% c("mean", "cl1", "cl2")], "age", "quarters"))
plot(PlotRates(mdx, "age", "quarters"))