plotMonthlyTimeseriesWAnomalyBar: Plot monthly timeseries with anomaly bar
In clayton33/csasMarPhys: DFO Maritimes Physical Oceanography CSAS analysis

plotMonthlyTimeseriesWAnomalyBar

R Documentation

Plot monthly timeseries with anomaly bar

Description

Creates a time series plot with the monthly anomaly and annual anomaly scorecard below.

Usage

plotMonthlyTimeseriesWAnomalyBar(
  xYear,
  xMonth,
  y,
  yAnomaly,
  yNormalizedAnomaly,
  xAnnualAnomaly,
  yAnnualAnomaly,
  plotAnnual = TRUE,
  xClimatology,
  yClimatology,
  sdClimatology,
  xlim,
  ylim,
  anomalyColors,
  scorecardSeparation = par("cin")[2]/2 + 0.1 - 0.05 - 0.0125,
  scorecardWidth = par("cin")[2] + 0.2 - 0.05 - 0.0125
)

Arguments

`xYear`	a numeric vector of the associated year
`xMonth`	a numeric vector of the associated month
`y`	a numeric vector of the associated year month value
`yAnomaly`	a numeric vector of the associated anomaly year month value
`yNormalizedAnomaly`	a numeric vector of the associated normalized anomaly with xYear and xMonth
`xAnnualAnomaly`	a numeric vector of the year for the annual anomaly
`yAnnualAnomaly`	a numeric vector of the annual anomaly
`plotAnnual`	a logical value indicating if the annual anomaly should be shown in the scorecard bar, default is `TRUE`
`xClimatology`	a numeric vector of the months for the monthly climatology
`yClimatology`	a numeric vector of the climatology values for associated month
`sdClimatology`	a numeric vector of the standard deviation for the associated month
`xlim`	the x limits (x1, x2) of the plot
`ylim`	the y limits (y1, y2) of the plot
`anomalyColors`	a list that contains the colors and breaks of the desired color bar for the anomaly scorecard
`scorecardSeparation`	Value used to denote the separation between the main plot and scorecard. Suggested to use `par('cin')[2]` as a starting point and play with that value. If closer is desired, decrease.
`scorecardWidth`	Value used to denote the width of the scorecard. Suggested to use `par('cin')[2]` as a starting point and play with that value. If wider is desired, increase.