newSparkBar: Functions to create new Spark object

In sparkTable: Sparklines and Graphical Tables for TeX and HTML

Description

Basic functions to create objects of the class 'spark'. The functions are the base for creating a graphical table.

Usage

newSparkLine(width=NULL, height=NULL, values=NULL, padding=NULL, allColors=NULL,
  pointWidth=NULL, lineWidth=NULL, showIQR=NULL, vMin=NULL, vMax=NULL,outputType="html")
newSparkBar(width=NULL, height=NULL, values=NULL, padding=NULL, barCol=NULL,
  barWidth=NULL, barSpacingPerc=NULL, vMin=NULL, vMax=NULL,bgCol=NULL,outputType="html")
newSparkBox(width=NULL, height=NULL, values=NULL, padding=NULL, boxOutCol=NULL,
    boxMedCol=NULL, boxShowOut=NULL, boxCol=NULL, boxLineWidth=NULL,
    vMin=NULL, vMax=NULL,bgCol=NULL,outputType="html")
newSparkHist(width=NULL, height=NULL, values=NULL, padding=NULL, barCol=NULL,
  barWidth=NULL, barSpacingPerc=NULL, vMin=NULL, vMax=NULL,bgCol=NULL,outputType="html")

Arguments

width	described in setParameter
height	described in setParameter
values	described in setParameter
padding	described in setParameter
allColors	described in setParameter
pointWidth	described in setParameter
lineWidth	described in setParameter
showIQR	described in setParameter
vMin	numeric vector of length 1 definining minimum value required for data scaling
vMax	numeric vector of length 1 definining maximum value required for data scaling
barCol	described in setParameter
barWidth	described in setParameter
barSpacingPerc	described in setParameter
boxOutCol	character vector of length 1 defining the color of outliers in spark boxplots
boxMedCol	character vector of length 1 defining the color of median line in spark boxplots
boxShowOut	logical vector specifying if outliers should be displayed in spark boxplots
boxCol	described in setParameter
boxLineWidth	described in setParameter
bgCol	described in setParameter
outputType	described in plot

Author(s)

Bernhard Meindl, Alexander Kowarik, Statistics Austria

See Also

plot, export, setParameter, getParameter

Examples

  ## Not run: 
  data(pop)
  x <- pop[pop[,2]=="Insgesamt",3]

  ### SparkLine
  a <- newSparkLine(values=x, pointWidth=8)
  export(a, outputType='png', filename='testLine1')

  a <- setParameter(a, sample(1:10, 15, replace=TRUE), type='values')
  getParameter(a, type='values')

  a <- setParameter(a, c("darkred", "darkgreen","darkblue", "white", "black", "red"),
    type='allColors')
  getParameter(a, type='allColors')

  a <- setParameter(a, 3, type='pointWidth')
  a <- setParameter(a, 1, type='lineWidth')

  export(a, outputType="pdf", filename='testLine2')

  a <- setParameter(a, 6, type='width')
  a <- setParameter(a, .6, type='height')
  export(a, outputType='eps', filename='testLine2')

  ### SparkBar
  b <- newSparkBar(values=x-min(x))
  getParameter(b, type='values')

  b <- setParameter(b, c("darkred", "darkgreen","black"), type='barCol')
  export(b, outputType='pdf', filename='testBar1')

  b <- setParameter(b, 0:10, type='values')
  export(b, outputType='pdf', filename='testBar2')

  b <- setParameter(b, 0:-10, type='values')
  export(b, outputType='pdf', filename='testBar3')

  ### SparkBox
  cc <- newSparkBox(values=x)
  cc <- setParameter(cc, "darkgreen", type='outCol')
  getParameter(cc, type='outCol')
  cc <- setParameter(cc, c("black","red"), type='boxCol')

  export(cc, outputType='pdf', filename='testBox1')

  cc <- setParameter(cc, c("black","darkgreen"), type='boxCol')
  cc <- setParameter(cc, "darkred", type='outCol')
  export(cc, outputType='pdf', filename='testBox2')

  ###SparkHist
  hh <- newSparkHist(values=rnorm(100))
  export(hh, outputType='pdf', filename='testHist1')
  
## End(Not run)

sparkTable documentation built on May 2, 2019, 9:34 a.m.