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rxLinePlot: Line Plot

  • Article

Description

Line or scatter plot using data from an .xdf file or data frame - a wrapper function for xyplot.

Usage

  rxLinePlot(formula, data, rowSelection = NULL, 
             transforms = NULL, transformObjects = NULL,
             transformFunc = NULL, transformVars = NULL,
             transformPackages = NULL, transformEnvir = NULL, 
             blocksPerRead = rxGetOption("blocksPerRead"), type = c("l"),
             title = NULL, subtitle = NULL, xTitle = NULL, yTitle = NULL,
             xNumTicks = 10, yNumTicks = 10, legend = TRUE, lineColor = NULL,
             lineStyle = "solid", lineWidth = 2, symbolColor = NULL,
             symbolStyle = "solid circle", symbolSize = NULL,
             plotAreaColor = "gray90", gridColor = "white", gridLineWidth = 1,
             gridLineStyle = "solid",
             reportProgress = rxGetOption("reportProgress"), print = TRUE, ...)

Arguments

formula

formula for plot, taking the form of y~x|g1 + g2where g1 and g2 are optional conditioning factor variables.

data

either an RxXdfData object, a character string specifying the .xdf file, or a data frame containing the data to plot.

rowSelection

name of a logical variable in the data set (in quotes) or a logical expression using variables in the data set to specify row selection. For example, rowSelection = "old" will use only observations in which the value of the variable old is TRUE. rowSelection = (age > 20) & (age < 65) & (log(income) > 10) will use only observations in which the value of the age variable is between 20 and 65 and the value of the log of the income variable is greater than 10. The row selection is performed after processing any data transformations (see the arguments transforms or transformFunc). As with all expressions, rowSelection can be defined outside of the function call using the expression function.

transforms

an expression of the form list(name = expression, ...) representing variable transformations required for the formula or rowSelection. As with all expressions, transforms (or rowSelection) can be defined outside of the function call using the expression function.

transformObjects

a named list containing objects that can be referenced by transforms, transformsFunc, and rowSelection.

transformFunc

variable transformation function. See rxTransform for details.

transformVars

character vector of input data set variables needed for the transformation function. See rxTransform for details.

transformPackages

character vector defining additional R packages (outside of those specified in rxGetOption("transformPackages")) to be made available and preloaded for use in variable transformation functions, e.g., those explicitly defined in RevoScaleR functions via their transforms and transformFunc arguments or those defined implicitly via their formula or rowSelection arguments. The transformPackages argument may also be NULL, indicating that no packages outside rxGetOption("transformPackages") will be preloaded.

transformEnvir

user-defined environment to serve as a parent to all environments developed internally and used for variable data transformation. If transformEnvir = NULL, a new "hash" environment with parent baseenv() is used instead.

blocksPerRead

number of blocks to read for each chunk of data read from the data source.

type

character vector specifying the type of plot. Use "l" for line, "p" for points, "b" for both, "smooth" for a loess fit, "s" for stair steps, or "r" for a regression line.

title

main title for the plot. Alternatively main can be used.

subtitle

subtitle (at the bottom) for the plot. Alternatively sub can be used.

xTitle

title for the X axis. Alternatively xlab can be used.

yTitle

title for the Y axis. Alternatively ylab can be used.

xNumTicks

number of tick marks for numeric X axis.

yNumTicks

number of tick marks for numeric Y axis.

legend

logical value. If TRUE and more than one line or set of symbols is plotted, a legend is is created.

lineColor

character or integer vector specifying line colors for the plot. See colors for a list of available colors.

lineStyle

line style for line plot: "blank", "solid", "dashed", "dotted", "dotdash", "longdash", or "twodash". Specify "blank" for no line, or set type to "p".

lineWidth

a positive number specifiying the line width for line plot. The interpretation is device-specific.

symbolColor

character or integer vector denoting the symbol colors. See colors for a list of available colors.

symbolStyle

character or integer vector denoting the symbol style(s): "circle", "solid circle", "square", "solid square", "triangle", "solid triangle", "diamond", "solid diamond", "plus" (3), "cross" (4), "down triangle" (6), "square x" (7), "star" (8), "diamond +" (9), "circle +" (10), "up down triangle" (11), "square +" (12), "circle x" (13), or any single character.

symbolSize

numerical value giving the amount by which symbols should be magnified.

plotAreaColor

background color for the plot area and legend.

gridColor

color for grid lines. See colors for a list of available colors.

gridLineWidth

line width for grid lines.

gridLineStyle

line style for grid lines: "blank", "solid", "dashed", "dotted", "dotdash", "longdash", or "twodash".

reportProgress

integer value with options:

  • 0: no progress is reported.
  • 1: the number of processed rows is printed and updated.
  • 2: rows processed and timings are reported.
  • 3: rows processed and all timings are reported.

print

logical. If TRUE, the plot is printed. If FALSE, and the lattice package is loaded, an xyplot object is returned invisibly and can be printed later. Note that the printing of the legend or key will depend on the trellis.par.getsettings at the time of printing.

...

additional arguments to be passed directly to the underlying xyplot function if loaded.

Details

rxLinePlot is enhanced by the recommended lattice package.

Value

an xyplot object if the lattice is loaded. Otherwise NULL.

Author(s)

Microsoft Corporation Microsoft Technical Support

See Also

xyplot, rxHistogram.

Examples



 # Create a simple scatter plot using a data frame
 rxLinePlot(Ozone ~ Temp, data=airquality, type="p") 

 # Create the file + path name for the sample data set
 censusWorkers <- file.path(rxGetOption("sampleDataDir"), "CensusWorkers")

 # Compute the weighted counts for age and sex by state
 ageSex <- rxCube(~ F(age) : sex : state, data = censusWorkers, pweights = "perwt")

 # Convert the results to a data frame ready for plotting
 ageSex <- rxResultsDF(ageSex)

 # Draw a line plot of the results in 3 panels (with lattice package loaded)
 rxLinePlot(Counts ~ age | state, groups = sex, data = ageSex,
   title = "2000 U.S. Workers by Age and Sex for 3 States")

 # Use transformation expressions to scale the 
 # Counts and age variables
 rxLinePlot(Counts ~ age | state, groups = sex, data = ageSex,
   transforms=list(Counts = log(Counts), age = age/10), 
   xlab="age / 10", ylab="log(Counts)",
   title = "2000 U.S. Workers by Age and Sex for 3 States")

 # Use both a line and symbols in the plot
 rxLinePlot(Counts ~ age | state, groups = sex, data = ageSex, type = "b",
   title = "2000 U.S. Workers by Age and Sex for 3 States")

 # Create a plot using a subselection of data from an .xdf file
 # Look at Arrival Delay be Departure Time for flights more
 # than an hour late and less than 3 hours late on Tuesday
 airlineData <- file.path(rxGetOption("sampleDataDir"), "AirlineDemoSmall")
 rxLinePlot(ArrDelay~CRSDepTime, data=airlineData, 
    rowSelection= ArrDelay > 60.0 & ArrDelay <= 180.00 & DayOfWeek == "Tuesday",
    type=c( "p", "smooth"), lineColor="red")

 # Customize a plot with a panel function (using the lattice package)
 if ("lattice" %in% .packages())   
 {
   rxLinePlot(Ozone ~ Temp, data = airquality, type = "p",
           panel = function(x, y, ...)
       {
           panel.spline(x,y, lwd = 3, col = 3)
       })  
 }